Qualifications / Job Responsibilities :

AVP:

• 7-10 years of overall experience with a minimum of 2.5 years of experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions
• Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
• Define and drive technical strategy for AI projects, including making key decisions on architecture, frameworks, and tools. This includes evaluating different agentic architectures and evolving industry practices to select the optimal approach.
• Lead the design and implementation of agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
• Ensure solutions meet stringent compliance, security, and performance management standards.

VP:

• 11-14 years of overall experience with a minimum of 3 years leading the development of production-ready Gen AI RAG or Agent-based solutions.
• Lead the architecture, design, and development of mission-critical, production-grade Generative AI applications and Agentic solutions, ensuring they are scalable, reliable, and secure.
• Define and own the technical roadmap for AI platforms, making critical decisions on architecture, technology stacks, and long-term evolution.
• Drive the strategy for designing and redesigning business processes with Agentic solutions, focusing on advanced agent architecture, memory management, hallucination control, and reinforcement learning-based feedback loops.
• Champion and enforce best practices for compliance, security, MLOps, and Model Governance across all AI projects.

SVP :

• 14+ years of extensive software architecture and engineering experience, with a significant focus on AI/ML.
• Define and own the long-term architectural vision and strategy for Generative AI and Agentic systems across the enterprise, ensuring alignment with business goals and future growth.
• Lead the research, design, and prototyping of next-generation AI platforms and "first-of-a-kind" capabilities, establishing new patterns for the organization.
• Act as the lead architect for the most complex and critical AI initiatives, ensuring solutions are built for planetary scale, with the highest standards of reliability, security, and performance.
• Set the technical standards for AI development, including frameworks, tools, MLOps, and Model Governance, influencing teams across the organization.

Education:

• Bachelor's/University degree; Master's degree or PhD preferred in Computer Science, AI, Engineering, or a related quantitative field.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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