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EPAM Systems

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving a diverse range of clients from Forbes Global 2000 companies to ambitious startups. With over thirty years of experience in custom software, product, and platform engineering, EPAM helps organizations become AI-native enterprises, driving value from innovation and digital investments. The company is recognized for its expertise in various fields including software engineering, consulting services, and digital engagement.

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.
We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments.
Responsibilities<ul><li>
Manage and optimize the Domino Data Lab platform across the machine learning lifecycle</li><li>
Oversee MLOps processes to support efficient model development and operations</li><li>
Maintenance of Kubernetes clusters and Docker containers for scalable workloads</li><li>
Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub</li><li>
Administration of Linux environments to ensure system stability</li><li>
Provide platform support at L2/L3 levels for end users and stakeholders</li><li>
Monitoring and troubleshooting of platform issues to minimize downtime</li><li>
Collaboration with data science teams to streamline machine learning workflows</li><li>
Deployment and management of solutions across AWS, Azure and GCP</li></ul>
Requirements<ul><li>
5+ years of experience in MLOps or machine learning lifecycle management</li><li>
Knowledge of Domino Data Lab platform</li><li>
Expertise in Kubernetes and Docker</li><li>
Proficiency in Python and R</li><li>
Skills in CI/CD tools including Jenkins, GitLab and GitHub</li><li>
Familiarity with AWS, Azure and GCP</li><li>
Competency in Linux administration</li><li>
Capability to perform monitoring and troubleshooting</li><li>
Background in platform support at L2/L3 levels</li></ul>
Nice to have<ul><li>
Background in AI/ML engineering</li><li>
Skills in model deployment and monitoring</li><li>
Familiarity with data science platform support</li><li>
Proficiency in infrastructure automation using Terraform and Ansible</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Lead/Sr MLOps Engineer - Domino Data Lab

<div>We're looking for a Senior AI Architect to join our team in Germany in a hybrid working mode. In this role, you will help clients design and scale production-grade AI platforms and solutions on Microsoft Azure. You will work at the intersection of enterprise architecture, cloud-native engineering, GitHub-enabled software delivery and responsible AI adoption.
This position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will engage in areas such as Azure AI platforms, copilots, RAG, agentic systems, governance, observability, evaluation, security and Responsible AI practices.
Unlike roles centered on proofs of concept, this opportunity involves delivering enterprise-grade AI systems embedded into real workflows, including engineering productivity, knowledge retrieval, automation and AI-enabled delivery. The challenges go beyond basic API calls and span AI-native software engineering, GitHub Copilot integration, secure architectures, FinOps and governance at scale.
You will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption.
Responsibilities<ul><li>
Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows
</li><li>Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance
</li><li>Design Azure-first architectures using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL and Microsoft Fabric where applicable</li><li>
Design AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices and AI-assisted delivery patterns
</li><li>Design harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gates
</li><li>Define governance and operational frameworks for Responsible AI, security, identity, FinOps and observability
</li><li>Translate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teams
</li><li>Facilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellence
</li><li>Convert practical experience into reusable patterns, accelerators and architectural blueprints
</li><li>Mentor architects and engineers and contribute to presales and solution design initiatives
</li></ul>Requirements<ul><li>
10+ years in solution architecture, cloud platforms or platform engineering
</li><li>Strong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering
</li><li>Proficiency with Microsoft Azure and modern cloud-native architecture
</li><li>Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
</li><li>Track record of moving AI initiatives beyond PoC to enterprise-grade production environments
</li><li>Hands-on capability to validate prototypes, review code and guide engineering decisions
</li><li>Ability to explain how to make AI useful in production, not just impressive in a demo
</li><li>Capability to design platform architecture, governance models, adoption plans and AI delivery workflows
</li><li>Confidence working across enterprise realities, leveraging Azure and GitHub pragmatically
</li><li>Strong communication skills with both executives and technical stakeholders
</li></ul>Nice to have<ul><li>
Experience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced Security
</li><li>Familiarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similar
</li><li>Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integration
</li><li>Understanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOps
</li><li>Background in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD and secure API gateway practices
</li><li>Awareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms and human approval workflows
</li><li>Familiarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001
</li><li>Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sector
</li><li>Knowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API or Hugging Face</li></ul>
We offer<ul><li>
30 days holiday per annum</li><li>
Company Pension Scheme</li><li>
Regular performance assessments</li><li>
Discount on Fitness-First Black Membership</li><li>
bitkom - Corporate Benefits</li><li>
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)</li><li>
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses</li><li>
Friendly and enjoyable working team</li><li>
Regular corporate and social events</li><li>
Flexible and remote working opportunities</li><li>
Award-winning workplace: Great Place To Work&reg; certified in 2026, Kununu (Top Company 2022&ndash;2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.</li></ul></div>

Senior AI Architect - Microsoft Technologies

<div>
 
 We're looking for a
 
 Senior AI Engineer (Python
 
 ) to join our team in Doha, Qatar, in an onsite working mode.
 
 
 This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
 </li>
 <li>
 Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
 </li>
 <li>
 Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
 </li>
 <li>
 Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
 </li>
 <li>
 Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
 </li>
 <li>
 Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
 </li>
 <li>
 Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
 </li>
 <li>
 Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
 </li>
 <li>
 4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
 </li>
 <li>
 Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
 </li>
 <li>
 Experience integrating with commercial and self-hosted LLM models
 </li>
 <li>
 Hands-on experience with AI agent frameworks such as LangChain or equivalent
 </li>
 <li>
 Strong backend engineering skills with Python as primary language and intermediate Java proficiency
 </li>
 <li>
 Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
 </li>
 <li>
 Familiarity with cloud services and infrastructure automation tools such as Ansible
 </li>
 <li>
 Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
 </li>
 <li>
 Understanding of embeddings, semantic search and large-scale vector indexing
 </li>
 <li>
 Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar
 </li>
 </ul>
 
 &nbsp;
 
 
 
 We offer
 
 
 <ul>
 <li>
 Private healthcare and life insurance
 </li>
 <li>
 End of service gratuity
 </li>
 <li>
 Annual air travel tickets for expatriates
 </li>
 <li>
 Corporate Programs including Employee Referral Program with rewards
 </li>
 <li>
 Learning and development opportunities including in-house training and coaching, professional certifications, and courses
 </li>
 </ul>
</div>

Senior AI Engineer (Python)

<div>We're looking for a Senior AI Engineer (Python) to join our team in Doha, Qatar, in an onsite working mode.
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
Responsibilities<ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul>Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

<div>
 
 EPAM is seeking a highly skilled and experienced
 
 AI Solutions Architect
 
 to join our team. The ideal candidate will be responsible for designing and implementing innovative solutions using
 
 Azure AI
 
 and
 
 Azure OpenAI
 
 services. This role is critical in automating and enhancing system maintenance notifications through AI-driven text generation, classification and validation, contributing to scalable and efficient system performance. You will work across the entire lifecycle of the product, from concept and design to deployment, ensuring seamless integration and continuous improvement.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design robust, scalable and secure cloud-native solutions that leverage Azure AI and OpenAI technologies and services
 </li>
 <li>
 Oversee the implementation process, ensuring alignment with business objectives and industry best practices
 </li>
 <li>
 Develop automated processes for classification, validation and generating text suggestions using Azure AI
 </li>
 <li>
 Integrate AI solutions into existing systems to optimize communication and data processing
 </li>
 <li>
 Establish and maintain a CI/CD pipeline for continuous integration and delivery using Azure DevOps
 </li>
 <li>
 Monitor cloud implementations and make recommendations for improvements in terms of performance, cost-efficiency and security
 </li>
 <li>
 Ensure that all cloud solutions comply with industry regulations and security standards
 </li>
 <li>
 Work closely with clients to understand their business needs and technical requirements
 </li>
 <li>
 Provide expert guidance and architectural recommendations for cloud modernization, configurations and optimizations
 </li>
 <li>
 Lead proof of concept (PoC) initiatives to validate proposed solutions and demonstrate their feasibility
 </li>
 <li>
 Foster a collaborative environment and ensuring successful project delivery
 </li>
 <li>
 Stay abreast of the latest Azure services and technologies
 </li>
 <li>
 Advocate for innovative Gen-AI cloud solutions that can enhance business performance and provide competitive advantages
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems or a related field
 </li>
 <li>
 At least 5-7 years of experience working with Microsoft Azure, covering solution design, implementation and management in a cloud environment
 </li>
 <li>
 At least 2-3 years of experience with AI/Gen-AI technologies, specifically with Azure AI and Azure OpenAI services
 </li>
 <li>
 Extensive experience in architecting, deploying and managing solutions using Azure AI and Azure OpenAI services
 </li>
 <li>
 Deep understanding of Azure architecture, services and best practices
 </li>
 <li>
 Strong knowledge of natural language processing (NLP) and automated text generation
 </li>
 <li>
 Expertise in designing serverless architectures and integrating AI-driven automation solutions
 </li>
 <li>
 Hands-on experience with CI/CD pipelines and Azure DevOps
 </li>
 <li>
 Deep understanding of software development lifecycles and best practices in cloud environments
 </li>
 <li>
 Azure Solutions Architect Expert certification or other relevant Azure certifications
 </li>
 <li>
 Excellent verbal and written communication abilities; proficient at engaging with clients and stakeholders at all levels
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to lead projects and collaborate with multiple stakeholders
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Fluency in Arabic is strongly preferred for this role, as it will facilitate effective communication and collaboration with our regional teams and stakeholders
 </li>
 </ul>
 
 &nbsp;
 
 
 
 We offer
 
 
 <ul>
 <li>
 End of service gratuity
 </li>
 <li>
 Private healthcare and life insurance
 </li>
 <li>
 Employee assistance program
 </li>
 <li>
 Wellness program
 </li>
 <li>
 Annual air travel allowance for expatriates
 </li>
 <li>
 Regular performance feedback and salary reviews
 </li>
 <li>
 Global travel medical and accident insurance
 </li>
 <li>
 Referral bonuses
 </li>
 <li>
 Learning and development opportunities including in-house training and coaching, professional certifications, and courses
 </li>
 </ul>
</div>

Azure AI Solution Architect

<div>We are looking for a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents, multi-agent workflows, and AI/ML solutions using Python, Azure AI Foundry, Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and Strands SDK. You will work alongside architects and data teams to take solutions from prototype to scalable, reliable production.
Responsibilities<ul><li>
Design, build, and maintain production-grade AI agents and multi-agent workflows for enterprise use cases</li><li>
Integrate and operationalize AI/ML models and agent workflows into scalable production systems</li><li>
Implement orchestration using Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or Strands SDK</li><li>
Implement RAG, grounding, and prompt optimization to improve response quality and reduce hallucinations</li><li>
Integrate agents with internal and external systems via APIs and connectors</li><li>
Design and implement error handling, fallback flows, and escalation paths</li><li>
Perform testing and evaluation of agents and automation workflows</li><li>
Collaborate with architects and data teams to translate requirements into deployable AI solutions</li><li>
Support deployment, CI/CD, and release management (Azure DevOps)</li><li>
Monitor and continuously improve agent performance, reliability, and cost efficiency</li></ul>
Requirements<ul><li>
Proficiency in Python development for AI/agent solutions, with solid general scripting ability</li><li>
Hands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDK</li><li>
Expertise in Azure AI Foundry for building, deploying, and operating agents at scale (hosted agents, agent service, memory, evaluation)</li><li>
Solid understanding of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluation</li><li>
Skills in API integration (REST APIs, JSON, authentication via OAuth2 / API keys)</li><li>
Competency in designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths</li><li>
Capability to collaborate with architects and data engineering teams to deliver scalable, production-grade solutions</li><li>
English proficiency at B2 level or higher</li></ul>
Nice to have<ul><li>
Background in Azure AI Services and the broader Azure stack (Blob Storage, Container Services)</li><li>
Experience with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)</li><li>
Familiarity with Model Context Protocol (MCP) for tool/connector integration</li><li>
Knowledge of LLMOps / MLOps: monitoring, evals, and cost/latency optimization for AI Agents</li><li>
Experience with vector databases, retrieval infrastructure for RAG and Docker</li><li>
Skills in Microsoft Graph API integration and delivering in enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Lead AI Agent Developer

<div>EPAM is a global technology services and consulting company that helps clients transform their businesses through technology. Our Microsoft Business Group works with enterprise clients across industries to architect, build, and modernize their Microsoft-based platforms. 
This Principal role sits at the intersection of business development and delivery leadership. You will work alongside our sales teams to win new Microsoft engagements from initial scoping through proposal and close to overseeing the technical quality of the program. Roughly half your time will be client-facing across the sales cycle; the other half in delivery oversight and thought leadership.
Responsibilities<ul><li>
Partner with Sales &amp; Delivery Management teams to engage prospects throughout the sales lifecycle, from first meeting through close</li><li>
Lead the scoping and authoring of proposals and statements of work for complex Microsoft engagements</li><li>
Design project teaming models and produce accurate effort and cost estimates</li><li>
Clearly communicate scope, assumptions, and risk to both technical and executive audiences</li><li>
Design Azure and Microsoft platform solutions spanning application modernization, data platforms, AI/ML, and Copilot/Fabric workloads</li><li>
Analyze client application and data estates; develop transformation roadmaps and next-generation architecture</li><li>
Produce solution architecture documentation covering key technical decisions and implementation approach</li><li>
Lead solution design reviews and provide technical oversight across active engagements</li><li>
Oversee development efforts and serve as an escalation point for technical questions</li><li>
Mentor EPAM engineers and contribute to raising the technical bar across the practice</li><li>
Stay current on Microsoft platform developments and bring emerging capabilities into client conversations</li><li>
Contribute to EPAM's point of view on the Microsoft ecosystem through internal communities and external content</li></ul>
Requirements<ul><li>
Deep expertise in Azure and the broader Microsoft platform across application modernization, data and analytics, and AI/ML workloads</li><li>
A track record of leading complex, multi-workload Microsoft implementations at enterprise scale</li><li>
Demonstrated experience in client-facing, consulting roles and comfort leading architecture discussions with senior technical and executive stakeholders</li><li>
Experience supporting or leading presales activity including scoping engagements, writing proposals, and contributing to deal closure</li><li>
Strong solution architecture fundamentals across application stacks (REST, containers, serverless, front-end/back-end) and data/AI stacks (relational, non-relational, GenAI, ML)</li><li>
Familiarity with Agile delivery practices and DevOps tooling (IaC, CI/CD, automated deployment)</li><li>
Excellent communication skills &mdash; able to translate complex technical concepts into business language</li><li>
Background in large-scale software development or data engineering to credibly lead technical conversations on either side</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Principal, Technology Consulting - Microsoft Solutions

Join EPAM Systems and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

EPAM Systems

About Company

Lead/Sr MLOps Engineer - Domino Data Lab

Senior AI Architect - Microsoft Technologies

Senior AI Engineer (Python)

Senior AI Engineer (Python)

Azure AI Solution Architect

Lead AI Agent Developer

Principal, Technology Consulting - Microsoft Solutions