Lead AI Engineer
Job Location:
Monthly Salary:
Experience Required:
Posted on:
4 hours ago
Posted on:
Vacancies:
1 Vacancy
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Job Summary
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.
Required Skills:
.Net API react
