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Day 12
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From 51 similar postings that came down. Coming down is not always a hire.
Senior AI / ML Engineer - Generative AI & Azure
Reads like an AI Engineer role: building products on existing AI models.
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
Before you apply
- Employer’s visa record
- 303 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign and build generative AI apps using Azure OpenAI, Azure AI Foundry and Copilot Studio
Architect and implement RAG pipelines from ingestion and chunking through retrieval and reranking
Build agentic AI workflows that connect enterprise knowledge, APIs, tools and business processes
Develop secure Python backend APIs and microservices
Containerize with Docker and deploy to AKS, App Services and Azure Functions, with GitHub Actions CI/CD
From the employer’s posting
Design and develop end-to-end Generative AI applications using Azure OpenAI, Azure AI Foundry and Microsoft Copilot Studio
Architect and implement RAG solutions, including document ingestion, chunking, embedding generation, vector indexing, retrieval, reranking and response orchestration
Build agentic AI workflows that integrate enterprise knowledge, APIs, tools and business processes
Develop secure, high-performance backend APIs and microservices using Python
Containerize applications with Docker and deploy workloads to Azure Kubernetes Service (AKS), Azure App Services and Azure Functions
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 202612 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Oct 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- Python
- Azure
- Databricks
- Docker
- Kubernetes
Where the posting names them
Req# 1098563370 Responsibilities Design and develop end-to-end Generative AI applications using Azure OpenAI, Azure AI Foundry and Microsoft Copilot Studio Architect and implement RAG solutions, including document ingestion, chunking, embedding generation, vector indexing, retrieval, reranking and response orchestration Build agentic AI workflows that integrate enterprise knowledge, APIs, tools and business processes Develop secure, high-performance backend APIs and microservices using Python Integrate AI services with existing enterprise applications and backend platforms, including .NET/C# services where needed Containerize applications with Docker and deploy workloads to Azure Kubernetes Service (AKS), Azure App Services and Azure Functions Build and maintain automated CI/CD pipelines using GitHub Actions Work with data engineering teams to connect AI applications with data platforms such as Azure Data Factory, Azure Synapse and Databricks Implement vector storage, semantic search, caching and retrieval capabilities using Azure AI Search and related Azure services Participate in architecture reviews, code reviews and technical design discussions Help establish engineering standards for AI application quality, security, observability, testing and operational support Collaborate closely with product owners, data engineers, architects and energy-domain stakeholders to translate business problems into practical AI solutions Requirements 4+ years of professional experience in software engineering, machine learning engineering or a related technical discipline Strong production-level development experience in Python Hands-on experience building applications with Azure OpenAI Strong understanding of LLMs, prompt engineering, RAG architectures, embeddings and vector search Experience with Azure AI Search, including vector indexing and retrieval patterns Experience designing and building REST APIs, microservices or distributed backend services Practical experience with Docker and cloud application deployment Experience deploying solutions using Azure services such as AKS, Azure App Services and/or Azure Functions Experience working with data platforms or pipelines built on Databricks, Azure Data Factory or Azure Synapse Strong technical ownership and the ability to solve ambiguous architectural and engineering challenges independently Effective communication skills and the ability to collaborate with cross-functional technical and business teams Nice to have Experience with Microsoft Copilot Studio and agentic AI development Experience using Azure AI Foundry Familiarity with C#/.NET and enterprise backend integration patterns Background in Upstream Oil & Gas, wells, subsurface, production operations, industrial systems or IoT/asset telemetry Experience rapidly learning complex business domains and translating domain challenges into technical solutions Microsoft Azure certifications, including: AI-102: Azure AI Engineer Associate, AZ-204: Developing Solutions for Microsoft Azure, DP-100: Designing and Implementing a Data Science Solution on Azure
The ideal candidate is a hands-on engineer with strong Python, Azure AI, cloud-native deployment and data integration experience.
You will work within an empowered Agile delivery team to architect scalable Retrieval-Augmented Generation (RAG) applications, agentic workflows and AI-powered services on the Microsoft Azure ecosystem.
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Are you passionate about building enterprise-scale Generative AI solutions that solve real-world operational challenges? We are looking for a Senior AI / ML Engineer to join our Data, AI & Energy Practice. In this role, you will design, build and deploy production-ready AI applications that integrate with complex enterprise data platforms, asset telemetry and mission-critical workflows. This is more than a prompt engineering or prototype-focused position. You will work within an empowered Agile delivery team to architect scalable Retrieval-Augmented Generation (RAG) applications, agentic workflows and AI-powered services on the Microsoft Azure ecosystem. You will partner with data engineers, software developers, cloud architects and business stakeholders to turn advanced AI capabilities into reliable, measurable business outcomes. The ideal candidate is a hands-on engineer with strong Python, Azure AI, cloud-native deployment and data integration experience. Experience in energy, industrial operations, IoT telemetry or similarly complex business domains is a strong advantage. Req# 1098563370 Responsibilities Design and develop end-to-end Generative AI applications using Azure OpenAI, Azure AI Foundry and Microsoft Copilot Studio Architect and implement RAG solutions, including document ingestion, chunking, embedding generation, vector indexing, retrieval, reranking and response orchestration Build agentic AI workflows that integrate enterprise knowledge, APIs, tools and business processes Develop secure, high-performance backend APIs and microservices using Python Integrate AI services with existing enterprise applications and backend platforms, including .NET/C# services where needed Containerize applications with Docker and deploy workloads to Azure Kubernetes Service (AKS), Azure App Services and Azure Functions Build and maintain automated CI/CD pipelines using GitHub Actions Work with data engineering teams to connect AI applications with data platforms such as Azure Data Factory, Azure Synapse and Databricks Implement vector storage, semantic search, caching and retrieval capabilities using Azure AI Search and related Azure services Participate in architecture reviews, code reviews and technical design discussions Help establish engineering standards for AI application quality, security, observability, testing and operational support Collaborate closely with product owners, data engineers, architects and energy-domain stakeholders to translate business problems into practical AI solutions Requirements 4+ years of professional experience in software engineering, machine learning engineering or a related technical discipline Strong production-level development experience in Python Hands-on experience building applications with Azure OpenAI Strong understanding of LLMs, prompt engineering, RAG architectures, embeddings and vector search Experience with Azure AI Search, including vector indexing and retrieval patterns Experience designing and building REST APIs, microservices or distributed backend services Practical experience with Docker and cloud application deployment Experience deploying solutions using Azure services such as AKS, Azure App Services and/or Azure Functions Experience working with data platforms or pipelines built on Databricks, Azure Data Factory or Azure Synapse Strong technical ownership and the ability to solve ambiguous architectural and engineering challenges independently Effective communication skills and the ability to collaborate with cross-functional technical and business teams Nice to have Experience with Microsoft Copilot Studio and agentic AI development Experience using Azure AI Foundry Familiarity with C#/.NET and enterprise backend integration patterns Background in Upstream Oil & Gas, wells, subsurface, production operations, industrial systems or IoT/asset telemetry Experience rapidly learning complex business domains and translating domain challenges into technical solutions Microsoft Azure certifications, including: AI-102: Azure AI Engineer Associate, AZ-204: Developing Solutions for Microsoft Azure, DP-100: Designing and Implementing a Data Science Solution on Azure
Source details
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- Location & working pattern
USA
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- Work authorization
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