Solution / Enterprise Architect- Application Engineering

EPAM Systems; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

EPAM Systems in India seeks a seasoned enterprise architect to define and govern multi-year digital transformation and managed services programs across geographies.

You will drive technology roadmaps, modern platform architectures, and operating models; lead CXO-level engagements with clear roadmaps and business cases to win new opportunities. The role emphasizes AI/GenAI, automation, and DevOps-driven delivery while mentoring a global team of architects and engineers.

Qualifications

• 15+ years in enterprise architecture and solution design.
• Led large-scale managed services programs with multi-year scope.
• Hands-on architecture and modernization experience.
• Experience with AI/GenAI integration in enterprise environments.
• Proven ability to engage with CXO-level executives and drive deals.

Responsibilities

• Define and own the solution strategy for large-scale digital transformation and managed services programs.
• Drive multi-year technology roadmaps, modern platform architectures, and operating models.
• Architect and oversee large-scale managed services engagements, including cloud operations and platform engineering.
• Define SLAs, governance models, performance monitoring, and continuous improvement frameworks.
• Lead pre-sales, RFP/RFI responses, and executive-level presentations to secure new opportunities.
• Lead a community of solution architects, principal engineers, and delivery leads across geographies.
• Mentor senior architects on architecture best practices, client engagement, and solutioning.

Skills

Enterprise Architecture

Solution Design

Cloud Platforms (AWS/Azure/GCP)

GenAI / AI Architecture

Programming (Java/.NET/JS/Python)

SLA/KPI Governance

CXO Stakeholder Engagement

Pre-sales / RFPs

MLOps / AIOps

Job description

Responsibilities

Define and own the solution strategy for large-scale digital transformation and managed services programs Drive multi-year technology roadmaps, modern platform architectures, and operating models Ensure solutions are scalable, resilient, cost-efficient, and aligned with business objectives Architect and oversee large-scale managed services engagements, including application management, cloud operations, and platform engineering Define SLAs, governance models, performance monitoring, and continuous improvement frameworks Ensure operational excellence through automation, AI/GenAI, and DevOps-driven practices Stay hands-on with architecture, proof-of-concepts, and technology exploration Lead technical due diligence, solution assessments, and modernization strategies Advocate for innovation, including cloud-native, microservices, event-driven architectures, and AI/GenAI-enabled solutions Act as a trusted advisor to CIOs, CTOs, and other CXO-level executives Bridge business strategy with technology execution, presenting clear roadmaps and business cases Lead pre-sales, RFP/RFI responses, and executive-level presentations to secure new business opportunities Lead a community of solution architects, principal engineers, and delivery leads across multiple geographies Foster a culture of technical excellence, knowledge sharing, and continuous learning Mentor senior architects on architecture best practices, client engagement, and managed services solutioning

Requirements

22-30 years of overall experience 15+ years of experience in enterprise architecture, and solution design, hands-on architecture. Proven track record in leading large-scale managed services programs (multi-year, multi-million-dollar engagements) Deep knowledge of cloud platforms (AWS, Azure, GCP), enterprise integration, and platform modernization Hands-on experience with at least one programming language (Java, .NET, JavaScript/TypeScript, or Python) along with GEN AI, AI architecture Strong expertise in service delivery models, SLAs/KPIs, and governance frameworks Experience with AI/GenAI integration in managed services (automation, predictive analytics, conversational AI, knowledge management), Implementing AI solutions hands-on. GenAI orchestration frameworks (LangChain, LlamaIndex, Langgraph,Azure OpenAI, AWS Bedrock), Vector DB Demonstrated ability to interact with and influence CXO-level executives Proven experience in IT consulting or global delivery organizations Excellent leadership, communication, and presentation skills Nice to have Experience with AIOps, MLOps, and intelligent automation Strong business acumen to participate in contract negotiations, service pricing, and P&L discussions Thought leadership (public speaking, whitepapers, or blogs in architecture and AI/GenAI)