About Cognizant Consulting
Cognizant Consulting is more than Cognizant's consulting practice, we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?
About the role
As a Senior AI Engineer, you will make an impact by designing, building and operating production-grade AI and machine learning solutions across generative AI, RAG, agentic AI, data science, data engineering and cloud-native application development. You will be a valued member of the Tech Consulting Group team and work collaboratively with client and business stakeholders, and clients.
In this role, you will
- Design, develop, deploy and support production-grade AI and machine learning solutions across the complete engineering lifecycle, including requirements analysis, design, development, testing, deployment, monitoring and continuous improvement.
- Design and implement production-grade RAG and GraphRAG architectures, selecting vector, hybrid or knowledge graph-based retrieval patterns based on data, use-case, scalability and response-quality requirements.
- Design and develop agentic AI solutions using patterns such as single-agent, multi-agent, supervisor-worker, human-in-the-loop and event-driven architectures, implemented with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
- Develop and evaluate machine learning and deep learning models, including NLP use cases, and build scalable data pipelines across relational, NoSQL, analytical, search, vector and graph data platforms.
- Deploy and operate AI workloads on AWS, Microsoft Azure or Google Cloud using established MLOps, LLMOps and CI/CD practices, and monitor, troubleshoot and optimize solutions for quality, performance, scalability, security, governance and cost.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring three days a week in a client or Cognizant office in Chennai, Bengaluru, Hyderabad, NCR, Pune, Kolkata or another Cognizant office location in India. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
- At least four years of hands-on experience delivering production-grade AI and machine learning solutions.
- Practical expertise in generative AI, RAG, agentic AI, machine learning, data science and data engineering.
- Experience building AI-enabled APIs, microservices and application components and integrating AI capabilities with enterprise data and applications.
- Hands-on experience deploying and operating AI workloads on AWS, Microsoft Azure or Google Cloud using software engineering, MLOps, LLMOps and CI/CD practices.
- A background from a premium engineering college.
These will help you succeed
- Experience designing GraphRAG and knowledge graph-based retrieval architectures.
- Familiarity with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
- Experience developing AI-driven workflow automation by integrating agents with enterprise applications, APIs, tools, business rules and approval processes.
- Strong stakeholder engagement skills, including presenting architectural trade-offs and driving consensus on technical direction.
- Ability to produce maintainable code and technical documentation and contribute to engineering reviews and production readiness.
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。
