Solution / Enterprise Architect- Application Engineering

EPAM Systems

Maharashtra

On-site

INR 4,000,000 - 6,000,000

Full time

24 hours ago
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Job summary

EPAM Systems seeks a Solution/Enterprise/Lead Architect - Application Engineering to shape strategy, govern standards, and drive large-scale managed services programs. You will partner with CXO-level executives to define transformation paths and mentor architecture teams toward excellence.

You will own solution strategy, set governance, and spearhead modernization efforts, including cloud-native design, microservices, event-driven systems, and AI/GenAI-powered solutions, while guiding pre-sales

Qualifications

  • 15+ years in enterprise architecture and solution design.
  • Experience leading large-scale managed services engagements.

Responsibilities

  • Define solution direction and governance for digital transformation programs.
  • Lead architecture work, reviews, and modernization planning across platforms.
  • Secure executive alignment and present roadmaps to CIO/CTO/CXO.
  • Drive pre-sales support, RFP/RFI responses, and client-facing proposals.
  • Oversee a network of architects and engineers across regions.

Skills

Enterprise Architecture
Solution Design
Cloud Platforms
GenAI

Job description

At EPAM, the Solution/Enterprise/Lead Architect - Application Engineering role blends the responsibilities of technology leadership with strategic client partnership. You'll shape solution direction, govern architectural standards, and run large-scale managed services programs. Working directly alongside CXO-level executives, you'll help define transformation pathways while providing guidance and mentorship to architecture and engineering teams striving for excellence.

Responsibilities
  • Establish ownership over solution strategy for expansive digital transformation and managed services initiatives
  • Chart multi-year technology direction, including modern platform design and operational models
  • Confirm that solutions deliver on scalability, resilience, cost efficiency, and business alignment
  • Design and supervise extensive managed services programs, spanning application management, cloud operations, and platform engineering
  • Set SLAs, governance structures, performance tracking systems, and frameworks for ongoing improvement
  • Drive operational excellence by embedding automation, AI/GenAI, and DevOps methodologies
  • Remain actively engaged in architecture work, proof-of-concept development, and technology evaluation
  • Head up technical due diligence efforts, solution evaluations, and modernization planning
  • Champion innovative approaches, including cloud-native design, microservices, event-driven systems, and AI/GenAI-powered solutions
  • Serve as a dependable advisor to CIOs, CTOs, and other C-suite leaders
  • Connect business vision with technical execution by presenting well-defined roadmaps and supporting business cases
  • Spearhead pre-sales activities, RFP/RFI responses, and executive-facing presentations to win new business
  • Direct a network of solution architects, principal engineers, and delivery leaders spanning multiple regions
  • Cultivate a culture rooted in technical rigor, collaborative knowledge sharing, and ongoing skill development
  • Guide senior architects on sound architectural principles, client relationship management, and managed services solution design
Requirements
  • Between 22 and 30 years of cumulative professional experience
  • More than 15 years spent in enterprise architecture, solution design, and direct architectural work
  • Demonstrated success leading extensive managed services engagements spanning multiple years and significant financial scale
  • Thorough understanding of cloud ecosystems (AWS, Azure, GCP), enterprise integration practices, and platform modernization approaches
  • Direct experience with at least one programming language, such as Java, .NET, JavaScript/TypeScript, or Python, combined with GenAI and AI architecture knowledge
  • Solid background in service delivery frameworks, SLA/KPI structures, and governance approaches
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