AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success

BY SCOTT M. GRAFFIUS | ScottGraffius.com

Scott M Graffius - AI -AI is a Team Sport- A Confluence of Diverse Technical and Soft Skills are Crucial for Success



Select here to download this article as a PDF.

This article covers the significance of well-rounded AI teams, including how both soft and technical skills are critical and fuel success. It’s informed by Graffius' work on AI projects as well as research and coverage from DARPA, IBM, IEEE, MIT, Microsoft, Software Engineering Institute, Stanford University, United States Artificial Intelligence Institute, and others (all listed in the bibliography section of this article).


Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Introduction

Introduction

Artificial Intelligence (AI) has emerged as a transformative force across a growing number of industries, revolutionizing how we live, work, and interact. From autonomous vehicles and virtual assistants to personalized recommendations and medical diagnoses, AI systems have become integral to our daily lives. Behind these cutting-edge, life-changing solutions are AI teams that possess a combination of soft skills—also known as core skills, interpersonal skills, people skills, power skills, transferable skills, or transversal skills—and technical expertise.

This article highlights the synergy between soft skills and technical skills in the world of AI. While technical skills provide the general foundation for AI development, it’s the soft skills that elevate AI projects to new heights. From effective communication and critical thinking to leadership and teamwork, soft skills play a pivotal role in translating technical knowledge and capabilities into real-world applications.

The thesis of this article is that the successful development and application of AI requires a combination of soft skills and technical expertise. Technical competencies alone are not enough. Rather, it’s the combination and integration of soft and technical skills that truly unlocks the power of AI.

Next, this article focuses on the importance of soft skills in the AI landscape, highlighting how they complement and enhance technical abilities. The collaboration between these skill sets drives AI innovation.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Main2

Understanding Soft Skills in AI Teams

In the realm of AI, technical expertise often takes center stage. However, soft skills advance the successful outcomes of AI projects, as they facilitate effective communication, foster collaboration, and promote critical thinking. Soft skills are powerful facilitators of success.

Soft skills encompass a range of interpersonal and cognitive abilities that enable teams to work harmoniously, adapt to evolving challenges, and solve complex problems. In the AI landscape, where multidisciplinary teams come together to create innovative solutions, these soft skills are essential.

Effective communication stands at the forefront of soft skills in AI. AI teams must articulate complex technical concepts in a manner that is understandable to diverse stakeholders, including non-technical staff and internal or external customers/users. Clear communication promotes collaboration and ensures alignment of purpose and objectives throughout the AI development lifecycle.

Soft skills such as problem-solving and critical thinking are vital as well. AI teams frequently encounter multifaceted challenges, and it is through these soft skills that teams can identify potential bottlenecks, navigate complexities, and devise innovative solutions. By leveraging critical thinking, AI team members can evaluate different approaches, consider ethical implications, and make informed decisions that shape the development and application of AI systems.

Leadership and teamwork skills are also paramount. AI projects involve team members from diverse backgrounds, including data scientists, engineers, domain experts, designers, and others. Effective leadership enables the coordination of efforts and guides the project towards success. Similarly, teamwork skills foster an environment of trust and respect, promoting synergy among team members and enhancing overall productivity.

Recognizing the importance of soft skills in AI is crucial for fostering a balanced and effective team dynamic. It ensures that AI teams possess the interpersonal and cognitive abilities necessary to bring AI projects to fruition. The integration of soft skills alongside technical expertise sets the stage for a cohesive team capable of tackling complex AI challenges with agility and innovation.

The role of technical skills—including how they intersect with soft skills to create a powerful combination that drives success—are covered next.

The Role of Technical Skills in AI Teams

Technical skills provide the tools and knowledge required to design, build, and implement AI systems. This section explores the role that technical skills play in AI and their specific applications in various stages of AI projects.

  • Programming Languages and Algorithms: Proficiency in programming languages such as Python, Java, or R is essential. These languages enable team members to write efficient code, manipulate and analyze data, and implement machine learning algorithms. Understanding algorithms, from classic ones like linear regression to cutting-edge deep learning models, empowers AI professionals to leverage mathematical principles and statistical techniques to train and optimize AI systems.
  • Data Analysis and Management: AI relies on data, making data analysis and management skills crucial. AI team members need to be adept at collecting, cleaning, and preprocessing data, ensuring its quality and relevance. They must possess the knowledge of statistical methods, data visualization techniques, and data engineering practices to extract insights from complex datasets and prepare them for AI model training.
  • Machine Learning and Neural Networks: Technical skills in machine learning are at the heart of AI systems. Understanding machine learning algorithms, such as decision trees, support vector machines, or convolutional neural networks, enables AI team members to create models that can learn from data and make intelligent predictions or decisions. Expertise in neural networks and deep learning architectures equips professionals with the ability to develop complex models capable of handling tasks like image recognition, natural language processing, and reinforcement learning.
  • AI Frameworks and Tools: Proficiency in AI frameworks and tools (such as TensorFlow, Keras, PyTorch, Caffe, Scikit-learn, and others) are essential for building AI systems efficiently. These frameworks provide pre-built modules, libraries, and APIs that simplify the implementation of AI algorithms and models. Technical skills in utilizing these tools effectively enable AI team members to accelerate the development process, streamline model training, and optimize system performance.
  • Domain Knowledge and Application-Specific Skills: Technical skills also encompass domain knowledge and application-specific expertise. Understanding the nuances of the industry or problem domain in which AI is being applied allows professionals to tailor AI solutions to meet specific requirements. For example, healthcare-focused AI projects may require knowledge of medical terminologies and regulatory considerations, while AI solutions for financial services may demand expertise in risk assessment and fraud detection.

Technical skills are essential for AI projects. They enable team members to translate concepts, theories, and algorithms into practical applications. However, technical skills alone are not sufficient for success. The collaborative nature of AI development and the need for a well-rounded AI team—including the synergy between technical skills and soft skills—is covered next.

The Power of Synergy: Soft Skills and Technical Skills in AI Teams

Scott M Graffius - AI is a Team Sport - AI Team Skills - v July 13 2023 - 1000x1000 for Blog

The convergence of soft skills and technical skills is where true innovation and breakthroughs occur. The successful development and application of AI systems rely not only on technical expertise but also on the harmonious integration of soft skills. Here’s some examples of the power of synergy between these skill sets, including how they work together to drive AI advancement:

  • Effective Communication and Technical Expertise: Communication bridges the gap between AI professionals and others who may not possess technical backgrounds. AI experts with strong communication skills can articulate complex technical concepts in plain English, ensuring that everyone involved understands the goals, challenges, and progress of the project. By effectively conveying ideas, AI professionals foster collaboration, gather valuable insights, and create a shared vision for AI initiatives.
  • Collaboration and Problem-Solving: Collaboration is at the core of AI development, and soft skills such as teamwork, empathy, and active listening facilitate effective collaboration among diverse team members. AI teams with strong collaboration skills can effectively pool their technical expertise, brainstorm ideas, and solve complex problems together. By leveraging their collective intelligence and diverse perspectives, AI teams can overcome challenges, refine AI models, and optimize the performance of AI solutions.
  • Critical Thinking and Technical Innovation: Critical thinking, coupled with technical expertise, leads to innovative AI solutions. AI professionals with strong critical thinking skills can evaluate different approaches, challenge assumptions, and identify potential shortcomings or biases in AI models. They can think creatively to address issues such as data biases or fairness concerns, ensuring that AI systems are developed responsibly and ethically.
  • Leadership and Team Empowerment: Effective leadership in AI projects involves establishing and maintaining a collaborative and inclusive environment, empowering team members, and harnessing their full potential. AI leaders with exceptional interpersonal abilities can inspire and motivate their team, foster a culture of continuous learning, and provide guidance in navigating complex technical challenges. They encourage interdisciplinary collaboration, respect diverse perspectives, and drive the team towards achieving AI objectives.

The synergy between soft skills and technical skills is the catalyst that drives AI projects towards success. It enables AI teams to go beyond technical expertise and develop AI systems that address real-world problems effectively. By embracing a holistic approach that values both soft skills and technical skills, organizations can foster an environment where AI thrives, resulting in innovative solutions that have a positive impact on society.

Strategies for developing and nurturing soft skills are covered next.

Developing and Advancing Soft Skills in AI Teams

AI teams need soft skills to be successful. Organizations and teams should prioritize the development and advancement of these skills. Here are some strategies to enhance soft skills and foster a well-rounded AI workforce:

  • Training Programs and Workshops: Implement specialized training programs and workshops focused on enhancing soft skills. Offer courses in effective communication, leadership (including how to navigate the phases of team development), problem-solving, critical thinking, and collaboration. These programs can provide AI professionals with the necessary tools and techniques to effectively apply soft skills in their work.
  • Interdisciplinary Collaboration and Knowledge Sharing: Encourage interdisciplinary collaboration by creating opportunities for AI team members to work alongside experts from diverse fields such as psychology, design, ethics, and business. This collaboration allows for cross-pollination of ideas, encourages different perspectives, and broadens the skill set of AI teams. Foster a culture of knowledge sharing, where professionals can learn from each other and leverage their collective experiences and expertise.
  • Real-World Project Engagement: Provide AI team members with opportunities to work on (other) real-world projects, allowing them to apply their soft skills in practical scenarios. Engaging in projects that involve interaction with clients, end-users, and stakeholders helps AI team members develop effective communication, problem-solving, and teamwork skills.
  • Continuous Learning and Professional Development: Encourage AI team members to engage in continuous learning and professional development activities. This can include attending conferences, participating in webinars, reading industry publications, and pursuing certifications in relevant areas. Promote a growth mindset among AI team members, emphasizing the importance of lifelong learning and staying current with the latest developments in both technical and soft skills domains.
  • Mentorship and Coaching: Establish mentorship and coaching programs where experienced AI professionals guide and support individuals with less experience. Mentors can provide valuable insights, share their experiences, and offer guidance on developing skills. Regular feedback and coaching sessions help AI professionals identify areas for improvement and provide targeted development opportunities.

By implementing these strategies, organizations can cultivate a workforce that excels not only in technical skills but also in the essential soft skills required for AI success. Nurturing well-rounded AI professionals creates a collaborative and adaptive environment, where AI teams can effectively address complex challenges, drive innovation, and deliver impactful solutions.

The next section wraps up this exploration.

Scott M Graffius - AI is a Team Sport - AI Lab Creative - v 230906 - sq

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Conclusion

Conclusion


The successful development and application of AI systems rely on the synergy between soft skills and technical skills. While technical expertise forms the foundation, it's the integration of soft skills that elevates AI projects to new heights. Effective communication, collaboration, critical thinking, and leadership are among the key soft skills that enable AI teams to excel.

This article explored the significance of soft skills in AI, emphasizing their role in fostering effective teamwork, problem-solving, and innovation. It also acknowledged the indispensable role of technical skills in AI development, including programming languages, algorithms, data analysis, domain knowledge, and more.

Organizations can create well-rounded AI teams with a holistic set of abilities by embracing the power of synergy between soft skills and technical skills. AI team members with strong soft skills can effectively communicate their ideas, collaborate seamlessly, think critically, and provide leadership that empowers their teams.

To advance soft skills among AI professionals, organizations should invest in training programs, promote interdisciplinary collaboration, encourage continuous learning, and foster mentorship and coaching relationships. These efforts will help AI professionals develop the interpersonal and cognitive abilities necessary to thrive in the dynamic and collaborative AI landscape.

AI is a team sport that thrives on the confluence of soft skills and technical skills. By recognizing and embracing this synergy, organizations can unlock the full potential of AI, delivering innovative solutions that address real-world challenges and have a positive impact on the world.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_References

References/Sources

All of the supplied links were functional when this article was published.

  • Graffius, Scott M. (2023, April 26). The Science of High-Performance Teams [Presentation]. Talk delivered at the DevOps Institute’s SKILup Day 2023 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.15888.28169. DOI link: https://dx.doi.org/10.13140/RG.2.2.15888.28169.
  • Graffius, Scott M. (2023, January 9). Use the Phases of Team Development (Based on Bruce W. Tuckman's Model of Forming, Storming, Norming, Performing, and Adjourning) to Help Teams Grow and Advance: 2023 Update. Available at: https://scottgraffius.com. Digital Object Identifier (DOI): 10.13140/RG.2.2.10720.35846. DOI link: https://dx.doi.org/10.13140/RG.2.2.10720.35846.
  • Graffius, Scott M. (2022, May 13). Want Happier and More Productive DevOps Teams? [Presentation]. Talk delivered at DevOpsDays Geneva, Switzerland 2022 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.22252.85127. DOI link: https://dx.doi.org/10.13140/RG.2.2.22252.85127.
  • Graffius, Scott M. (2021, October 5). Navigate the Phases of Team Development with Speed and Agility for Happier and More Productive Teams [Presentation]. Talk delivered at the Institute of Electrical and Electronics Engineers IEEE Day 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.20055.19365. DOI link: https://dx.doi.org/10.13140/RG.2.2.20055.19365.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Cite

How to Cite This Article

Graffius, Scott M. (2023, May 1). AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success. Available at:
https://scottgraffius.com/blog/files/successful-ai-teams.html. DOI: 10.13140/RG.2.2.20321.79200.

black_spacer_lr_sq_v3

About Scott M. Graffius


Scott-M-Graffius---SA---v23050207-LR

Scott M. Graffius, PMP, SA, CSP-SM, CSP-PO, CSM, CSPO, SFE, ITIL, LSSGB is an agile project management practitioner, consultant, multi-award-winning author, and international keynote speaker. He is the Founder of Exceptional PPM and PMO Solutions™ and subsidiary Exceptional Agility™. He has generated over $1.9 billion of business value in aggregate for Global Fortune 500 businesses and other organizations he has served. Graffius and content from his books, talks, workshops, and more have been featured and used by businesses, professional associations, governments, and universities. Examples include Microsoft, Oracle, Broadcom, Cisco, Gartner, Project Management Institute, IEEE, Qantas, National Academy of Sciences, United States Department of Energy, New Zealand Ministry of Education, Yale University, Tufts University, and others. He has delighted audiences with dynamic and engaging talks and workshops on agile, project management, and technology leadership at 85 conferences and other events across 25 countries.

His full bio is available
here.

Connect with Scott on:


follow-scott-m-graffius-on-twitter---v22122107-1000x1000-lr---sq

black_spacer_lr_sq_v3

About Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

scott_m_graffius_agile_scrum_v22123007_lr_1000x1000_sq

Shifting customer needs are common in today's marketplace. Businesses must be adaptive and responsive to change while delivering an exceptional customer experience to be competitive.

There are a variety of frameworks supporting the development of products and services, and most approaches fall into one of two broad categories: traditional or agile. Traditional practices such as waterfall engage sequential development, while agile involves iterative and incremental deliverables. Organizations are increasingly embracing agile to manage projects, and best meet their business needs of rapid response to change, fast delivery speed, and more.

With clear and easy to follow instructions, the multi award-winning
Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions book by Scott M. Graffius (Chris Hare and Colin Giffen, Technical Editors) helps the reader:

  • Implement and use the most popular agile frameworkโ€•Scrum;
  • Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
  • Support innovation and drive competitive advantage.

Hailed by Literary Titan as “the book highlights the versatility of Scrum beautifully.”

Winner of 17 first place awards.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

About
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change

scott_m_graffius_agile_transformation_lr_1000x505

Thriving in today's marketplace frequently depends on making a transformation to become more agile. Those successful in the transition enjoy faster delivery speed and ROI, higher satisfaction, continuous improvement, and additional benefits.

Based on actual events,
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change provides a quick (60-90 minute) read about a successful agile transformation at a multinational entertainment and media company, told from the author's perspective as an agile coach.

The award-winning book by
Scott M. Graffius is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

The short URL for this article is:
https://bit.ly/ai-teams

© Copyright 2023 Scott M. Graffius. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without the express written permission of Scott M. Graffius.





custom - back to main page of blog



Scott M. Graffius Speaking at Quantum Computing Conference

BY SCOTT M. GRAFFIUS | ScottGraffius.com

Scott M Graffius - Conf42 Quantum Computing Conference 2023 - Cover Image - LR



Scott M. Graffius has delivered 86 talks and workshops at conferences and other events across 25 countries. His newest engagement will be at the Conf42 Quantum Computing 2023 Conference, where he'll present “What Successful AI Teams Have in Common.” The talk draws from his work on AI projects as well as research from the Association for the Advancement of Artificial Intelligence, Google, IBM, IEEE, Microsoft, MIT, Software Engineering Institute, United States Artificial Intelligence Institute, and many others.

The conference also includes talks by:

Details
โ†ด

๐Ÿ“ Watch the Quantum Computing Conference online
๐Ÿ—“ June 29, 2023 at 10:00 a.m. PT | 5:00 p.m. GMT | 8:00 p.m. EET
๐ŸŽŸ Subscribe to watch at: https://bit.ly/1-signup

Scott M Graffius - Conf42 Quantum Computing Conference - Excerpt from Program

black_spacer_lr_sq_v3

About Scott M. Graffius


Scott-M-Graffius---SA---v23050207-LR

Scott M. Graffius, PMP, SA, CSP-SM, CSP-PO, CSM, CSPO, SFE, ITIL, LSSGB is an agile project management practitioner, consultant, multi-award-winning author, and international keynote speaker. He is the Founder of Exceptional PPM and PMO Solutions™ and subsidiary Exceptional Agility™. He has generated over $1.9 billion of business value in aggregate for Global Fortune 500 businesses and other organizations he has served. Graffius and content from his books, talks, workshops, and more have been featured and used by businesses, professional associations, governments, and universities. Examples include Microsoft, Oracle, Broadcom, Cisco, Gartner, Project Management Institute, IEEE, Qantas, National Academy of Sciences, United States Department of Energy, New Zealand Ministry of Education, Yale University, Tufts University, and others. He has delighted audiences with dynamic and engaging talks and workshops on agile, project management, and technology (including AI) leadership at 86 conferences and other events across 25 countries.

His full bio is available
here.

Connect with Scott on:


follow-scott-m-graffius-on-twitter---v22122107-1000x1000-lr---sq

black_spacer_lr_sq_v3

About Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

scott_m_graffius_agile_scrum_v22123007_lr_1000x1000_sq

Shifting customer needs are common in today's marketplace. Businesses must be adaptive and responsive to change while delivering an exceptional customer experience to be competitive.

There are a variety of frameworks supporting the development of products and services, and most approaches fall into one of two broad categories: traditional or agile. Traditional practices such as waterfall engage sequential development, while agile involves iterative and incremental deliverables. Organizations are increasingly embracing agile to manage projects, and best meet their business needs of rapid response to change, fast delivery speed, and more.

With clear and easy to follow instructions, the multi award-winning
Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions book by Scott M. Graffius (Chris Hare and Colin Giffen, Technical Editors) helps the reader:

  • Implement and use the most popular agile frameworkโ€•Scrum;
  • Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
  • Support innovation and drive competitive advantage.

Hailed by Literary Titan as “the book highlights the versatility of Scrum beautifully.”

Winner of 17 first place awards.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

About
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change

scott_m_graffius_agile_transformation_lr_1000x505

Thriving in today's marketplace frequently depends on making a transformation to become more agile. Those successful in the transition enjoy faster delivery speed and ROI, higher satisfaction, continuous improvement, and additional benefits.

Based on actual events,
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change provides a quick (60-90 minute) read about a successful agile transformation at a multinational entertainment and media company, told from the author's perspective as an agile coach.

The award-winning book by
Scott M. Graffius is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

The short URL for this article is:
https://bit.ly/conf42

© Copyright 2023 Scott M. Graffius. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without the express written permission of Scott M. Graffius.





custom - back to main page of blog



Top 5 Roles on AI Teams

BY SCOTT M. GRAFFIUS | ScottGraffius.com

Scott M Graffius - Top Five Roles on AI Teams - v Oct 8 2023 LwRes



Select
here to download a PDF of this article.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Introduction

Effective Artificial Intelligence (AI) teams leverage critical hard skills and soft skills to develop and deliver successful AI products, including innovative solutions that address real-world challenges and have a positive impact on the world. (If you’d like to learn about the critical skills leveraged by effective AI teams, select here for our popular article on the topic.) This article focuses on the roles on AI teams.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Main

The composition (size and roles) of AI teams varies by organization based on the respective company’s needs, the nature of the AI endeavor including complexity, and other factors. However, AI teams commonly include (at least these) five positions. Here are the five along with brief descriptions, listed in alphabetical order:

  1. AI Research Scientist: AI research scientists are responsible for conducting research and developing cutting-edge AI algorithms and models.
  2. AI Software Engineer: AI software engineers are responsible for integrating AI components into software applications. They bridge the gap between AI research and practical implementation, making AI systems usable by end-users.
  3. Data Engineer: Data engineers are responsible for building and managing the data pipelines that feed AI models. They ensure that data is collected, cleaned, and prepared in a format suitable for analysis and model training.
  4. Data Scientist: Data scientists are experts in data analysis and interpretation. They preprocess, analyze, and extract valuable insights from data, which is vital for training and improving AI models.
  5. Machine Learning Engineer: Machine learning engineers focus on implementing and deploying machine learning models into practical applications. They work to ensure that AI models are integrated into software systems effectively.

The above five roles collectively cover key aspects of AI development — from research and model creation to data management and software integration. Depending on requirements and characteristics (such as degree of complexity), additional positions may be needed.

An expanded list of 20 roles common to AI teams follow. Here are the aforementioned 5 and 15 additional positions, listed in alphabetical order:
  1. AI DevOps Engineer: Combines development and operations skills to streamline AI model deployment. They automate tasks.
  2. AI Ethicist: Ensures that AI systems are developed and used responsibly and ethically.
  3. AI Infrastructure Engineer: Builds and maintains the infrastructure required for AI model deployment and scalability.
  4. AI Legal and Compliance Specialist: Ensures AI projects comply with legal and regulatory requirements.
  5. AI Marketing Specialist: Promotes and markets AI products and solutions to customers and stakeholders.
  6. AI Operations (AIOps) Specialist: Focuses on the operational aspects of AI, including monitoring, maintenance, and troubleshooting.
  7. AI Product Manager: Oversees the development and deployment of AI products.
  8. AI Project Manager: Leverages general and specialized hard skills and soft skills, and applies their understanding of many aspects of artificial intelligence (such as machine learning, deep learning, automation, robotics, and natural language processing) to manage the planning, execution, and delivery of AI projects. Note: Titles vary by organization; the position may be called an AI Project Manager, AI Program Manager, Agile Project Manager, Technical Project Manager, Scrum Master, or another related designation.
  9. AI QA Engineer: Ensures the quality and reliability of AI models through testing and validation.
  10. AI Research Scientist: Conducts research to develop new AI algorithms and models.
  11. AI Software Engineer: Builds and maintains software systems that incorporate AI components.
  12. AI Trainer/Annotator: Prepares and labels data for training AI models, especially for supervised learning.
  13. AI UX/UI Designer: Designs user interfaces and experiences for AI-powered applications.
  14. Computer Vision Engineer: Specializes in developing AI models for image and video analysis.
  15. Data Analyst: Examines data to uncover trends and insights that can guide AI projects.
  16. Data Engineer: Manages data pipelines and prepares data for analysis and model training.
  17. Data Scientist: Analyzes and interprets data to extract insights and inform AI models.
  18. Deep Learning Engineer: Focuses on deep neural networks and architectures.
  19. Machine Learning Engineer: Focuses on implementing and deploying machine learning models.
  20. Natural Language Processing (NLP) Engineer: Specializes in working with text and language-related AI tasks.

The composition (size and roles) of AI teams varies, based on the complexity of the AI project and other factors. On smaller teams, individuals often ‘wear multiple hats.’ On larger teams, individuals typically have more specialized roles.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Conclusion

This article covered the roles common to AI teams. Listings are not exhaustive of all potential positions. Additionally, as the field of AI continues to evolve and advance, new roles may materialize to address emerging challenges and opportunities.

(If you’d like to learn about the critical skills leveraged by successful AI teams, select
here for our popular article on the topic.)

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_References

References/Sources


All of the supplied links were functional when this article was published.


Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Cite

How to Cite This Article

Graffius, Scott M. (2023, October 9). Top 5 Roles on AI Teams. Available at:
https://scottgraffius.com/blog/files/ai-team-roles.html. DOI: 10.13140/RG.2.2.34857.57449.

black_spacer_lr_sq_v3

About Scott M. Graffius


Scott M Graffius - ScottGraffius_com Blog - v S Perry Nov 1 2023 - LR

Scott M. Graffius, PMP, SA, CSP-SM, CSP-PO, CSM, CSPO, SFE, ITIL, LSSGB is an agile project management practitioner, consultant, multi-award-winning author, and international keynote speaker. He is the Founder of Exceptional PPM and PMO Solutions™ and subsidiary Exceptional Agility™. He has generated over $1.9 billion of business value in aggregate for Global Fortune 500 businesses and other organizations he has served. Graffius and content from his books, talks, workshops, and more have been featured and used by businesses, professional associations, governments, and universities. Examples include Microsoft, Oracle, Broadcom, Cisco, Gartner, Project Management Institute, IEEE, Qantas, National Academy of Sciences, United States Department of Energy, New Zealand Ministry of Education, Yale University, Tufts University, and others. He has delighted audiences with dynamic and engaging talks and workshops on agile, project management, and technology (including AI, GameDev, and more) leadership at 87 conferences and other events across 25 countries.

His full bio is available
here.

Connect with Scott on:


follow-scott-m-graffius-on-twitter---v22122107-1000x1000-lr---sq

black_spacer_lr_sq_v3

About Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

scott_m_graffius_agile_scrum_v22123007_lr_1000x1000_sq

Shifting customer needs are common in today's marketplace. Businesses must be adaptive and responsive to change while delivering an exceptional customer experience to be competitive.

There are a variety of frameworks supporting the development of products and services, and most approaches fall into one of two broad categories: traditional or agile. Traditional practices such as waterfall engage sequential development, while agile involves iterative and incremental deliverables. Organizations are increasingly embracing agile to manage projects, and best meet their business needs of rapid response to change, fast delivery speed, and more.

With clear and easy to follow instructions, the multi award-winning
Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions book by Scott M. Graffius (Chris Hare and Colin Giffen, Technical Editors) helps the reader:

  • Implement and use the most popular agile frameworkโ€•Scrum;
  • Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
  • Support innovation and drive competitive advantage.

Hailed by Literary Titan as “the book highlights the versatility of Scrum beautifully.”

Winner of 17 first place awards.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

About
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change

scott_m_graffius_agile_transformation_lr_1000x505

Thriving in today's marketplace frequently depends on making a transformation to become more agile. Those successful in the transition enjoy faster delivery speed and ROI, higher satisfaction, continuous improvement, and additional benefits.

Based on actual events,
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change provides a quick (60-90 minute) read about a successful agile transformation at a multinational entertainment and media company, told from the author's perspective as an agile coach.

The award-winning book by
Scott M. Graffius is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

The short link for this article is:
https://bit.ly/ai-roles.

© Copyright 2023 Scott M. Graffius. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without the express written permission of Scott M. Graffius.





custom - back to main page of blog