IN_Senior Associate_Gen AI_CEDA Central_Advisory_Bangalore
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Job Description
Structured overview of role & requirementsAbout This Role
Architect and lead enterprise-scale Generative AI and Agentic AI solutions including multi-agent systems, RAG architectures, and AI workflow automation platforms.
Lead end-to-end AI product development from ideation to deployment, establishing AI engineering standards, evaluation frameworks, guardrails, and governance.
Collaborate directly with clients and cross-functional teams to define AI strategy, use cases, roadmaps, and implement scalable AI platforms using cloud-native and MLOps/LLMOps practices.
Minimum Requirements
4+ years of work experience; 5–8 years technology experience with 3+ years in GenAI/LLM engineering preferred.
Bachelor of Technology (B.E./B.Tech) degree required; MCA/MBA also mentioned.
Strong expertise in LLMs, multi-agent architectures, prompt engineering, AI governance, and tools such as LangChain, LangGraph, AutoGen, Azure OpenAI, OpenAI, Anthropic, Kubernetes, and Python software engineering.
Not explicitly mentioned: notice period, location constraints, visa sponsorship details, or mandatory certifications.
Ideal Candidate Profile
Experienced AI engineer with at least 3 years specifically in Generative AI and LLM engineering working on enterprise-scale AI products and architectures.
Strong hands-on software engineering and AI platform development skills with experience leading AI engineering teams or mentoring peers.
Comfortable collaborating directly with clients and internal teams to define strategic AI initiatives and translate them into scalable solutions using modern cloud and MLOps practices.