EPAM Systems
Engineering-led global digital transformation firm founded in 1993, headquartered in Newtown, PA. AWS Premier Tier Services Partner (2025 AWS Global Innovation Partner of the Year), Google Cloud Premier Partner since 2018, and Microsoft Global Systems Integrator with all six Solution Partner designations. Differentiator is 30+ years of software engineering DNA applied to cloud — not the cheapest path, but consistently rated for technical depth.
Summary
EPAM Systems is a Global Engineering & Cloud Transformation Partner firm (~62,850 employees (December 2025); ~56,600 delivery professionals; 15,000+ AWS-experienced engineers; 2,000+ Google Cloud engineers; 5,000+ AWS certifications) focused on Cloud Migration and Application Modernization across AWS/Azure/GCP, with delivery experience in Financial Services and Software & Hi-Tech.
Last reviewed: 2026-05-23 · Cloud Intel — independent, no paid placement
EPAM Systems Analysis
✓ Strengths
- • AWS Premier Tier Services Partner with a Strategic Collaboration Agreement (SCA) focused on GenAI and cloud modernization; named 2025 AWS Global Innovation Partner of the Year
- • Google Cloud Premier Partner since 2018 with 4 specializations (GenAI Services, Security, Machine Learning, Data Management); won 2025 GCP Industry Solutions Partner of the Year (Oil & Gas) and two 2026 GCP Partner of the Year awards
- • Microsoft Global Systems Integrator with all 6 Solution Partner designations and 17 specializations across AI, app innovation, and data; won 2025 Innovate with Azure AI Platform Partner of the Year
- • Engineering-first culture: 30+ years of software engineering heritage distinguishes EPAM from strategy-led or process-led consultancies; Gartner Magic Quadrant Leader for Custom Software Development Services (2023 and 2024)
- • EPAM AI/RUN platform integrates with Amazon Bedrock, Azure AI Foundry, and Google Gemini — productized GenAI tooling for modernization and AI-native software delivery
- • IDC MarketScape Leader in Worldwide Experience Build Services, Experience Design Services, and Software Engineering Services
⚠ Considerations
- • Leadership transition: founder-CEO Arkadiy Dobkin stepped down September 1, 2025 after 32 years; Balazs Fejes became CEO. Post-transition account continuity and cultural direction warrant monitoring.
- • Eastern Europe workforce concentration: significant pre-2022 delivery base in Ukraine and Belarus; EPAM has been diversifying geographically (India, LatAm, APAC) since the Russia-Ukraine war. Verify current delivery geography for programs with geographic risk requirements.
- • Premium pricing: engineering-quality rates are materially higher than cost-led Indian SIs. Engagements often require business-case justification around outcomes, not just labor cost.
- • Large-firm dynamics: at 62,000+ people, team quality can vary by geography, practice, and seniority mix. Interview the proposed delivery team — not just the partner logo.
- • Less specialist than boutique cloud-native partners: EPAM does breadth well, but for narrow AWS-only or Azure-only modernization with lean budgets, smaller Premier Partners may outperform on focus and cost.
Best Fit For
- ✓ Large enterprises with complex, multi-cloud or hybrid estates that require genuine engineering depth across AWS, Azure, and GCP simultaneously
- ✓ Financial services, life sciences, or hi-tech companies undertaking multi-year cloud + GenAI transformation where engineering quality and engineering governance matter more than day-rate arbitrage
- ✓ Organizations moving beyond GenAI pilots to production-scale agentic AI — EPAM's AI/RUN platform and AWS/Azure/GCP co-developed tooling are built for this transition
- ✓ Firms that tried a cost-led SI and got stuck on technical quality; EPAM is often selected as a remediation or uplift partner
EPAM Systems Cloud Projects
Louis Dreyfus Company — Azure Cloud Transformation (Award-Winning)
Multi-year migration of three global data centers and 1,500+ application servers and databases (SQL and Oracle) to Microsoft Azure. Built three Azure landing zones across Europe, LatAm, and Asia using Cloud Adoption Framework, 80+ Terraform modules, and Azure DevOps. EPAM won the 2023 Microsoft US Partner of the Year Award for Migration to Azure for this engagement.
- → 5 global data centers migrated
- → 210 applications moved to Azure across 100 Azure subscriptions
- → 1,500+ virtual machines migrated with minimal downtime
- → 3 global Azure landing zones established (Europe, LatAm, Asia)
Baker Hughes — GenAI Digital Assistants on AWS (Energy Sector)
In collaboration with AWS, EPAM designed and delivered two GenAI digital assistants for production engineers and field engineers at Baker Hughes within four weeks per pilot. Used Amazon Bedrock with Anthropic Claude 3.5 models. The field-engineer assistant addressed 1,600 annual support requests and an estimated 10,000 expert hours spent on routine questions.
- → 85% accuracy on field-engineer Q&A pilot
- → 200+ pages of technical documents processed
- → Pilot delivered in weeks; repeatable GenAI framework established for future initiatives
Albert Heijn — Agentic AI Assistant on Azure (Retail)
Deployed a production-grade employee-facing virtual assistant embedded in the retailer's staff app using Azure AI Foundry and Azure OpenAI. The assistant handles restocking queries, onboarding, and product/inventory information with multi-turn orchestration and enterprise-grade governance. Won EPAM the 2025 Microsoft Innovate with Azure AI Platform Partner of the Year Award.
- → Production-deployed agentic assistant serving store staff
- → Enterprise governance and observability controls implemented
- → Foundation for enterprise-wide AI transformation program
EBSCO — GenAI Developer Productivity Program
EPAM guided EBSCO's GenAI Adoption Program from November 2023, implementing AI DevEx tooling, governance frameworks, and an AI adoption dashboard. Structured rollout across 50 developers with measurable KPIs on velocity, cycle time, and AI impact.
- → 5–10% increase in development velocity
- → 50 minutes average daily time savings per developer (~10% of working day)
- → AI tooling contributing ~10% of new code monthly
- → Accepted pull requests per month doubled
EPAM Systems Pricing Indication
Pricing varies based on project complexity, duration, and specific requirements. Contact the partner for a detailed quote.
Questions to Ask EPAM Systems
Before engaging with EPAM Systems, here are key questions to help you evaluate fit:
-
→
Delivery Team Composition: " Who specifically will be on the delivery team — names, seniority levels, and current locations? Given EPAM's geographic diversification post-2022, where is the majority of our delivery team based, and does that align with our risk or compliance requirements?"
-
→
Post-Transition Leadership Continuity: " With Balazs Fejes now CEO (September 2025) replacing founder Arkadiy Dobkin, how has the strategic direction or operating model changed? Who is our executive sponsor, and have any senior practice leaders in our domain changed recently?"
-
→
Multi-Cloud vs. Single-Cloud: " Our workload is primarily [AWS/Azure/GCP]. Do you assign a cloud-specific delivery team, or do you rotate generalist engineers across hyperscalers? How do you ensure the engineers working on our Azure estate are Azure-specialized, not generalist cloud engineers?"
-
→
GenAI Platform vs. Custom Build: " You have the EPAM AI/RUN platform. For our GenAI use case, what is productized vs. custom-built? If we use AI/RUN accelerators, do we own the output code, or are there licensing or dependency implications?"
-
→
Pricing and Value Baseline: " Can you provide a reference range for comparable engagements (size, scope, industry)? What outcomes did those clients achieve, and how did the total cost compare to alternatives they considered?"
Red flags to watch for:
- ⚠ Inability to name the specific engineers or architects who would be assigned — large-firm bait-and-switch (sell with senior, deliver with junior) is a real risk at this scale
- ⚠ Vague answers about delivery geography; if your security or compliance requirements restrict where data can be processed or where engineers must be located, get explicit commitments in the contract
- ⚠ Proposing a GenAI pilot with no plan for production scale — EPAM's differentiation is moving AI to production; if the proposal stops at PoC, push for the production architecture and operations plan
- ⚠ One-hyperscaler answer to a multi-cloud question — if your estate spans AWS and Azure and the proposed team is AWS-heavy, that is a delivery risk, not a strength
- ⚠ Overemphasis on EPAM AI/RUN without explaining what happens if you need to move to a different vendor or maintain the system post-engagement
Similar Partners
10th Magnitude
Pure-play Azure partner (now part of Rackspace). Strong technical team and modern practices. Good cultural fit for mid-market and tech companies. Integration with Rackspace expanding capabilities.
3Cloud
The largest pure-play Microsoft Azure consulting firm in the US (prior to its November 2025 acquisition by Cognizant). Founded in 2016 by former Microsoft executives, 3Cloud built a 100% Azure-focused practice across data/AI, app modernization, and cloud infrastructure. Holds Azure Expert MSP status and has won multiple Microsoft Partner of the Year awards including 2025 US Partner of the Year.
66degrees
GCP-specialist with deep data and ML expertise. Excellent for data-intensive workloads and AI/ML projects. Strong technical team and good cultural fit for data-driven organizations.
Related Research
EPAM Systems — frequently asked questions
Is EPAM Systems a good cloud consulting firm?
EPAM Systems is a Global Engineering & Cloud Transformation Partner firm specializing in Cloud Migration, Application Modernization, GenAI / AI Platform across AWS and Azure and GCP, with delivery experience in Financial Services and Software & Hi-Tech. Cloud Intel evaluates firms on partner tier, real case studies, and pricing transparency — not paid placement.
How much does EPAM Systems cost?
EPAM Systems operates in the Enterprise rates; no published pricing. Typical engagements are project- or program-based; staffing/managed-service models available. Expect premium rates comparable to Accenture or Capgemini technical practices — not Indian SI cost-led pricing. pricing range. Final cost depends on project scope, duration, and complexity — contact them directly for a tailored quote.
What is EPAM Systems best known for?
EPAM Systems specializes in Cloud Migration, Application Modernization, GenAI / AI Platform with core delivery across AWS and Azure and GCP. Additional competencies include Data & Analytics, DevOps & Platform Engineering, Cloud Security.
Which industries does EPAM Systems serve?
EPAM Systems primarily serves clients in Financial Services, Software & Hi-Tech, Life Sciences & Healthcare, Retail & Consumer Goods, Energy & Utilities, Media & Entertainment. Buyers in these verticals are typically well-matched to their delivery experience and existing case-study base.
Who should consider EPAM Systems?
EPAM Systems is a strong fit for: Large enterprises with complex, multi-cloud or hybrid estates that require genuine engineering depth across AWS, Azure, and GCP simultaneously; Financial services, life sciences, or hi-tech companies undertaking multi-year cloud + GenAI transformation where engineering quality and engineering governance matter more than day-rate arbitrage; Organizations moving beyond GenAI pilots to production-scale agentic AI — EPAM's AI/RUN platform and AWS/Azure/GCP co-developed tooling are built for this transition.
Key Facts
- Headquarters
- Newtown, PA
- Founded
- 1993
- Team Size
- ~62,850 employees (December 2025); ~56,600 delivery professionals; 15,000+ AWS-experienced engineers; 2,000+ Google Cloud engineers; 5,000+ AWS certifications
- Industries
- Financial Services, Software & Hi-Tech, Life Sciences & Healthcare, Retail & Consumer Goods, Energy & Utilities, Media & Entertainment
- Data Verified
- May 20, 2026
- Data Version
- Q2-2026
Stay updated on EPAM Systems
Get notified when this profile is updated with new scores, pricing, or case studies.