AI Consultant for Faster SDLC and Measuring SDLC Productivity

We are looking for an experienced AI Consultant / AI Solutions Architect to help us design an AI-first SDLC (Software Development Lifecycle) acceleration strategy for an enterprise environment. The objective is to identify and propose the best AI tools, frameworks, and workflows across the entire SDLC — from business analysis through to deployment — and define a clear, measurable model for productivity and efficiency gains. This is not a generic research task. We are looking for someone who can provide practical, enterprise-grade recommendations with a strong understanding of real-world implementation. Scope of Work You will be responsible for: 1. AI Tooling Landscape for SDLC Recommend best-in-class AI tools across: Business Analysis Requirements gathering User story generation Documentation automation Development / Coding Code generation (e.g. copilots) Code refactoring Legacy code transformation Testing & QA Automated test case generation Regression testing automation AI-based bug detection DevOps & CI/CD AI-assisted pipelines Deployment optimisation Incident prediction / monitoring Documentation & Knowledge Management Auto-documentation Code-to-doc conversion Knowledge assistants 2. SDLC Workflow Redesign (AI-First) Redesign a typical SDLC lifecycle using AI at each stage Identify where manual effort can be reduced or eliminated Define how tools integrate into a seamless workflow 3. Efficiency Measurement Framework Design a clear model to measure improvement, including: Baseline vs post-AI metrics Developer productivity (velocity, cycle time) Test coverage & defect leakage Deployment frequency & failure rates Cost per feature / release We want quantifiable ROI, not just qualitative benefits. 4. Implementation Roadmap Provide: Phased rollout plan (quick wins → scale) Tool selection rationale Integration considerations Risks and mitigation Deliverables AI Tooling Recommendation Report AI-First SDLC Architecture / Workflow Metrics & KPI Framework (with measurement model) Implementation Roadmap (phased approach) Ideal Candidate We are looking for someone who: Has hands-on experience with AI tools in SDLC (not just theoretical knowledge) Understands modern engineering environments (cloud, microservices, CI/CD) Has worked with tools like: GitHub Copilot, Codeium, Cursor, etc. AI testing tools DevOps automation platforms Can think at both: Strategic level (architecture, transformation) Practical level (tools, workflows, implementation) Nice to Have Experience in enterprise environments (banking, telecom, large-scale systems) Exposure to AI-driven engineering platforms Experience quantifying engineering productivity improvements How to Apply Please include: Examples of similar work or projects Your recommended top 5 AI tools for SDLC (and why) How you would measure ROI from AI in engineering Your approach to integrating AI into existing SDLC workflows Engagement Type Initial: Strategy & advisory (short-term) Potential extension: Implementation support Goal We want to move toward an AI-driven engineering organisation that delivers faster, with higher quality and lower cost — and we are looking for the right expert to help us define that journey Apply tot his job Apply To this Job