Solution / Enterprise Architect- Application Engineering

EPAM Systems; Coimbatore District; On-site; INR 4,500,000 - 8,500,000; Full time

Job summary

EPAM Systems is seeking a Solution/Enterprise/Lead Architect - Application Engineering in India. You will blend technology leadership with strategic client partnership, shaping solution direction, governing architectural standards, and overseeing large-scale managed services programs.

You will mentor architecture and engineering teams, drive modernization, AI/GenAI-powered solutions, and cloud-native designs while engaging with CIO/CTO-level leadership to align business and technology roadmaps.

Qualifications

• Extensive enterprise architecture and solution design experience.
• Proven leadership of large managed services engagements.
• Strong cloud expertise across AWS, Azure, and GCP and modernization approaches.

Responsibilities

• Own solution strategy for large digital transformation and managed services.
• Define multi-year technology direction and platform design.
• Lead governance, SLAs, KPIs, and performance tracking.
• Drive automation, AI/GenAI, and DevOps adoption.
• Guide senior architects and delivery leaders across regions.
• Support pre-sales, RFP/RFI responses, and client presentations.
• Mentor architecture and engineering teams.

Skills

Enterprise architecture

Solution design

GenAI/AI architecture

Cloud platforms

DevOps

Pre-sales

Leadership & mentoring

Tools

Java

.NET

JavaScript/TypeScript

Python

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