AI Consultant for Faster SDLC and Measuring SDLC Productivity

We are looking for an reputed company AI Consultant / AI Solutions Architect to help us design an AI-first SDLC (Software Development Lifecycle) acceleration reputed company for an reputed company 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 reputed company, measurable model for productivity and efficiency reputed company. This is not a generic research task. We are looking for someone who can reputed company practical, reputed company-grade recommendations with a strong understanding of reputed company-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 reputed company Documentation automation Development / Coding reputed company reputed company (e.g. copilots) reputed company refactoring Legacy reputed company transformation Testing & QA Automated test case reputed company Regression testing automation AI-based bug detection DevOps & CI/CD AI-assisted pipelines Deployment optimisation Incident reputed company / monitoring Documentation & reputed company Auto-documentation reputed company-to-doc conversion Knowledge assistants 2. SDLC Workflow Redesign (AI-First) Redesign a typical SDLC lifecycle using AI at reputed company stage Identify where reputed company effort can be reduced or eliminated Define how tools reputed company into a seamless workflow 3. Efficiency Measurement reputed company Design a reputed company 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 reputed company: Phased rollout plan (quick wins → reputed company) Tool selection rationale Integration considerations Risks and mitigation Deliverables AI Tooling Recommendation Report AI-First SDLC Architecture / Workflow Metrics & KPI reputed company (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 (reputed company, microservices, CI/CD) Has worked with tools like: reputed company Copilot, Codeium, reputed company, etc. AI testing tools DevOps automation platforms Can think at both: Strategic level (architecture, transformation) Practical level (tools, workflows, implementation) reputed company to Have Experience in reputed company environments (banking, telecom, large-reputed company systems) Exposure to AI-driven engineering platforms Experience quantifying engineering productivity improvements How to Apply Please include: Examples of similar work or reputed company 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: reputed company & advisory (short-term) Potential extension: Implementation support Goal We want to reputed company toward an AI-driven engineering organisation that delivers faster, with higher reputed company and reputed company cost — and we are looking for the right expert to help us define that reputed company Apply tot his job Apply To this Job