Background & Objectives
The Information and Technology Solutions unit is responsible for providing high-quality information and technology solutions to the organization. Within this unit, the Operations Products team focuses on leveraging advanced AI technologies to enhance operations and services. The AI Engineer will play a critical role in developing and implementing AI-powered solutions, including generative AI models like ChatGPT and Gemini, to support various initiatives within the organization.
Scope of Work
The AI Engineer will be responsible for designing, developing, and deploying AI solutions that address the needs of the organization. This includes working on projects that involve natural language processing, machine learning, generative AI, and other AI technologies. The engineer will collaborate with various teams to understand their requirements and deliver AI solutions that improve efficiency, decision-making, and service delivery.
Key Responsibilities
- Lead the design and implementation of scalable, secure cloud architectures for enterprise solutions leveraging LLM models from Google and OpenAI
- Build applications with vector databases and LangChain and understand text embeddings
- Develop and maintain cloud-based solutions that integrate LLM models to enhance search capabilities and user experience
- Demonstrate experience in Azure technologies, including ASE, Azure Functions, Azure API Management, Azure Service Bus, Logic Apps, Azure Storage, Azure Cognitive Services, Azure Cosmos DB, Azure Data Factory, Databricks, Azure Data Lake, and caching technologies
- Provide technical leadership and mentorship to team members, ensuring best practices in cloud architecture and LLM model integration
- Ensure compliance with security standards and best practices in cloud architecture and data handling, particularly when dealing with sensitive information processed by LLM models
- Address performance and production issues, with extensive knowledge in logging and monitoring using tools such as Splunk and AppInsights
- Possess sound technical knowledge and understanding of infrastructure design, including private and public cloud
- Establish systems to supervise the operating efficiency of existing application systems and provide proactive maintenance
- Participate in systems design, working within an established framework, and provide direction to a team of staff and contractors in their area of expertise
- Stay updated with the latest industry trends, cloud technologies, and advancements in LLM models to continually improve enterprise search solutions
- Exhibit strong leadership and team-building skills, with the ability to mentor and guide technical teams, and excellent communication skills to articulate complex technical information to non-technical stakeholders
- Create detailed architectural documentation and design patterns, and possess knowledge of security standards and compliance requirements in a cloud environment
Required Qualifications & Experience
- A degree in Computer Science, Data Science, AI, or a related field
Technical Skills:
- Proficiency in programming languages such as Python
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch)
- Knowledge of natural language processing and generative AI models
- Experience with LangChain, LangGraph, and building platform services
- Experience in building solutions leveraging Agentic AI
- Knowledge and experience with Google Cloud services, Azure technologies, and enterprise search applications
Professional Experience:
- At least 3-5 years of experience in AI development and implementation
- Experience in prompt engineering and AI governance
- Demonstrated experience in cloud-native and hybrid web development projects
Soft Skills:
- Strong problem-solving skills
- Excellent communication and collaboration abilities
- Ability to work in a fast-paced and dynamic environment
About Cognizant’s IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
- Applications will be accepted until July 31st , 2026
- LI#- #LI-SC6
Compensation & Benefits
$92,000 – $110,000 per year
Bonus + Comprehensive Benefits
Additional Information
- Onsite role
- ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.
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
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。
