AI Engineer – Agentic Systems
We are looking for an AI Engineer to design, build, and maintain intelligent agentic systems that drive business automation and decision-making. You will work at the intersection of large language models, tool-use frameworks, and production engineering — creating autonomous AI agents that reason, plan, and act. The ideal candidate has hands-on experience with Python-based agentic frameworks and frontier AI platforms such as Anthropic Claude and OpenAI GPT-4o.
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**
In this role, you will:
- Design and build agentic AI pipelines using Python and LLM frameworks (LangChain, LangGraph, or similar).
- Develop multi-step agents capable of reasoning, planning, and executing complex workflows autonomously.
- Integrate frontier AI models — Claude (Anthropic) and GPT-4o (OpenAI) — for code generation, summarization, and task automation.
- Build RAG pipelines and apply prompt optimization techniques to improve agent performance.
- Collaborate with product and platform teams to translate business requirements into agentic AI solutions.
- Monitor deployed agents in production — tracking token usage, latency, failure modes, and hallucination rates.
- Document architecture decisions, agent design patterns, and operational runbooks.
Work model: Hybrid / Remote
Location: Rockville, Maryland
What you need to have to be considered:
- 3+ years of Python development, including async patterns and API integration
- Hands-on experience building AI agents with LangChain, LangGraph, or equivalent frameworks
- Familiarity with agent architectures such as ReAct or Plan-and-Execute
- Proficiency with Claude (Anthropic) and OpenAI APIs, including tool use and function calling
- Experience building RAG pipelines with vector databases
- Strong prompt engineering skills (chain-of-thought, few-shot, structured outputs)
- Basic cloud deployment on AWS, GCP, or Azure, and familiarity with Docker
Good to Have
- Fine-tuning methodologies (LoRA, RLHF, DPO, SFT)
- Kubernetes and CI/CD pipelines
- Agent evaluation frameworks (RAGAS, DeepEval)
- Observability tooling (LangSmith, Weights & Biases, Arize Phoenix)
- MCP (Model Context Protocol) integrations
- OCR / Document Intelligence services
- GitHub Copilot experience
- Enterprise security for LLM deployments (PII masking, audit logging)
- Microsoft Copilot Studio or Azure AI Foundry
- Multimodal or voice agent experience
Salary and Other Compensation:
The annual salary for this position is between $120,500K – $141,500 K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
