Technical Architect, AI driven SDLC

Job DescriptionTechnical Architect, Gen AI for Software Development Life Cycle (SDLC)We are looking for an innovative Technical Architect to spearhead the integration of Generative AI into our Software Development Life Cycle (SDLC). You will be the go-to expert for revolutionising how we build software, focusing on enhancing productivity and automating tasks through cutting-edge AI solutions. This role is dual-facing, requiring you to both enhance our internal capabilities and act as a trusted advisor to our customers.Key ResponsibilitiesClient Consulting & Advisory: Act as a subject matter expert for external customers, providing strategic consulting, assessments, and thought leadership on integrating Gen AI into their unique SDLC.Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps, conduct hands-on workshops, and guide their engineering teams through the transformation.Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges. Skills and QualificationsCore Software Engineering Excellence: 8-12 years of deep, hands-on experience in software engineering. This must include proven expertise as a Technical Lead or Architect with a strong background in:Application Architecture & Design PatternsProfessional Coding (in languages like Python, Java, C#, or similar)Automated Testing (Unit, Integration, E2E)DevOps & CI/CD PipelinesExpertise in AI-Driven Development: Demonstrated, hands-on mastery of modern, AI-driven development tools. The ideal candidate lives and breathes these tools and understands their advanced capabilities, including:Agent-mode and spec-driven developmentExperience with tools like Claude Code, Kiro, Windsurf, or other, similar advanced AI coding assistants.Deep understanding of the entire SDLC and agile methodologies.Proven experience in a customer-facing technical role (e.g., Solutions Architect, Technical Consultant, Pre-Sales) is highly desired.Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.Excellent communication and presentation skills, with the ability to engage, influence, and build trust with both internal technical teams and external customer stakeholders.RoleKey ResponsibilitiesClient Consulting & Advisory: Act as a subject matter expert for external customers, providing strategic consulting, assessments, and thought leadership on integrating Gen AI into their unique SDLC.Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps, conduct hands-on workshops, and guide their engineering teams through the transformation.Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.