Technical Architect, Gen AI for Software Development Life Cycle (SDLC) - Dminds Solutions Inc. - Dallas, TX, US | Dice.com

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Technical Architect, Gen AI for Software Development Life Cycle (SDLC)

Dallas, TX, US • Posted 9 hours ago • Updated 9 hours ago

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Depends on Experience

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Job Details

Skills

Gen AI
Architect
Claude Code
Kiro
Windsurf

Summary

Job Title: Technical Architect, Gen AI for Software Development Life Cycle (SDLC)

Location: Santa Clara/ New Jersey/ Dallas

Duration: 12+ Months Contracts

The position seeks a software engineering leader who has used AI tools to improve development productivity and software quality, not someone who builds AI models for scientific or domain-specific applications. Please explain your work in this area

Summary:

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 evolutionizing 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10513378
Position Id: 8828748
Posted 9 hours ago

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