VP, Applications Development - Tech Lead (Java, UI, PL-SQL & Agentic AI)
Core
Architecting and building scalable Generative AI and agentic AI solutions, including RAG systems, knowledge graphs, and multi-agent orchestration, to enhance automation and operational efficiency on the enterprise Controls Technology platform.
Role type
Senior Generative AI Developer (Agentic AI & RAG)
Builds
Production-ready agentic workflows, RAG pipelines, knowledge graph architectures, and multi-agent systems.
Domain
Financial Services / Generative AI & Agentic AI
Deliverable
production ML models
Required skills
Generative AI concepts (LLMs, embeddings, context management), Prompt & Context Engineering, RAG systems (hybrid search, multi-vector retrieval), Knowledge Graphs & Graph RAG, Agentic AI frameworks (Google ADK, LangGraph, CrewAI), Multi-agent orchestration patterns, Agent interoperability protocols (MCP, A2A), Vector databases, Python, Cloud infrastructure (AWS), Containerization (Docker, Kubernetes)
Preferred skills
NLP (NER, dependency parsing), Agent observability (OpenTelemetry), CI/CD pipelines
Technologies
Google Agent Development Kit (ADK), LangGraph, CrewAI, Neo4j, ArangoDB, LangChain, LlamaIndex, OpenAI, Gemini, Claude, Docker, Kubernetes, AWS
Responsibilities
Design and implement generative and agentic AI solutions; Architect advanced context engineering strategies; Build and optimize RAG systems; Design knowledge graphs and Graph RAG architectures; Architect agentic workflows and multi-agent systems; Integrate agents with tools and data via MCP and A2A protocols; Mentor junior team members.
Seniority
Senior, hands-on IC
