Back to SearchSolutions Architect (AI Native SDLC)
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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.
- 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
- 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
- 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