Key Responsibilities​

​AI Native SDLC Strategy and Advisory

• Lead current-state SDLC maturity, AI readiness and engineering productivity assessments across large engineering organizations

• Define target-state AI Native SDLC ambition and strategy across all stages of fotware delivery and software maintenance

• Conduct application landscape assessment to Identify applications, products and teams best suited for AI-native and agentic SDLC adoption based on value, feasibility, risk and readiness

• Identify, structure and prioritize AI and agentic use cases across the software delivery lifecycle, linking them to engineering productivity, quality and measurable outcomes

• Facilitate senior stakeholder alignment on the adoption priorities, transformation choices and approach

Target-State SDLC Design, Architecture and Tooling Strategy

• Design AI-Native delivery workflows and agentic patterns across all stages of SDLC

• Define AI Native SDLC platform reference architecture across ALM, IDEs, repositories, CI/CD, DevSecOps, testing, observability, knowledge systems, model gateways, RAG/context layer, MCP/tool interfaces and guardrails with responsible AI frameworks pre-built in the design

• Advise clients on AI platform, toolchain and vendor strategy, including integration approach, security, data/IP considerations, cost and developer adoption

• Define architecture principles, reusable patterns, guardrails, governance constructs and agentic evaluation criteria required to scale AI-Native engineering responsibly

• Work with architecture, platform, security and engineering teams to connect strategy with implementation realities while maintaining an advisory and transformation-planning focus

Value Realization, Productivity Measurement and Engineering Operating Model

• Build AI Native SDLC value cases covering various dimensions across productivity, quality, risk, experience and cost

• Define benefits framework and productivity measurement approach using baselines, KPIs, telemetry, DORA, SPACE, flow metrics, adoption metrics and executive reporting

• Define AI value economics and cost governance across licensing, token consumption, model usage, chargeback/showback, cost guardrails and benefit realization

• Design target engineering operating model covering product/platform ownership, AI SDLC center of excellence, roles and responsibilities, governance forums, enablement and change adoption

• Translate target-state architecture and operating model into a phased transformation roadmap covering quick wins, foundational enablers, pilots, scaling waves and governance milestones

Executive Advisory and Market Development

• Lead CxO-level conversations on AI Native SDLC strategy, engineering productivity, platform choices, tooling strategy, value realization, governance and operating model change

• Create expert content, PoVs and use executive storytelling, presentation and communication skills for C-level discussions

• Support strategic pursuits, client account development and growth initiatives through differentiated advisory propositions, points of view, solution narratives and proposal leadership.

• Collaborate across different capabilities and teams to shape holistic client solutions and connect AI Native SDLC transformation with broader enterprise reinvention priorities

• Develop thought leadership, market perspectives, offering assets and reusable modernization frameworks

• Lead and mentor teams on AI, modern engineering, software delivery and engineering productivity measures

Technology Strategy and Transformation – Senior Manager – AI driven SDLC strategy

Join our team in Technology Strategy & Transformation for an exciting career opportunity to help our most strategic clients realize exceptional value from AI in software delivery, a boardroom priority for organizations globally and be at the forefront of shaping how enterprises adopt AI-native software engineering

Practice: Technology Strategy & Transformation, Global Network
Areas of Work: AI Native SDLC Strategy, Agentic AI Architecture, Agentic Software Engineering, Engineering Productivity, AI Platform & Tooling Strategy
Level: Senior Manager
Location: Bangalore/Gurugram/Mumbai/Pune/Chennai/Kolkata/Hyderabad
Years of Exp: 15+ years