Solutions Architect (AI Native SDLC)

EPAM Systems is a leading global provider of digital platform engineering and software development services. We help global enterprises innovate, build and transform their core businesses through technology.

Join our AI-Centric Delivery practice as a Solutions Architect. You will design and deliver enterprise solution architectures where AI serves as a foundational engineering capability. Combine your architectural expertise with hands-on application to build AI-augmented software development lifecycle (SDLC) workflows, agentic systems and LLM-powered delivery tooling.

This execution-oriented role empowers you to define technical direction, validate architectures through personal prototyping and work alongside engineering teams during implementation to drive real impact.

Apply today and be eligible for a one-month sign-on bonus.*

*Terms & Conditions apply.

Responsibilities

• Design and implement cloud infrastructure solutions using the AWS CDK with a focus on best practices and robust security measures
• Develop and manage AWS cloud platforms and services
• Write and manage Infrastructure as Code (IaC) using Java with the AWS Cloud Development Kit
• Migration of code from Terraform or CFT to AWS CDK
• Automation of platform provisioning with AWS Java CDK
• Build serverless and cloud-native services including Lambda functions, SNS, SQS, DynamoDB, API Gateway, Step Functions, S3, IAM, CloudWatch, CloudTrail and KMS
• Automate processes using AWS orchestration tools such as Java, CDK, Terraform and CloudFormation
• Handle various data formats and data types with the use of loops and conditional statements
• Perform unit testing and debugging of applications
• Build small GenAI-enabled applications, AI workflows, chatbots, copilots or automation solutions using LLM APIs and orchestration frameworks

Requirements

• 5 to 12 years of overall experience
• Over 5 years of experience in developing and managing AWS cloud platforms and services
• Expertise in designing and implementing cloud infrastructure solutions using the AWS CDK with best practices and security measures
• Proficiency in writing and managing Infrastructure as Code (IaC) using Java with the AWS Cloud Development Kit
• Hands-on experience in automating platform provisioning with AWS Java CDK and migrating code from Terraform or CFT to AWS CDK
• Comprehensive development skills in serverless and cloud-native services including Lambda functions, SNS, SQS, DynamoDB, API Gateway, Step Functions, S3, IAM, CloudWatch, CloudTrail and KMS
• Capability to automate processes using AWS orchestration tools such as Java, CDK, Terraform and CloudFormation
• Proficiency in handling various data formats including JSON, YAML and files along with data types such as strings, numbers, arrays and tuples
• Strong unit testing and debugging capabilities
• Skills in Source Code Management tools such as GitLab, GitHub, Bitbucket and AWS CodeCommit
• Understanding of Generative AI concepts, LLMs and prompt engineering with practical enterprise use cases
• Hands-on exposure to AI platforms and services such as OpenAI, Anthropic Claude and AWS Bedrock or similar cloud-native GenAI offerings
• Familiarity with orchestration frameworks such as LangChain, LangGraph and Semantic Kernel along with AI-assisted engineering tools such as GitHub Copilot, ChatGPT and Cursor

Nice to have

• Hands-on development experience in Docker and Container Orchestration using Kubernetes on AWS EKS or AWS ECS
• Production experience with NoSQL data stores, AWS Elastic Cache, RDS and DynamoDB
• Familiarity with AWS Core Services such as EC2, Autoscaling and Load Balancers along with Route53, S3, IAM and VPC
• Capability to write scripts in Linux, shell or Python and use Configuration Management tools like Ansible, Chef or Puppet
• Experience with Build Automation Servers such as Jenkins, GitLab CI and Sonar along with Elasticsearch, Logstash and Kibana stacks