AI Architect with SDLC

Job Title : AI Architect with SDLC

Location : Dallas, TX

Duration : Full Time

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 Responsibilities

• Client 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 Qualifications

• Core 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 Patterns
• Professional Coding (in languages like Python, Java, C#, or similar)
• Automated Testing (Unit, Integration, E2E)
• DevOps & CI/CD Pipelines
• Expertise 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 development
• Experience 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.

Roles & Responsibilities

Key Responsibilities

• Client 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.