Agentic AI Technical Architect

Key Responsibilities

• Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal.
• Proven experience in developing solution across IFAO/IPO/ICO/ISCO Business Services
• Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling.
• Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks.
• Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance.
• Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability.
• Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.
• Mentor and lead a technical team and architects fostering a culture of innovation and excellence.
• Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.
• Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes.
• Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools.

Qualifications and Skills

• Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus.
• 18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies.
• Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments.
• Deep understanding of Gen AI/Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices.
• Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies.
• Excellent communication, stakeholder engagement, and team leadership skill.
• Exposure to industry-specific Gen AI/Agentic use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
• Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI.
• Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions.
• Proven experience in leading large-scale AI solution deployments and managing cross-functional teams.