IN_Senior Associate_Gen AI_CEDA Central_Advisory_Bangalore
Core
Architect and lead enterprise-scale GenAI and Agentic AI solutions, designing multi-agent systems, RAG architectures, and AI copilots to drive client strategy and operational optimization.
Role type
Senior IC GenAI Solutions Architect
Builds
Enterprise AI platforms, multi-agent systems, AI copilots, and workflow automation solutions
Domain
Generative AI, Agentic AI, Enterprise Operations
Deliverable
production ML models | product features
Required skills
LLMs and foundation models, Agentic AI, multi-agent architectures, advanced RAG frameworks, prompt engineering, AI evaluation frameworks, AI governance, vector databases, Python, software engineering
Preferred skills
AI product management, solution architecture, multimodal AI, document intelligence, enterprise search
Technologies
LangChain, LangGraph, AutoGen, CrewAI, Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Azure, AWS, GCP, MLflow, Databricks, Fabric, Kubernetes
Responsibilities
Architect and lead enterprise-scale GenAI and Agentic AI solutions; Design and implement multi-agent systems, RAG architectures, AI copilots, and AI workflow automation platforms; Lead end-to-end AI product development from ideation to production deployment; Establish AI engineering standards, evaluation frameworks, guardrails, and governance; Build scalable AI platforms leveraging cloud-native services and modern MLOps/LLMOps practices; Guide engineering teams through architecture, design reviews, and technical mentoring; Work directly with clients to define AI strategy, use cases, roadmaps, and implementation plans
Seniority
Senior, hands-on IC
