AI Platform Engineer

Cognizant

Confirmed live today High trust

Quick summary

Work type: On-site
Location: San Leandro, CALake Forest, CAScottsdale, AZPittsburgh, PA
Salary: $100,000–$180,000 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k

This role $140k

$86k $228k

below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $151,000–$214,000 — the blue band above. At the midpoint, this role pays about $140k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 292 open roles on FindRole.

Listed pay typically runs $100,000–$137,000 across 185 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · AI Platform Engineer

Role Posting Log in to save

The AI Platform Engineer joins the IoT Practice to design, develop, and deploy scalable enterprise AI applications and platforms. In this role, you will build enterprise backend services, REST APIs, and microservices while integrating Generative AI and LLM capabilities into complex workflows. Your daily work involves developing solutions for RAG, embeddings, vector databases, and prompt engineering. You will utilize a technical stack including C#, .NET/.NET Core, Python, ASP.NET Core, Docker, and Kubernetes. You will also manage deployments on cloud platforms like Azure, AWS, or GCP, while maintaining CI/CD pipelines. The position focuses on productionizing AI/ML models and creating secure integrations between .NET applications and AI services to solve industrial problems within the IoT domain through human-centered, connected product engineering.

Skills

C# .NET .NET Core Python Generative AI LLM ASP.NET Core REST APIs Microservices RAG Vector Databases Docker Kubernetes Azure AWS GCP CI/CD MLOps Azure OpenAI Microsoft Semantic Kernel React Angular

What you'll do

Design and develop scalable AI-enabled applications and platform services using C#, .NET, and Python.
Build enterprise backend services, REST APIs, and microservices using ASP.NET Core.
Integrate Generative AI and LLM capabilities into enterprise applications and workflows.
Develop solutions involving RAG, embeddings, vector databases, and prompt engineering.
Support the deployment, integration, monitoring, and productionization of AI/ML models.
Develop secure integrations between .NET applications, AI services, and enterprise databases.
Deploy and manage applications using Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
Build and maintain CI/CD pipelines for .NET, Python, and AI workloads.

What we're looking for

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 such as Azure, AWS, or GCP (preferred).
Strong experience with Docker and Kubernetes.
Experience with CI/CD and DevOps practices.

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