Operational Excellence - Head

Job Title: Senior Manager

Job Location: Bangalore

Work Model: Work from Office

Total Experience and Relevant Experience: 10-15 Years

Candidate Location: Anywhere in India

Skills- Operational excellence, transformation, program management, LLM and Lang graph

Qualification: Any graduates

Strong understanding of AI/ML with hands-on experience building LLM-powered applications using frontier models (OpenAI, Anthropic, Gemini) or open-source alternatives

Able to conceptualize and architect AI-native solutions and pipelines, from data ingestion and vector stores through to model serving and production deployment

Strong knowledge/experience designing agentic workflows using frameworks like LangGraph, CrewAI, etc including tool calling, memory, planning, and multi-agent orchestration

Familiar with integration primitives like A2A, MCP, and API function calling to connect AI systems with external tools, services, and data sources

Familiar with prompt engineering, RAG pipelines, and LLM evaluation techniques, with exposure to at least one cloud platform (AWS, Azure, GCP) for deploying AI applications

Able to rapidly prototype and iterate using agentic coding tools like Claude Code, Codex, Antigravity, and others to accelerate solution development

Curiosity-driven, staying current with fast-moving developments in LLMs and agent frameworks, with the ability to translate complex business problems into practical AI solutions

Comfortable working both collaboratively in cross-functional teams and independently as an individual contributor, taking end-to-end ownership of deliverables

Mandatory Skills: 10–15+ years of experience in program management, enterprise technology transformation, and large-scale cross-functional program delivery, with strong expertise in stakeholder management, executive communication, governance, reporting, AI adoption, and enterprise technology strategy.

Good to Have Skills: Hands-on experience building LLM-powered applications using OpenAI, Anthropic, Gemini, or open-source models; agentic AI frameworks such as LangGraph and CrewAI; RAG pipelines, prompt engineering, vector databases, MCP/A2A, LLM evaluation, cloud-based AI deployment, and agentic coding tools such as Claude Code and Codex.