About the Role
We’re looking for an AI Engineer to design, build, and operate production-grade generative AI systems on Microsoft Azure. You’ll own retrieval-augmented generation (RAG) solutions end to end, from data ingestion through to monitored, deployed services, and build the agentic workflows and APIs that put them in users’ hands.
What You’ll Do
Build RAG systems
- Design and implement end-to-end RAG pipelines: data ingestion, embedding generation, vector database management, and retrieval optimization.
- Develop and maintain APIs that orchestrate RAG workflows, including retrieval, prompt handling, and model interaction.
Develop agentic AI workflows
- Build orchestration and multi-step reasoning workflows using Semantic Kernel, LangChain, or LangGraph, incorporating tool use and memory.
- Integrate LLMs such as Azure OpenAI, and tune prompts for accuracy, performance, and cost.
Ensure quality and reliability
- Implement observability, monitoring, and evaluation frameworks using LangSmith and Azure monitoring tools to track output quality, latency, and hallucination rates.
- Troubleshoot and improve retrieval quality, grounding accuracy, and response relevance.
Deploy and operate
- Deploy and manage AI services on Azure using CI/CD pipelines and containerization.
- Build and maintain scalable web applications using Python, Node.js, and React.
Build responsibly
- Apply responsible AI practices, including guardrails, security controls, and compliance standards.
Required
- Hands-on Python experience for backend services and automation
- Hands-on experience with LangChain and/or LangGraph
- Experience with RAG, embeddings, and vector search
- Hands-on experience with Azure OpenAI and Azure AI Search
- Proficiency with REST APIs, JSON, and Git
Nice to Have
- JavaScript experience (React, Node.js)
- Docker and container-based deployments
- Experience with Azure services such as Azure Container Apps or AKS, Azure Functions, Azure Monitor/Application Insights, and Key Vault
Salary and Other Compensation:
The annual salary for this position is between $110,000– $135,000 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。
