Job description

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 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Background & Objectives
Scope of Work
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
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
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
At least 3-5 years of experience in AI development and implementation
Experience in prompt engineering and AI governance

Nice-to-haves

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Keywords to mirror

aimachine learningllmazureapipython

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave