Lead/Senior Solution Architect - AI Modernisation

EPAM Systems; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems in India is seeking a Lead/Senior Solution Architect to design and deliver AI-driven, modernised solutions for global clients. You will lead the design and implementation of AI-enabled architectures, including RAG models, while guiding legacy systems transformation and cloud-native migrations.

The role demands 14+ years in IT, deep expertise in AI technologies, strong communication, and collaboration skills to drive cross-functional workstreams.

Qualifications

• 14+ years of IT experience with proven Solution Architect experience in AI and modernisation.
• Hands-on experience with Retrieval-Augmented Generation (RAG) models in production.
• Expertise in application modernisation including legacy assessment, refactoring, and monolith-to-microservices.

Responsibilities

• Design and deliver AI-driven solutions and agentic platforms with measurable business value.
• Lead modernisation initiatives that incorporate AI technologies to transform existing systems.
• Assess legacy systems and recommend modernisation strategies.
• Collaborate with cross-functional teams to translate client requirements into technical designs.
• Implement and optimise RAG models for enterprise applications.
• Stay updated on AI trends and modernisation patterns.

Skills

AI architecture

Solution Architect

RAG models

Application Modernisation

Legacy assessment

Refactoring

Monolith to microservices

Communication

Presentation

Research

Team collaboration

Problem solving

English (B2+)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

We're looking for a Lead/Senior Solution Architect to join our growing team in India and help design cutting-edge solutions for global clients. We are seeking an experienced Lead/Senior professional with deep specialization in AI technologies and Application Modernisation to lead the design and delivery of transformative AI solutions. This role combines technical expertise in AI architecture with practical experience in modernising legacy systems and evolving enterprise platforms.

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

Requirements

• 14+ years of general IT experience, including 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
• Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have

• 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