Responsibilities
Product & Business Partnership
· Co-own problem discovery with Product/Business: translate objectives into well defined, testable problem statements, user journeys, and technical hypotheses.
· Challenge assumptions and requirements using user insights, data realities, feasibility constraints, and system impact; recommend alternatives when they better achieve outcomes.
· Define and track success metrics (e.g., adoption, time saved, conversion, accuracy/quality, latency, reliability, cost-to-serve, risk reduction) and drive iteration when targets aren’t met.
· Communicate clearly with executive, business, and engineering audiences - articulating trade-offs, decisions, and rationale.
Solution Leadership
· Lead end-to-end solution for GenAI products: APIs, services, data pipelines, orchestration, LLM integration, retrieval, tool-calling, and UI/UX touchpoints as needed.
· Make disciplined architectural trade-offs across performance, reliability, cost, extensibility, maintainability, and time-to-value.
· Design for enterprise realities: identity/access, data residency, compliance constraints, multi-environment deployments, and integration with core systems.
· Drive platform thinking prioritize reusable components (libraries, templates, shared services) over one-off builds.
Agentic & Full-Stack GenAI Applications
· Build and scale agentic GenAI applications that solve multi-step workflows on cloud platforms such as AWS and Azure.
· Define and implement robust LLM patterns (prompting, RAG, tool orchestration, validation, and evaluation).
· Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.
· Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.
· Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.
Engineering Excellence & DevOps
· Provide hands-on leadership across the SDLC: design reviews, coding standards, testing strategy, code reviews, security reviews, and operational readiness.
· Establish robust CI/CD and standardized environments for services and AI components utilizing cloud services.
· Ensure operational excellence through observability, incident management, reliability practices, and cost optimization.
Required Knowledge:
· Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Lang chain, RAG, Agentic AI workflow,
· Knowledge graph, AI red teaming libraries, LLM monitoring and evaluation.
· Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.
· Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.
· Excellent programming skills in Python and proficiency in PySpark.
· Experience in Data Bricks, AWS bedrock, Microsoft Copilot Studio and Azure ML.
· Strong leadership skills with ability to influence the thought process and drive alignment.
· Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.
· Self-motivated and highly driven individual who can thrive in ambiguous requirements.
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
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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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
