Expert Senior Manager, Engineering Excellence

Tech Economy is consistently recognized as one of the world’s best places to work, focusing on creating an inclusive environment for exceptional talent. The Expert Senior Manager, Engineering Excellence will lead software development efforts, mentor engineers, and drive AI-led transformations across various industries.

Responsibilities:

• Drive client improvements in AI-assisted or AI-led maturity across people, process, and technology
• Mentor and coach developers to improve productivity through adoption of AI tools (Claude Code, Cursor, Codex etc.)
• Lead in designing, developing, and documenting AI applications aligned to business outcomes
• Develop prompt engineering strategies, implement retrieval-augmented generation (RAG) pipelines, and optimize model inference latency and cost
• Develop and champion modern software development best practices and concepts to technical audience and business stakeholders
• Lead cross functional teams to develop and deploy production quality code for clients
• Lead full software development life cycle execution including architecture design, writing documentation and unit/integration tests, identifying issues and resolution, writing clean code, conducting code reviews, and mentoring other Engineers
• Provide technical guidance to external clients and internal stakeholders in Bain (80%):
• Drive AI-led or AI-assisted transformation to improve productivity and quality across the PDLC
• Explore new innovations in AI and software development to further improve productivity and modularity
• Mentor and coach engineering teams on technology stack best practices and operational models to raise their software engineering capabilities
• Lead ideation processes, alongside consulting and client colleagues, to bring innovative solutions to problems
• Drive engagements that help to understand current state of clients’ architecture, micro-services, build processes, and security needs
• Lead in a collaborative manner with clients’ technical teams to define technical approaches to implementing designed solutions, including new product architecture, data flows and integration strategies, and build processes
• Scope, architect, design, develop, build, and release robust and scalable applications (20%):
• Translate business requirements into technical requirements and implementation details
• Lead development of complex systems that are extensible, easy to understand, and self-maintaining
• Design integrations with third-party systems to enable use cases that power business solutions
• Work closely with product and design to create modern AI systems
• Architect and design end-to-end AI agent systems, including reasoning loops, planning mechanisms, and tool orchestration frameworks
• Develop and optimize LLM-powered applications using advanced prompting, structured outputs, and model routing strategies
• Design and implement multi-agent architectures (planner, executor, verifier, critic patterns)
• Architect and build scalable retrieval-augmented generation (RAG) pipelines with optimized embedding and retrieval strategies