Building a successful Generative AI team extends beyond mere technical proficiency. Generative AI has profound implications in the way businesses operate, the way employees work, and the way customers are served. It is then critical to take a more comprehensive approach in building the Generative AI team, to ensure that the team collectively has all the skills needed to maximize the technology while building human-centric solutions, delivering business value, and managing risks.
There are seven critical members in a Generative AI team – each bringing unique and crucial value to drive Generative AI from a mere business case to high-impact business outcomes.
1 |
Business Architect |
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Why do we need the role? The Business Architect serves as the bridge between technical innovation and business success. Their strategic alignment ensures that Generative AI solutions are not just technically sound but also offer tangible value to the organization. What is needed for the role to succeed? A nuanced understanding of business objectives and AI capabilities. Success hinges on the ability to align AI projects strategically, ensuring they contribute directly to the organization’s overall goals. |
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2 |
AI/ML Architect |
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Why do we need the role? The AI/ML Architect is the technical backbone of the team. Their expertise is critical for creating innovative and effective generative models, forming the basis for successful adoption of AI technologies. What is needed for the role to succeed? Continuous technical proficiency and staying abreast of advancements. Success lies in applying cutting-edge solutions that push the boundaries of Generative AI capabilities. |
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3 |
Project Manager |
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Why do we need the role? The Project Manager ensures that the development process stays on track, fostering a collaborative environment. Their role is pivotal in delivering Generative AI solutions within stipulated timelines, crucial for widespread adoption. What is needed for the role to succeed? Effective communication and organizational prowess. Success is achieved through the ability to keep the team focused, motivated, and aligned with project goals throughout the development cycle. |
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4 |
Change Manager |
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Why do we need the role? Change Managers play a crucial role in overcoming resistance to new technologies. Their success directly impacts how smoothly the organization adopts and incorporates Generative AI into its operations. What is needed for the role to succeed? Adaptability and empathy. Success is dependent on the ability to guide the team through transitions, addressing concerns, and ensuring a smooth integration of Generative AI into existing workflows. |
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5 |
Full-stack Engineers |
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Why do we need the role? Full-stack Engineers are instrumental in ensuring the practical implementation of Generative AI solutions. Their success ensures that AI seamlessly integrates into existing systems, enhancing usability and adoption. What is needed for the role to succeed? Versatility in frontend and backend development. Success involves seamlessly integrating AI components while prioritizing a positive user experience. |
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6 |
Security/Regulatory Specialist |
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Why do we need the role? In an era of increasing data scrutiny, Security/Regulatory Specialists ensure that Generative AI solutions adhere to the highest standards, fostering trust and confidence in their adoption. What is needed for the role to succeed? In-depth knowledge of data security and regulatory standards. Success involves proactive risk management, compliance, and upholding ethical practices in AI development. |
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7 |
Data Scientists |
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Why do we need the role? Data Scientists are the driving force behind the generative capabilities of AI. Their success directly influences the effectiveness and innovation potential of Generative AI, making them indispensable in the adoption journey. What is needed for the role to succeed? Strong analytical skills and a curious mindset. Success lies in uncovering meaningful insights, refining models, and driving innovation in problem-solving. |
The AES Group has designed and mobilized teams in our Generative AI Factory with an optimal mix of these seven critical roles. The success factors of each role are intricately linked to the unique contributions they bring to the table. The collaborative efforts of all members within a Generative AI team, referred to as an expert pod, not only ensure the technical excellence of Generative AI but also facilitate its seamless adoption, thereby propelling organizations into a new era of innovation and efficiency.
Connect us at [email protected] to learn more about building a high-performing Generative AI team and utilizing our expert pods from our Generative AI factory.