What's the role?:
Define and execute the enterprise AI strategy and roadmap, with a robust emphasis on Generative AI, agentic AI, and AI-enabled business and operational transformation.
Design and implement agent-based systems using up-to-date orchestration and coordination frameworks, including multi-agent workflows, tool use, memory patterns, guardrails, and human-in-the-loop controls.
Drive adoption of core AI patterns and components such as prompt engineering, RAG, vector databases, embeddings, model routing, evaluation pipelines, and AI governance controls.
Establish reusable AI engineering standards, reference architectures, development frameworks, security controls, and best practices for scalable enterprise adoption.
Partner with engineering, platform, data, cloud, security, and business teams to identify and deliver high-value AI use cases with measurable outcomes.
Evaluate emerging AI technologies, models, frameworks, and platforms, and recommend scalable adoption strategies aligned to enterprise architecture principles.




Define AI lifecycle processes covering experimentation, prototyping, testing, evaluation, deployment, monitoring, risk management, and continuous improvement.
Ensure responsible AI practices across solution design, including security, privacy, compliance, explainability, traceability, and model governance.
Lead architecture and design reviews for AI solutions, ensuring performance, reliability, interoperability, and scalability across enterprise environments.
Influence senior stakeholders on enterprise AI strategy and transformation priorities.
Translate complex AI concepts into executive-ready business recommendations, implementation roadmaps, and investment cases.
Contribute domain insight into IT Operations use cases such as incident intelligence, observability, automation, service desk augmentation, and operational analytics where relevant; this is a preferred but not primary expectation for the role.

Who are you?:

📌 Sr Manager Bengaluru
🏢 HERE Technologies
📍 Bengaluru