Lead the hands-on implementation of AI platform capabilities, including LLM, RAG, and agentic AI integrations. Establish reusable engineering patterns, governance, observability, security, and performance standards for scalable cloud-native solutions. Collaborate with architects and engineering teams, contribute to solution design, development, code reviews, and production deployments, while mentoring engineers and providing technical leadership across AI initiatives.
Lead AI Platform Engineer
Experience: 12+ Years
Role Overview
We are seeking a highly experienced Lead AI
Platform Engineer to drive the engineering and implementation of AI
capabilities within a Finance AI platform. This is a hands-on technical
leadership role focused on establishing scalable AI engineering patterns,
accelerating delivery, and mentoring development teams. The ideal candidate
will combine strong cloud-native engineering expertise with practical
experience building and integrating GenAI and Agentic AI solutions into
enterprise platforms.
Key Responsibilities
- Lead the implementation of AI-enabled applications and platform
capabilities.
- Establish reusable patterns, frameworks, and best practices for
AI engineering.
- Design and oversee LLM, RAG, and Agentic AI integrations within
enterprise environments.
- Collaborate with architects and engineering teams to ensure
scalable, secure, and maintainable solutions.
- Define standards for AI observability, governance, security,
and performance.
- Mentor engineers and provide technical leadership across AI
development initiatives.
- Contribute hands-on to solution design, development, code
reviews, and production deployment.
Required Skills
- 12+ years of software engineering experience, with strong
expertise in Java and/or Python.
- Proven experience building cloud-native applications on Azure,
AWS, or GCP.
- Strong knowledge of Kubernetes, Microservices, APIs,
Event-Driven Architecture, and DevOps practices.
- Hands-on experience with LLM integration, RAG architectures, AI
orchestration frameworks, and Agentic AI solutions.
- Experience with AI frameworks and tools such as LangChain,
LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.
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