Senior AI Engineer
About The Position
Cognizant’s Digital Engineering practice is seeking a highly qualified Senior AI Engineer with experience developing and building high-performing, scalable, enterprise applications. You will be part of a digital software team that works on high-demand applications. Our engineers have a passion for high-quality, reliable and maintainable code. You will work side by side with product managers, designers, and clients, making decisions together in order to quickly deliver valuable working software to clients and their users. Our engineers are agile and retrospective, and not afraid to identify what we’re doing wrong, so we can fix it, and what we’re doing right, so we can improve on it. Above all, we judge success by the success of our team and the happiness of our customers. Cognizant Digital Engineering If you’re like us, you’ve got big ideas. At Cognizant, we’re exploring new ideas every day. We help industry leading companies reinvent their business models and innovate products that create new value—by connecting people with things, insights and experiences. Cognizant digital engineering designs, engineers and delivers digital products and experiences that drive digital-first business models. We offer the most comprehensive digital engineering expertise and client-centric methodology for sustainable innovation.
Requirements
- Core: Java 17+, Spring Boot, Spring AI.
- AI Platforms: Google Vertex AI, Model Garden, and Agent Builder.
- Frameworks: LangChain, CrewAI, and ADK/SDKs for agentic development.
- Tools: GitHub Copilot, MCP (Model Context Protocol), Vector Databases (e.g., Pinecone or Vertex Vector Search).
Responsibilities
- Lead the AI-PDLC: Drive the lifecycle from initial research and grounding to production-scale agent deployment.
- Spec-Driven Implementation: Author and maintain high-fidelity specifications that drive autonomous Agent-to-Agent (A2A) workflows.
- XP Mentorship: Champion AI-Pair Programming and AI-TDD, raising the "AI IQ" of the entire development organization.
- Architecture & Orchestration: Design complex multi-agent systems using LangChain and CrewAI, ensuring seamless integration with enterprise Java/Spring backends.
- Context & Dataset Engineering: Manage the retrieval architecture (MCP) and grounding datasets to ensure low-hallucination, high-accuracy outputs.
Benefits
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
