1 day ago
Base Salary
$130k - $159k/yr
Responsibilities
- Design, develop, and deploy enterprise-grade AI and LLM solutions involving context handling, memory patterns, and prompt engineering.
- Build and optimize RAG pipelines with embeddings, retrieval strategies, re-ranking, and evaluation frameworks.
- Lead agentic workflows and AI-powered applications integrating APIs, enterprise tools, and data systems with guardrails.
- Integrate AI solutions with ERP, CRM, data platforms, identity systems, and secure enterprise environments.
- Own end-to-end engineering delivery, including code quality, testing, deployment, and performance optimization.
- Mentor junior engineers, conduct code reviews, and drive AI engineering and MLOps best practices.
- Collaborate with architects, clients, business stakeholders, and engineering teams to align solutions with business and production-readiness requirements.
Requirements
- 8–12 years of experience in software engineering, AI/ML, or applied AI development, including strong hands-on Python experience.
- Hands-on experience building and deploying LLM applications, RAG architectures, and vector databases.
- Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies.
- Strong understanding of prompt engineering, context design, structured outputs, and prompt-injection mitigation.
- Experience developing scalable AI systems and APIs in AWS, Azure, or GCP environments.
- Demonstrated experience leading engineering teams or owning modules and workstreams in a delivery environment.
- Ability to translate business requirements into technical solutions and solve complex problems.
- Experience integrating AI with enterprise systems, identity platforms such as SSO/IAM, and secure data environments is preferred.
- Familiarity with evaluation, observability, and monitoring tools for AI and LLM systems is preferred.
- Experience with MLOps, CI/CD pipelines, production AI application deployment, distributed systems, and cloud-native architectures is preferred.
- Consulting or client-facing experience is preferred.
- An advanced degree in Computer Science, Engineering, or a related field is preferred.
Benefits
- Medical, dental, vision, and life insurance.
- 401(k) plan and contributions.
- Employee stock purchase plan.
- Employee assistance program.
- 10 paid holidays plus PTO.
- Paid parental leave and fertility assistance.
- Learning and development certifications and programs.
- Hybrid work model with time spent in a client or Cognizant office in the United States and travel as needed.
- Eligibility for a discretionary annual incentive program based on performance.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.