About the role:
As a GenAI Architect, you will make an impact by designing and delivering enterprise-scale Generative AI and Agentic AI solutions that accelerate business innovation and transform software engineering practices. You will be a valued member of our AI and Architecture team and collaborate closely with application engineering, cloud, data, security, DevOps, and business stakeholders to bring AI solutions from concept through production deployment.
In this role, you will:
- Architect and deliver scalable Generative AI, LLM, Agentic AI, and Retrieval-Augmented Generation (RAG) solutions for enterprise applications.
- Design and build AI-powered applications, intelligent agents, orchestration workflows, reusable services, APIs, and accelerators.
- Develop architecture patterns for prompt engineering, context management, grounding, guardrails, model evaluation, and structured outputs.
- Lead the adoption of AI-assisted software engineering tools such as GitHub Copilot, Claude Code, and similar platforms to improve developer productivity and software quality.
- Establish best practices for responsible AI, LLMOps, observability, security, governance, CI/CD, and production monitoring while mentoring engineering teams and driving enterprise AI standards.
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 in a client or Cognizant office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered:
- 10+ years of experience in solution architecture, application architecture, software engineering, AI/ML, or related technology disciplines.
- Hands-on experience architecting and delivering enterprise Generative AI and LLM-based applications.
- Proven experience building AI agents, copilots, RAG solutions, and LLM-powered workflows.
- Strong knowledge of LLMs, prompt engineering, embeddings, vector search, retrieval strategies, agent orchestration, and model evaluation.
- Experience with AWS cloud services, preferably Amazon Bedrock, and cloud-native application architectures.
- Expertise with APIs, microservices, containers, CI/CD pipelines, DevOps practices, and distributed systems.
- Strong understanding of AI security, responsible AI, governance, observability, and production monitoring.
- Excellent communication and stakeholder management skills with the ability to influence technical and business teams.
These will help you stand out:
- Experience with Palantir, enterprise AI platforms, vector databases, or enterprise knowledge management platforms.
- Experience designing and deploying production-grade Agentic AI systems using agent frameworks and orchestration platforms.
- Knowledge of LLMOps, MLOps, AI evaluation frameworks, observability, and AI governance practices.
- Hands-on experience with GitHub Copilot, Claude Code, or other AI-enabled developer productivity tools.
- Experience creating AI reference architectures, reusable frameworks, or enterprise AI accelerators.
- Background supporting highly regulated industries such as financial services, banking, insurance, or healthcare.
- Experience leading AI transformation initiatives and promoting AI-first software engineering practices.
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.
Salary and Other Compensation:
Applications will be accepted until November 29, 2026.
The annual salary for this position is between $117,000 - $135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
