AI Customer Engineer
About the role
As an AI Customer Engineer, you will make an impact by building scalable AI agent solutions and accelerating enterprise adoption of Generative AI technologies. You will be a valued member of the AI Engineering team and work collaboratively with architects, product teams, and cross-functional stakeholders to deliver intelligent, production-grade AI applications.
In this role, you will:
- Build and deploy AI agents and GenAI-powered applications using modern frameworks and platforms
- Design and implement RAG pipelines, prompt engineering workflows, and LLM integrations
- Develop scalable backend services and APIs for AI-driven systems
- Enable cloud-native deployments with containerization and microservices architecture
- Collaborate with cross-functional teams to deliver reliable, secure, and high-performing AI solutions
Work model: Work from Office
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in [Chennai/Bangalore].
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 need to have to be considered
- Hands-on experience to Google ADK or CoPilot Studio in building AI Agents (or any tool such as CrewAI, Autogen for building agents)
- Hands-on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails and other similar concepts in AI Agent development
- Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering
- Hands-on experience in creating and maintaining Python libraries, utilize LangChain, Hugging Face, OpenAI API, or local models
- Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrate third-party services, UI components and APIs
- Hands-on working with Docker-based deployments, and leveraging GitHub for code repo and version control is MUST
- Interpret microservices design principles and cloud computing basics
- Strong communication skills and articulation skills
These will help you stand out
- Experience working on end-to-end AI/GenAI project lifecycle
- Exposure to enterprise-scale deployments and production-grade AI systems
- Ability to optimize performance, scalability, and reliability of AI models and services
- Strong collaboration skills across engineering, product, and business teams
- Adaptability to rapidly evolving AI tools, frameworks, and standards
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting ideas to this role.
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。
