Senior Solution Architect/Solution Architect: Java with AI

EPAM Systems; India; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

EPAM Systems in India seeks an experienced Solution Architect with deep specialization in AI technologies and application modernization to lead the design and delivery of transformative AI solutions for clients. You will drive AI-driven platforms, assess legacy systems, and guide modernization efforts across enterprise environments.

Responsibilities include designing AI-enabled architectures, integrating RAG models, and collaborating with cross-functional teams to meet client requirements.

Qualifications

• Proven experience of 15-20 years as a Solution Architect, with focus on AI and modernization.
• Hands-on with RAG models in production environments.
• Expertise in modernization: legacy assessment, refactoring, monolith-to-microservices.
• Excellent communication and presentation skills.
• Strong research skills to stay current with AI trends and patterns.
• Ability to collaborate effectively in cross-functional teams.

Responsibilities

• Design and deliver AI-driven solutions and agentic platforms delivering business value.
• Lead modernization initiatives to enhance existing systems with AI technologies.
• Assess legacy systems and craft modernization strategies for AI integration.
• Collaborate with cross-functional teams to translate requirements into technical designs.
• Implement and optimize retrieval-augmented generation (RAG) models for enterprise apps.
• Stay updated on AI trends and modernization patterns through ongoing research.
• Design migration paths from monoliths to microservices or cloud-native architectures.
• Ensure seamless integration of AI solutions with current platforms.
• Present solutions to clients and gather feedback from stakeholders.

Skills

AI architecture

Application modernization

RAG models

Communication skills

Research skills

Team collaboration

Problem solving

Tools

TensorFlow

PyTorch

Docker

Kubernetes

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

• Background in cloud migration and cloud-native architecture design
• Experience with enterprise integration patterns and middleware technologies
• Experience with hybrid or multi-cloud environments
• Familiarity with FinOps, observability, and cloud governance
• Background in supporting production workloads with high availability and disaster recovery considerations
• Experience with Hybris ecommerce