Build and deploy LLM-powered applications and agentic workflows (single & multi-agent).
Design and implement RAG pipelines , embeddings, and vector search.
Develop end-to-end ML/LLM pipelines from data ingestion to inference and monitoring.
Productionize AI systems with cost controls, observability, and guardrails .
Integrate AI solutions into enterprise workflows and platforms .
Collaborate with product, platform, and governance teams to deliver responsible AI .
Requirements
6+ years of experience in Data Engineering, ML Engineering, or Applied AI .
Hands-on experience deploying LLM-based systems in production .
Strong Python skills and experience with scalable systems.
Experience with agent frameworks ( LangChain , LlamaIndex , AutoGen , CrewAI , or similar).
Solid understanding of RAG, vector databases, embeddings , and prompt optimization.
Familiarity with MLOps , monitoring, and cost/performance trade-offs .
Experience in regulated or enterprise environments .
Exposure to AI governance, explainability, or risk controls .
Background in document intelligence or NLP-heavy systems .
Benefits
Build real AI systems , not demos.High ownership over architecture and implementation .Work on cutting-edge agentic AI with enterprise impact.Competitive compensation and strong growth opportunities.Use of AI in Hiring
Additional Information
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team.