AI SDLC – Manager

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: 10-15 years Explore an Exciting Career at Accenture Do you believe software engineering is entering a new AI-native era? Are you a problem solver who enjoys helping CIOs, CTOs, CDOs and engineering leaders rethink how software is imagined, designed, built, tested, secured and delivered using AI? Are you passionate about being part of an inclusive, diverse and collaborative culture? If yes, this is the right opportunity for you. Join Accenture Technology Strategy & Transformation practice and work with global clients to shape the next frontier of enterprise software delivery using AI. Working with C-suite stakeholders, you will help enterprises adopt AI-native software delivery at scale and turn transformation ambition into measurable outcomes. You will help enterprises define AI-powered software delivery transformation strategies and translate them into executable approaches, define target state SDLC, create platform and tooling strategy and architecture, engineering productivity measures, delivery operating model change and measurable value realization. The Practice – A Brief Sketch Technology Strategy & Transformation Practice is a part of Accenture Strategy and focuses on our clients’ most strategic priorities. We help clients achieve growth and efficiency through engineering transformation initiatives, aimed at making software delivery powered by AI to bring productivity and quality uplift, resulting in larger enterprise value delivery. We provide you with a strong learning environment, deep-rooted in Technology Strategy, Software Engineering Transformation and AI-led Reinvention, where you will work with key global clients to shape the next evolution of enterprise software delivery. As part of this high-performing team, you will help organizations move from experimentation with AI coding tools to enterprise-wide AI Native SDLC transformation. These are some of the initiatives you will support: AI Native SDLC Strategy and Roadmap: Assess current SDLC maturity, AI readiness, engineering productivity, application landscape assessment for AI driven delivery, toolchain landscape and delivery bottlenecks; define target-state AI Native SDLC vision and pragmatic adoption roadmap Engineering Productivity and AI Readiness Diagnosis: Diagnose developer experience, flow of work, quality gates, release throughput, automation levels, technology debt, test coverage, knowledge fragmentation and value leakage across large engineering organizations Use Case Identification and Prioritization: Identify and prioritize AI and agentic use cases across requirements, backlog, architecture, design, coding, refactoring, testing, code review, security, release, documentation and run/operate interfaces; segment applications and teams where adoption makes business and technology sense AI Native SDLC Platform and Tooling Strategy & Architecture: Define architecture principles, reference architecture and tooling strategy across IDEs, repositories, CI/CD, DevSecOps, testing, knowledge systems, model gateways, context layer, RAG, agent orchestration, MCP, observability and governance Value Case and Benefits Framework: Define productivity, velocity, quality, cost, risk and developer experience outcomes; establish measurement model, value case,