Agentic AI Engineer

Job Description

Agentic AI Engineer

• 12 years of software engineering experience including 5 years designing and building enterprise AI/ML platforms.
• Proven experience developing and delivering large-scale AI solutions Agentic AI systems AI platforms or multi-agent frameworks in enterprise environments.
• Deep understanding of the Agentic AI ecosystem including agent orchestration planning reasoning tool calling memory management retrieval systems and autonomous workflows.
• Hands-on expertise building AI applications using frameworks and platforms such as Google ADK LangGraph LangChain Semantic Kernel CrewAI AutoGen or similar agentic frameworks.
• Strong experience designing scalable orchestration layers tool libraries context management frameworks observability solutions and governance controls for AI systems.
• Expertise in Retrieval-Augmented Generation (RAG) vector databases embeddings enterprise knowledge systems and document intelligence platforms.
• Deep understanding of AI observability monitoring evaluation frameworks model governance security and responsible AI principles.
• Strong communication and stakeholder management skills with demonstrated ability to effectively communicate with and influence senior technology leaders.

• Working knowledge of Glean or similar enterprise document intelligence and knowledge management platforms.
• Experience developing enterprise AI accelerators reusable frameworks and agentic platforms supporting large-scale business adoption.
• Experience with multi-cloud AI ecosystems including Google Cloud Azure AI AWS AI and OpenAI-based solutions.
• Exposure to AI governance model risk management compliance privacy and enterprise security controls.

• Evolve agent frameworks into a scalable extensible and enterprise-grade agentic platform aligned with future business needs.
• Define and own the end-to-end development covering orchestration tool integration memory management context management document intelligence observability security and governance.
• Provide technical leadership and hands-on engineering guidance across all components of the Agentic AI platform.
• Design reusable services frameworks and platform capabilities to accelerate onboarding of new AI use cases and business domains.
• Establish development standards reference patterns engineering best practices and strategic direction for platform evolution.
• Evaluate emerging Agentic AI technologies frameworks and industry trends recommending strategic enhancements to the platform.
• Mentor engineering teams and serve as a thought leader for enterprise Agentic AI strategy and platform evolution.