Tech Lead, AI Engineering
Core
Design, develop, and maintain scalable, secure, cloud-based AI applications focusing on Agentic AI, RAG, and enterprise LLM integration.
Role type
Tech Lead, AI Engineering
Builds
Enterprise-grade AI-driven cloud applications and intelligent decisioning systems for the financial industry.
Domain
Financial services / Banking / Cloud-native AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, NodeJS, Java, AI/LLM frameworks (Semantic Kernel, MAF, LangChain, LlamaIndex, FastAPI), Azure CDKTF, API development, microservices, distributed systems, Agentic AI frameworks, RAG design patterns, vector databases, LLM fundamentals (transformers, embeddings, tokenization), model evaluation, observability, AI guardrails, cloud security, data privacy, AI governance
Preferred skills
Experience in financial services/banking/wealth management, leading enterprise-scale AI transformation initiatives, Microsoft Azure AI Engineer/Solutions Architect certification, AWS Machine Learning/Solutions Architect certification
Technologies
Azure, AWS, CDKTF, Semantic Kernel, MAF, LangChain, LlamaIndex, FastAPI
Responsibilities
Design and implement Agentic AI systems with multi-agent orchestration and autonomous workflows; Build and optimize RAG pipelines including embeddings and retrieval strategies; Integrate data from multiple sources while addressing security and governance risks; Maintain AI applications and infrastructure for scalability and reliability; Develop Context engineering, Prompt engineering strategies, and model optimization techniques; Establish CI/CD pipelines and MLOps/LLMOps practices; Provide technical leadership, mentorship, and delivery guidance to engineering teams; Translate business requirements into AI-enabled technical solutions; Apply judgment to resolve complex technical issues regarding LLM performance and guardrails
Seniority
Senior, hands-on IC with leadership responsibilities
