Senior Solution Architect/Solution Architect: Java

EPAM Systems; Hyderabad; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

EPAM Systems Hyderabad seeks an experienced Solution Architect with deep specialization in AI technologies and application modernization to lead design and delivery of transformative AI solutions for clients. You will shape architectures that blend AI capabilities with modernized enterprise platforms.

You will guide RAG-driven implementations, migrate from monoliths to microservices, and collaborate with cross-functional teams to translate client requirements into scalable technical solutions.

Qualifications

• 15–20 years of experience as a Solution Architect specializing in AI and modernization.
• Hands-on experience deploying RAG models in production.
• Proven ability to modernize legacy systems and refactor monoliths to microservices.
• Excellent communication and stakeholder management.
• Strong research capability to follow AI trends and patterns.
• Ability to collaborate across multi-disciplinary teams.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and develop AI-driven solutions and agentic platforms that deliver measurable business value.
• Lead application modernization initiatives that incorporate AI technologies to enhance and transform existing systems.
• Assess legacy systems and recommend modernization strategies that enable AI integration.
• 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 modernization 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.

Skills

AI architecture

RAG models

App modernization

Cross-functional work

Research skills

Communication

Problem solving

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

Job description

We are seeking an experienced Solution Architect with deep specialization in AI technologies and Application Modernization 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 modernizing legacy systems and evolving enterprise platforms.

Responsibilities

• Design and develop AI-driven solutions and agentic platforms that deliver measurable business value
• Lead application modernization initiatives that incorporate AI technologies to enhance and transform existing systems
• Assess legacy systems and recommend modernization strategies that enable AI integration
• 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 modernization 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

• Proven experience of 15-20 years as a Solution Architect, particularly in AI technologies and application modernization
• Hands-on experience with Retrieval-Augmented Generation (RAG) models in production environments
• Expertise in application modernization, 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, modernization patterns, and technologies
• Ability to work collaboratively in a team environment
• Strong problem‑solving and analytical skills

Nice to have

• Familiarity with AI and machine learning frameworks and tools such as TensorFlow, PyTorch, and scikit-learn
• Previous experience in developing agentic platforms
• Familiarity with containerization, orchestration, and cloud platforms such as Docker, Kubernetes, and AWS, Azure, GCP
• Background in cloud migration and cloud-native architecture design
• Experience with enterprise integration patterns and middleware technologies
• Experience with hybrid or multi-cloud environmentsFamiliarity with FinOps, observability, and cloud governance
• Background in supporting production workloads with high availability and disaster recovery considerations
• Experience with Hybris ecommerce