10 hours ago
Dallas, TX, USASenior
Base Salary
$81k - $132k/yr
Responsibilities
- Develop and deploy AI-native applications using Large Language Models and foundation model APIs.
- Design agentic workflows, orchestration frameworks, memory systems, tool integrations, and multi-agent solutions.
- Build and optimize RAG pipelines using embeddings, vector databases, and retrieval strategies.
- Integrate AI capabilities into enterprise applications through scalable APIs and full-stack development.
- Implement responsible AI practices, including guardrails, safety controls, audit logging, and model governance.
- Create evaluation frameworks, prompt testing strategies, regression testing processes, and monitoring frameworks.
- Monitor and optimize AI application performance, observability, tracing, latency, quality, and cost.
- Deliver AI solutions from concept and architecture through deployment and ongoing optimization.
- Collaborate with architects, data scientists, product teams, business stakeholders, and other engineers.
Requirements
- Strong experience developing and delivering Generative AI solutions using LLMs.
- Hands-on experience building AI-native applications and integrating model APIs into enterprise systems.
- Experience with RAG architectures, vector databases, embeddings, and retrieval optimization.
- Knowledge of agentic AI frameworks, workflow orchestration, tool integration, and multi-agent systems.
- Experience implementing AI governance, safety controls, guardrails, and responsible AI practices.
- Proficiency in software development, API development, and cloud-native application design.
- Experience building automated testing, evaluation, and monitoring frameworks for AI applications.
- Strong troubleshooting, problem-solving, collaboration, and communication skills.
- Experience working in Agile development environments.
- Preferred: experience with OpenAI, Azure OpenAI, Anthropic, Gemini, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Azure, AWS, Google Cloud Platform, MLOps, AIOps, AI observability tools, regulated-industry AI solutions, CI/CD, DevOps, automated deployments, and mentoring engineers.
Benefits
- Hybrid work in Dallas, Texas, requiring up to three days per week in a client or Cognizant office.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance and applicable plan terms.
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.