About the role:
As a Sr. Cloud & AI Architect – Generative AI, you will make an impact by leading the design and delivery of secure, scalable, enterprise‑grade AI solutions that leverage large language models (LLMs) to transform search, automation, and user experiences. You will be a valued member of a cross‑functional engineering team and work closely with product, data, and cloud platform stakeholders to deliver innovative, production‑ready solutions.
In this role, you will:
Lead the architecture, design, and implementation of cloud‑native, scalable enterprise solutions leveraging LLMs from providers such as Google and OpenAI
Build and deploy applications using vector databases, embeddings, and frameworks such as LangChain and LangGraph
Design and implement Agentic AI solutions and platform services that support intelligent workflows and orchestration
Develop and maintain cloud‑based solutions that integrate generative AI to enhance enterprise search and user experience
Provide technical leadership, mentorship, and architectural guidance to engineering teams
Ensure security, compliance, and data protection best practices when working with sensitive and regulated data
Troubleshoot and resolve production and performance issues using logging and monitoring tools such as Splunk and Azure Application Insights
Collaborate on system design within established architectural frameworks and support continuous improvement initiatives
Stay current with emerging trends in cloud platforms, AI technologies, and generative AI advancements
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 Washington, DC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on business and client requirements. We will always be transparent about role expectations.
What you need to have to be considered:
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
6–8+ years of professional experience designing and delivering AI‑driven or cloud‑based solutions
Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow and PyTorch
Hands‑on experience with large language models, generative AI, and natural language processing
Experience building solutions using LangChain, LangGraph, vector databases, and text embeddings
Strong experience with Microsoft Azure, including services such as:
- Azure Functions, Azure API Management, Azure Service Bus, Logic Apps
- Azure Storage, Azure Cosmos DB, Azure Cognitive Services
- Azure Data Factory, Databricks, Azure Data Lake, and caching technologies
Solid understanding of cloud infrastructure design across private and public cloud environments
Experience with logging, monitoring, and observability tools in production environments.
These will help you stand out:
Experience with Google Cloud Platform services in addition to Azure
Hands‑on experience designing and deploying Agentic AI solutions at scale
Strong architectural documentation skills and familiarity with security standards and compliance frameworks
Proven ability to communicate complex technical concepts to non‑technical stakeholders
Demonstrated leadership experience mentoring engineers and guiding technical teams
We’re excited to meet people who share our passion for innovation and can make an impact in many ways. Don’t hesitate to apply—even if you meet only the minimum requirements. We value transferable skills, diverse perspectives, and curiosity just as much as direct experience.
Salary and Other Compensation:
Applications will be accepted until June 14, 2026.
The annual salary for this position is between $ 130,000 - $ 150,000 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 us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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.
