Integration Architect - #2189019

Zensar Technologies Limited is looking for a seasoned Integration Architect to define, design, and drive scalable, secure, and resilient integration architectures on AWS. The role focuses on serverless solutions, API ecosystems, and Generative AI implementations using Amazon Bedrock, partnering closely with engineering, data, DevOps, and security teams to deliver modern cloud‑native applications.

Responsibilities

• Define and own the integration architecture and technical roadmap for AWS solutions.
• Design scalable, secure, cost‑effective serverless architectures using AWS Lambda and related services.
• Architect Generative AI solutions with Amazon Bedrock and integrate foundation models into enterprise applications.
• Establish API and integration standards (REST, microservices, messaging, event‑driven patterns).
• Guide development teams on implementation, performance optimization, and troubleshooting.
• Define security standards covering IAM, authentication, authorization, encryption, and secrets management.
• Review solution designs to ensure compliance with enterprise architecture and cloud engineering standards.
• Collaborate with application, data, DevOps, security, and AI engineering teams.
• Conduct technical assessments, proof‑of‑concepts, architecture reviews, and support production deployments.
• Identify and drive modernization of legacy integrations using serverless, cloud‑native, and AI‑driven approaches.

Qualifications

• 8–12+ years of IT experience with strong focus on integration architecture and AWS cloud solution design.
• Hands‑on expertise in AWS Lambda, serverless architectures, and related services (API Gateway, EventBridge, SQS/SNS, Step Functions, IAM, CloudWatch).
• Practical experience with Amazon Bedrock and building Generative AI‑enabled solutions.
• Proven ability to design enterprise‑grade API, microservices, and event‑driven integration patterns.
• Deep understanding of cloud security, scalability, resiliency, observability, and performance optimization.
• Proficiency in at least one programming language (Python, Java, Node.js, or TypeScript).
• Amazon Bedrock AgentCore (Runtime, Identity, Gateway): deploying and securing MCP servers and agents
• Agent governance: AgentCore Registry, AgentCore Policy and Amazon Verified Permissions, including Cedar policy authoring
• Experience with infrastructure‑as‑code tools (Terraform, CloudFormation, or AWS CDK).
• Knowledge of containerization (Docker) and orchestration (Kubernetes/EKS) is preferred.
• Familiarity with CI/CD pipelines and DevOps best practices.
• AWS Certified Solutions Architect – Professional or equivalent certification is a plus.

Nice to have

• SAP integration via OData services experience
• Amazon Quick Suite and/or Microsoft Copilot Studio as agent clients
• Strands Agents SDK and AgentCore Memory
• API developer portal