About the Role
We are looking for a SR AI Engineer to design, build, and scale Generative AI solutions that automate processes and power conversational assistants, including Retrieval‑Augmented Generation (RAG) and agent‑based systems.
In this role, you will work end‑to‑end, from discovery and prototyping to production deployment and operation with real users. You will architect cloud‑native solutions on Azure and/or AWS, integrate with enterprise platforms, and balance quality, safety, cost, and performance. This is a hands‑on senior role with the opportunity to lead technical initiatives and shape best practices across projects.
Key Responsibilities
- Engage directly with client stakeholders to identify, refine, and prioritize Generative AI use cases.
- Act as a technical lead, defining architecture, quality standards, and best practices for AI solutions.
- Architect robust GenAI solutions on Azure and/or AWS, including LLM orchestration, RAG, API integrations, security, observability, and cost control.
- Design and deliver conversational assistants and copilots, covering prompt design, tool calling, grounding strategies, guardrails, and memory management.
- Implement and optimize RAG pipelines: ingestion, chunking, embeddings, vector stores, retrieval evaluation, reranking, caching, and latency optimization.
- Evaluate and harden agentic systems using quality, robustness, and groundedness metrics.
- Own LLMOps/MLOps practices in production environments, including containerization, monitoring, and performance tracking.
Required Skills & Qualifications
- Bachelor’s, Master’s, or PhD in Machine Learning, Computer Science, Engineering, Mathematics, or related fields.
- Proven experience in senior AI engineering roles with strong exposure to Generative AI.
- Extensive experience designing and scaling GenAI applications, including RAG architectures and autonomous or agent‑based systems.
- Strong cloud experience on Azure and/or AWS (IAM, networking, compute, storage, monitoring, security, cost management).
- Solid software engineering skills in Python, including API integration, testing, code reviews, and documentation.
- Strong product and business mindset, able to define KPIs and clearly communicate impact to non‑technical stakeholders.
Nice to Have
- Experience leading small technical teams or mentoring other engineers.
- Exposure to deep learning frameworks such as PyTorch or TensorFlow.
- Hands‑on experience with LLMOps/MLOps in production environments.
- Azure or AWS AI/ML certifications.
- Background in IT consulting or client‑facing environments.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
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.
Other employment-related information
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, provincial 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.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
