Back
Tier-1 brand and Bangalore metro raise competition, balanced by seniority and niche GenAI specialization.
Highly specialized GenAI and agentic AI expertise reduces cross-industry transferability.
Explicit 12+ years and mandatory GenAI, LLM, MLOps, and cloud skills create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and deployment of Generative AI and Agentic AI solutions across industries, focusing on architecting modular and scalable AI systems using LLMs and autonomous agents.
Translate business problems into AI use cases and technical blueprints, and collaborate with engineering, product, and business teams to deliver AI-powered solutions.
Drive client workshops, proof of concepts, strategic AI transformation roadmaps, ensure ethical AI practices, and mentor teams transitioning to GenAI paradigms.
12+ years of relevant experience with at least 3–5 years in GenAI/Agentic AI and client-facing roles.
Bachelor's degree in Engineering (BE, B.Tech), ME, M.Tech, MBA, or MCA with 60% above.
Deep expertise in Generative AI, Agentic AI, LLM orchestration, hands-on with LangChain, LlamaIndex, OpenAI, Anthropic or similar platforms.
Strong foundation in Python, ML Ops, vector databases, embedding models, and experience with cloud-native AI stacks like Azure AI, GCP Vertex AI, AWS Bedrock.
Proven ability to lead client-facing AI engagements translating business needs into AI solutions and driving AI transformation across industries.
Experience with AI product development, agentic workflows, multi-agent systems, and practice building including proposal development and IP creation.
Thought leadership in GenAI and autonomous systems with capacity to simplify complex AI constructs for business stakeholders and manage multiple stakeholders under tight timelines.