AI Engineer

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 Salary Range

• $64,000 - $115,000 a year #LI-CM2