Director Enterprise/Sr. Solution Architect - AI Native Mode (18+ yrs)

Epam Systems; Hyderabad, Pune District, Bengaluru; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

EPAM Systems in India is seeking an experienced Solution Architect with deep specialization in AI technologies and enterprise modernization to lead design and delivery of AI-enabled modernization programs. You will work with clients from strategy through delivery on large-scale modernization, cloud transformation, and AI-driven platforms, shaping the future of EPAM's AI Native Modernization practice.

Ideal candidates combine technical depth with consulting flair, strong communication, and a

Qualifications

• Proven experience as a Solution Architect in AI and modernization.
• Hands-on with RAG models in production.
• Expertise in legacy assessment, refactoring, and monolith-to-microservices.
• Strong communication and presentation skills.
• Excellent collaboration and problem-solving abilities.

Responsibilities

• Design and develop AI-driven solutions and agentic platforms.
• Lead modernization initiatives using AI technologies.
• Assess legacy systems and propose modernization strategies.
• Collaborate with cross-functional teams to translate requirements.
• Design migration paths to cloud-native or AI-enabled architectures.
• Ensure integration of AI solutions with current systems.
• Communicate with clients and stakeholders to gather feedback.

Skills

Solution Architect

AI technologies

RAG models

App modernization

Cloud platforms

Monolith to microservices

Communication skills

Team collaboration

Problem solving

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Experience Range (only)-17-27 yrs

Solution Architect/Enterprise Architect

Location: India
Company: EPAM Systems

Join EPAM's rapidly growing AI Native Modernization practice and help global enterprises transform some of their most complex legacy systems into modern, AI-enabled platforms.

We are seeking seasoned architects who thrive in ambiguity, enjoy solving challenging modernization problems, and can engage directly with clients from strategy through delivery. You will work on large-scale modernization initiatives involving legacy applications, cloud transformation, AI-assisted engineering, and enterprise architecture while helping shape the future of our growing practice.

Ideal candidates combine deep technical expertise, consulting experience, modernization leadership, and a passion for leveraging AI to accelerate transformation outcomes.

We are seeking an experienced Solution Architect with deep specialization in AI technologies and Application Modernisation to lead the design and delivery of transformative AI solutions for our clients. This role combines technical expertise in AI architecture with practical experience in modernising legacy systems and evolving enterprise platforms.

Key Responsibilities

• Design and develop AI-driven solutions and agentic platforms that deliver measurable business value
• Lead application modernisation initiatives that incorporate AI technologies to enhance and transform existing systems
• Assess legacy systems and recommend modernisation strategies
• Collaborate with cross-functional teams to understand client requirements and translate them into technical solutions
• Implement and optimize Retrieval-Augmented Generation (RAG) models for enterprise applications
• Conduct research to stay updated on the latest trends and advancements in AI technologies and modernisation patterns
• Design migration pathways from monolithic to microservices, cloud-native, or AI-enabled architectures
• Ensure seamless integration of AI solutions with existing systems and platforms
• Communicate effectively with clients and stakeholders to present solutions and gather feedback

Required Skills and Qualifications

• Proven experience as a Solution Architect, particularly in AI technologies and application modernisation
• Hands-on experience with Retrieval-Augmented Generation (RAG) models in production environments
• Demonstrated expertise in application modernisation, including legacy system assessment, refactoring strategies, and monolith-to-microservices transformation
• Excellent communication and presentation skills
• Strong research skills to stay abreast of the latest AI trends, modernisation patterns, and technologies
• Ability to work collaboratively in a team environment
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with other AI and machine learning frameworks and tools
• Previous experience in developing agentic platforms
• Familiarity with containerization, orchestration, and cloud platforms (Docker, Kubernetes, AWS, Azure, GCP)
• Background in cloud migration and cloud-native architecture design
• Experience with enterprise integration patterns and middleware technologies