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Cognizant • Charlotte, North Carolina, United States
Role & seniority: QA Architect – Gen AI; senior-level (10+ years tech exp, GenAI focus in STLC)
Stack/tools: Gen AI for software testing; prompt engineering frameworks; LangChain; PyTorch; LLM optimization; architecture design; model governance; responsible AI practices
Define and implement Gen AI solutions across the Software Testing Life Cycle (STLC)
Build/test Gen AI-assisted UI/API code generation and GenAI-driven test data mining/optimization frameworks
Design and fine-tune architectures, pipelines, and prompt engineering frameworks; lead Gen AI adoption initiatives (roadmaps, vendor/platform evaluations)
10+ years of technology experience with GenAI in STLC
Strong prompt engineering, AI-assisted automation, and architecture design
Model governance and responsible AI practices
Hands-on experience with LangChain, PyTorch, and LLM optimization
Proven cross-functional collaboration and mentoring in GenAI best practices
GenAI adoption strategies/roadmaps; transformer architectures; multimodal AI; advanced LLM training
PoCs and enterprise-grade deployments; AI safety and compliance knowledge
Location & work type: Hybrid work model; Charlotte, NC; 3 days onsite per week; US work authorization required (no visa sponsorship now or in the future)
About The Role
As a QA Architect: Gen AI, you will make an impact by driving the design, development, and implementation of Generative AI solutions across the software testing lifecycle. You will be a valued member of Cognizant’s Quality Engineering & Assurance (QEA) team and work collaboratively with cross-functional stakeholders, including data scientists, ML engineers, and product managers.
In This Role, You Will
Define and implement Gen AI solutions within the Software Testing Life Cycle (STLC). Build and test solutions for automated UI/API code generation using Gen AI-assisted coding. Develop GenAI-driven test data mining and optimization frameworks. Design and fine-tune architectures, pipelines, and prompt engineering frameworks. Lead strategic GenAI adoption initiatives, including roadmap definition and vendor/platform evaluations.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week onsite in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered
10+ years of technology experience with expertise in GenAI solutions for STLC. Strong knowledge of prompt engineering frameworks and AI-assisted automation. Experience in architecture design, model governance, and responsible AI practices. Hands-on experience with frameworks like LangChain, PyTorch, and LLM optimization. Proven ability to collaborate with cross-functional teams and mentor in GenAI best practices.
These will help you stand out
Experience in defining GenAI adoption strategies and roadmaps. Familiarity with transformer architectures, multimodal AI, and advanced LLM training. Strong innovation mindset with a track record of successful PoCs and enterprise-grade deployments. Knowledge of AI safety measures and compliance frameworks. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. Please note, this role is not able to offer visa transfer or sponsorship now or in the future
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Benefits