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.

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.

• Apple (n.d.). Careers at Apple: Machine Learning and AI. Available at: https://www.apple.com/careers/us/machine-learning-and-ai.html.
• C3.ai (n.d.). Best Practices in Prototyping: Cross-Functional Teams. Available at: https://c3.ai/introduction-what-is-machine-learning/cross-functional-teams/.
• Deloitte AI Institute (2021). Building Successful AI Teams. Available at: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-ai-institute-building-successful-AI-teams.pdf.
• Gartner (2020, December 15). Staff AI Teams with Various Roles and Skills for Success. Available at: https://www.gartner.com/smarterwithgartner/how-to-staff-your-ai-team.
• General Services Administration (GSA) Centers of Excellence (CoE) (n.d.). AI Guide for Government. Available at: https://coe.gsa.gov/coe/ai-guide-for-government/understanding-ai-job-roles-career-path/.
• Google Quantum AI (n.d.). Careers. Available at: https://quantumai.google/team/careers.
• 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://www.scottgraffius.com/blog/files/successful-ai-teams.html.
• Graffius, Scott M. (2023). What Successful AI Teams Have in Common [Video]. Graffius’ talk at the 2023 Conf42 Quantum Computer Conference. Available at: https://www.youtube.com/watch?v=u2qRKFbSKYE.
• IBM (n.d.). Assemble the Team to Support a Data-Driven Project. Available at: https://www.ibm.com/garage/method/practices/culture/assemble-team-for-data-driven-project/.
• Intel (n.d.). Artificial Intelligence Teams: Careers. Available at: https://jobs.intel.com/en/search-jobs/artificial+intelligence/599/1.
• Intuit (2020, December 8). How to avoid conflicts and delays in the AI development process (Part I). Available at: https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―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.

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Tags: AI • #AI • AI Jobs • #AIJobs • AI Positions • #AIPositions • AI Research • #AIResearch • AI Research Scientist • #AIResearchScientist • AI Roles • #AIRoles • AI Software Engineer • #AISoftwareEngineer • AI team roles • #AITeamRoles • AI teams • #AITeams • AI tradecraft • Artificial Intelligence • #ArtificialIntelligence • Cognitive Computing • #CognitiveComputing • Data Engineer • #DataEngineer • Data Science • #DataScience • Data Scientist • #DataScientist • Deep Learning • #DeepLearning • Innovation • #innovation • Machine Learning • #MachineLearning • Machine Learning Engineer • #MachineLearningEngineer • ML • #ML • ML Engineer • #MLEngineer • #Science • Science • Team • #Team • Team Development • #TeamDevelopment • Teamwork • #Teamwork • Tech • #tech • Technology • #technology • Tradecraft • #Tradecraft • Technical Project Management • #technicalprojectmanagement • project management • Scott M. Graffius • #projectmanagement • #AITradecraft

Perplexity Standalone Article on AI Cites Graffius' Work

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About Scott M. Graffius

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
• 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, his second book, was named one of the best Scrum books of all time by BookAuthority.
• Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BMC Software,
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
• Johns Hopkins University,
• Journal of Neurosurgery,
• Lam Research (Semiconductors),
• Leadership Worthy,
• Life Sciences Trainers and Educators Network,
• London South Bank University,
• Microsoft,
• MSN,
• NASSCOM,
• National Academy of Sciences,
• New Zealand Government,
• Oracle,
• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• Practice Standard for Work Breakdown Structures—Second Edition.
• A Guide to the Project Management Body of Knowledge—Sixth Edition.
• The Standard for Program Management—Fourth Edition.
• The Practice Standard for Project Estimating—Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions — Deliver Products in Short Cycles with Rapid Adaptation to Change, Fast Time-to-Market, and Continuous Improvement
• 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
• Agile Protocol: The Transformation Ultimatum

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Tags: Artificial Intelligence (AI) • AI Hallucinations • Perplexity AI • Reasoning Models • AI Limitations • Scott M. Graffius • Generative AI Trends • AI Research