AI/ML Engineer
Overview
We are seeking an AI/ML Engineer to design, build, and operationalize AI solutions across RAG, Agentic AI, Knowledge Graphs, and Machine Learning. This is a hands-on role covering experimentation, backend development, deployment, evaluation, and production support.
Key Responsibilities
Develop and deploy RAG and Agentic AI solutions from prototype to production.
Build AI workflows using Python, LangChain, LangGraph, or similar frameworks.
Develop backend services and APIs using FastAPI, REST APIs, and Docker.
Create retrieval pipelines including ingestion, embeddings, indexing, retrieval, reranking, and grounding.
Support GraphRAG and knowledge graph use cases.
Build and maintain AI/data pipelines using Databricks.
Integrate solutions with Azure services, security, monitoring, and enterprise systems.
Evaluate solution quality using retrieval metrics, RAG evaluation frameworks, and human review.
Collaborate with engineering, product, and business teams to deliver production-ready solutions.
Required Qualifications
Experience in AI, ML, software, or data engineering.
Strong Python programming skills and experience building production APIs.
Hands-on experience with RAG, LLM applications, or Agentic AI workflows.
Experience with FastAPI, REST APIs, Docker, Git, Azure DevOps, and CI/CD.
Experience deploying applications on Microsoft Azure.
Familiarity with Databricks, SQL, data pipelines, and Python ML libraries.
Understanding of authentication, RBAC, secrets management, logging, and monitoring.
Experience evaluating AI systems using RAGAS, retrieval metrics, or similar frameworks.
Strong communication, collaboration, and problem-solving skills.
Nice to Have
Experience with GraphRAG, knowledge graphs, and vector databases.
Azure OpenAI and AI platform experience.
Knowledge of MLOps, LLMOps, and AI observability tools.
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。
