AI Engineer / Lead AI Engineer

Overview:

Job Description

Must Have Technical/Functional Skills:

• 5+ years of experience in AI/ML.

• 1+ years of experience building Agentic AI solutions.

• Strong expertise in Python and modern software engineering practices.

• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.

• Experience architecting and deploying enterprise AI applications.

• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.

• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.

• Proven ability to lead technical initiatives and drive solution delivery.

• Excellent communication, stakeholder management, and problem-solving skills.

• Experience with enterprise data integration and AI application deployment.

Roles & Responsibilities

• Lead architecture and solution design for Agentic AI applications.

• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.

• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).

• Guide engineering teams and establish development best practices.

• Develop enterprise integrations, APIs, and event-driven AI services.

• Drive deployment, operationalization, and scalability of AI applications.

• Coordinate with platform, security, data, and product teams to ensure successful delivery.

• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Good-to-Have Skills

• Databricks

• MLOps / LLMOps

• Enterprise AI Governance and Security

• AI Monitoring and Observability

• Enterprise AI Architecture and Strategy