Senior AI / ML Engineer - Generative AI & Azure

EPAM Systems, Inc.; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/Healthcare accounts

401(k) retirement plan

Paid time off

Employee discounts

Job summary

EPAM Systems, Inc. in Houston is seeking a Senior AI/ML Engineer to design, build and deploy production-ready Generative AI applications that integrate enterprise data and telemetry into mission-critical workflows.

You will architect Retrieval-Augmented Generation solutions on the Azure ecosystem, work with data engineers, software developers, and energy-domain stakeholders to deliver reliable AI services, and drive secure backend APIs, containerization and deployment across AKS, App Services,

Qualifications

• 4+ years of professional software or ML engineering experience.
• Hands-on Python development experience.
• Experience with Azure OpenAI and LLM-based solutions.
• Experience with REST APIs and microservices design.
• Familiarity with containerization and cloud deployments (Docker, AKS).
• Experience with data platforms like Databricks, Azure Data Factory or Synapse.

Responsibilities

• Design end-to-end Generative AI apps using Azure OpenAI and Copilot Studio.
• Architect RAG solutions with document ingestion, embedding, vector indexing and retrieval.
• Develop agentic AI workflows integrating APIs, tools and business processes.
• Build secure, high-performance backend APIs and microservices in Python.
• Containerize apps and deploy to AKS, App Services and Functions.
• Set up CI/CD pipelines with GitHub Actions and collaborate with data engineers.

Skills

Python

Azure OpenAI

LLMs

REST APIs

Docker

AKS

Azure Data Factory

Databricks

Azure Synapse

Azure AI Search

Tools

Docker

Azure Kubernetes Service

GitHub Actions

CI/CD pipelines

Azure App Services

Azure Functions

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# 1098563370ResponsibilitiesDesign and develop end-to-end Generative AI applications using Azure OpenAI, Azure AI Foundry and Microsoft Copilot StudioArchitect and implement RAG solutions, including document ingestion, chunking, embedding generation, vector indexing, retrieval, reranking and response orchestrationBuild agentic AI workflows that integrate enterprise knowledge, APIs, tools and business processesDevelop secure, high-performance backend APIs and microservices using PythonIntegrate AI services with existing enterprise applications and backend platforms, including .NET/C# services where neededContainerize applications with Docker and deploy workloads to Azure Kubernetes Service (AKS), Azure App Services and Azure FunctionsBuild and maintain automated CI/CD pipelines using GitHub ActionsWork with data engineering teams to connect AI applications with data platforms such as Azure Data Factory, Azure Synapse and DatabricksImplement vector storage, semantic search, caching and retrieval capabilities using Azure AI Search and related Azure servicesParticipate in architecture reviews, code reviews and technical design discussionsHelp establish engineering standards for AI application quality, security, observability, testing and operational supportCollaborate closely with product owners, data engineers, architects and energy-domain stakeholders to translate business problems into practical AI solutionsRequirements4+ years of professional experience in software engineering, machine learning engineering or a related technical disciplineStrong production-level development experience in PythonHands-on experience building applications with Azure OpenAIStrong understanding of LLMs, prompt engineering, RAG architectures, embeddings and vector searchExperience with Azure AI Search, including vector indexing and retrieval patternsExperience designing and building REST APIs, microservices or distributed backend servicesPractical experience with Docker and cloud application deploymentExperience deploying solutions using Azure services such as AKS, Azure App Services and/or Azure FunctionsExperience working with data platforms or pipelines built on Databricks, Azure Data Factory or Azure SynapseStrong technical ownership and the ability to solve ambiguous architectural and engineering challenges independentlyEffective communication skills and the ability to collaborate with cross-functional technical and business teamsNice to haveExperience with Microsoft Copilot Studio and agentic AI developmentExperience using Azure AI FoundryFamiliarity with C#/.NET and enterprise backend integration patternsBackground in Upstream Oil & Gas, wells, subsurface, production operations, industrial systems or IoT/asset telemetryExperience rapidly learning complex business domains and translating domain challenges into technical solutionsMicrosoft 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 AzureWe offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time OffLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAMApplications will be accepted on a rolling basis.EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.