*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
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.
AI Platform Engineer
Employment Type: Full-Time
Work Model: Onsite
Locations: San Leandro, CA | Lake Forest, CA | Scottsdale, AZ | Pittsburgh, PA
Role Overview
We are looking for an experienced AI Platform Engineer to design, develop, and deploy scalable enterprise AI applications and platforms. The ideal candidate will bring strong software engineering expertise in C#/.NET and Python, along with hands-on experience in Generative AI, LLM integration, cloud platforms, APIs, microservices, and containerized deployments.
Key Responsibilities
- Design and develop scalable AI-enabled applications and platform services using C#, .NET/.NET Core, and Python.
- Build enterprise backend services, REST APIs, and microservices using ASP.NET Core.
- Integrate Generative AI/LLM capabilities into enterprise applications and workflows.
- Develop solutions involving RAG, embeddings, vector databases, prompt engineering, and AI APIs, where applicable.
- Support deployment, integration, monitoring, and productionization of AI/ML models and services.
- Develop secure and scalable integrations between .NET applications, AI services, databases, and enterprise systems.
- Deploy and manage applications using Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
- Build and maintain CI/CD pipelines for .NET, Python, and AI workloads.
- Apply software engineering best practices around API security, authentication, logging, monitoring, performance, and scalability.
- Collaborate with AI engineers, data scientists, architects, DevOps teams, and business stakeholders to deliver production-ready AI solutions.
Required Skills
- Strong hands-on development experience with C# and .NET/.NET Core
- Strong experience with ASP.NET Core, Web API, REST APIs, and microservices
- Good programming experience with Python
- Experience developing or integrating AI/ML and Generative AI solutions
- Exposure to LLMs, RAG, prompt engineering, embeddings, or vector databases
- Experience with cloud platforms, preferably Microsoft Azure, AWS, or GCP
- Strong experience with Docker and Kubernetes
- Experience with CI/CD and DevOps practices
- Knowledge of relational and/or NoSQL databases
- Experience building secure, scalable, production-grade enterprise applications
- Strong understanding of software architecture, design patterns, troubleshooting, and performance optimization
Preferred Skills
- Experience with Azure OpenAI, Microsoft Semantic Kernel, or similar GenAI frameworks
- Knowledge of Azure AI Services / Azure Machine Learning
- Experience integrating LLMs with existing .NET enterprise applications
- Familiarity with MLOps, model monitoring, and AI governance
- Experience with vector databases or search platforms such as Azure AI Search
- Front-end experience with React or Angular is a plus
Location Requirement
This is a full-time onsite role. Candidates must be willing to work from one of the following locations:
San Leandro, CA | Lake Forest, CA | Scottsdale, AZ | Pittsburgh, PA
Compensation: - $100,000 to $180,000 + this position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 11/27/2026
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
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Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
