Lead AI Engineer - Enterprise AI Platform
New
United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 6+ years of software engineering experience, including at least 3 years in AI/ML or enterprise AI systems.
- Required Skills
- PythonMicrosoft AzureFastAPIReactRESTful APIsLangChain
Requirements
- Bachelor’s or advanced degree in Computer Science, Software Engineering, or equivalent practical experience
- 6+ years of software engineering experience
- At least 3 years in AI/ML or enterprise AI systems
- Strong expertise in Python
- Experience with FastAPI
- Experience with REST APIs
- Experience with backend service development
- Proven experience deploying and operating solutions in Microsoft Azure
- Experience with Azure App Services, Functions, Cosmos DB, AI Search, Key Vault, and networking/security
- Hands-on experience building RAG architectures with vector search, semantic retrieval, and LLM integration
- Experience with agentic frameworks such as LangChain or LangGraph
- Familiarity with React-based front-end development and full-stack system integration
- Strong systems thinking with the ability to evaluate trade-offs, scalability, and security implications
- Experience mentoring or leading engineering teams in a technical leadership capacity
- Excellent communication skills
Responsibilities
- Lead the design and execution of end-to-end AI solutions, including agentic workflows, RAG pipelines, LLM integrations, and enterprise system connectors
- Own solution architecture decisions and progressively expand architectural responsibility across initiatives
- Define, enforce, and improve engineering standards covering code quality, security, testing, deployment, and documentation
- Architect and manage cloud-native solutions in Azure, selecting optimal services for compute, storage, security, and scalability needs
- Oversee deployment, monitoring, and operational reliability of AI services in enterprise environments
- Collaborate with IT and security stakeholders to ensure compliance with enterprise architecture and governance standards
- Contribute hands-on to backend development, APIs, automation workflows, and full-stack integrations when needed
- Lead code reviews and ensure consistent technical excellence across the development team
- Guide agile execution, including sprint planning, delivery coordination, and continuous improvement practices
- Mentor engineers through coaching, pair programming, and technical leadership
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