Full-Stack AI Engineer

Job Description

About the role: Cognizant’s Ace Team is Cognizant’s most selective engineering program—a handpicked cohort of high-potential AI builders chosen to work on real client challenges using AI-native tools, modern architectures, and outcome-driven methods.

As an Ace – Full Stack AI Engineer, you will be part of a small, high-caliber team deployed on focused, high-impact engagements across clients and industries.

From the very start, you will work on production codebases, build AI-native capabilities such as retrieval-augmented generation (RAG) pipelines, agentic workflows, and LLM-integrated applications, and present working solutions to client stakeholders.

Through structured rotations across domains, technology stacks, and problem types, the program enables you to rapidly build both depth and breadth of experience—developing, within a short span, a portfolio of solved problems that traditionally takes 5+ years to accumulate.

Areas of responsibility:

• AI-Native Engineering
• Solution design & architecture
• Quality & governance
• Delivery & client impact
• Communication & collaboration

Skills & technologies:

• Category Technologies & Skills
• Languages & Frameworks: Python, Java / .NET, JavaScript / TypeScript, React / Angular, REST APIs, SQL
• AI & LLM: LLMs & Embeddings, RAG pipelines, Prompt engineering & structured outputs, LLM orchestration (LangChain / LangGraph / CrewAI / AutoGen), AI coding assistants (GitHub Copilot, Claude)
• Cloud & DevOps: AWS / Azure / GCP, Git, CI/CD pipelines, Containers & cloud-native services
• AI Evaluation & Ops: AI quality metrics, Monitoring & guardrails, Cost & latency optimisation, Fallback and degradation strategies

Good to Have:

• Vector DB concepts
• Streamlit / FastAPI
• RAGAS / DeepEval
• Kubernetes
• Event-driven architectures