Software Engineering Senior Manager - X Delivery

BCG BCG · Consulting · Gurgaon, Haryana, India +1 · Technology and Engineering

Senior Engineering Manager to lead the design, development, and scaling of next-generation AI products, with a focus on Generative AI (GenAI) and Agentic AI systems. This role involves end-to-end product ownership from concept to deployment, translating business problems into scalable AI-driven solutions, and ensuring technical robustness and measurable value creation. Responsibilities include architecting E2E GenAI solutions, designing and operationalizing agentic workflows, defining and implementing evaluation frameworks for LLM outputs, and leading agile product development cycles.

What you'd actually do

  1. Additionally, you will lead the design, development, and scaling of next-generation AI products, with a focus on Generative AI (GenAI) and Agentic AI systems.
  2. Architect E2E GenAI based solutions and systems at scale leveraging LLMs, RAG, Fine tuning, skills, MCP and prompt engineering
  3. Design and operationalize agentic workflows (multi-agent systems, tool use, memory, orchestration)
  4. Define and implement evaluation frameworks for LLM outputs (quality, accuracy, latency, cost), including human-in-the-loop systems and continuous feedback loops
  5. Lead agile product development cycles, from ideation to MVP to scaled deployment

Skills

Required

  • Experience designing and deploying agent-based architectures
  • Strong understanding of AI system architecture on cloud platforms (AWS, Azure) including API integration, microservices, orchestration layers and system integrations
  • Solid understanding of the software development processes and technologies used by the development team
  • Architect E2E GenAI based solutions and systems at scale leveraging LLMs, RAG, Fine tuning, skills, MCP and prompt engineering
  • Design and operationalize agentic workflows (multi-agent systems, tool use, memory, orchestration)
  • Define and implement evaluation frameworks for LLM outputs (quality, accuracy, latency, cost), including human-in-the-loop systems and continuous feedback loops
  • Lead agile product development cycles, from ideation to MVP to scaled deployment
  • People management/employee life cycle management

Nice to have

  • Thought partner, providing problem-solving insights and sector expertise
  • Building credibility with case teams and clients
  • Compliance with data privacy, security, and Responsible AI principles

What the JD emphasized

  • enterprise grade software development as a critical enabler
  • critical to shaping BCG’s GenAI product strategy
  • designing and deploying agent-based architectures
  • AI solution design
  • Delivery and Execution
  • Product Roadmap & Development
  • Client & Stakeholder Management

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • RAG
  • Fine tuning
  • Prompt engineering
  • Multi-agent systems
  • Tool use
  • Orchestration
  • Evaluation frameworks for LLM outputs
  • Responsible AI principles