Job Summary : Kansoft is looking for an experienced AWS AgentCore Engineer to build and operationalize the foundation of a governed Enterprise AI Platform on AWS. The role focuses on developing scalable, secure, and production-ready AI agent infrastructure using AWS AgentCore and Amazon Bedrock, enabling enterprises to build, deploy, manage, and monitor AI agents at scale.Key Responsibilities : - Design, build, and maintain the foundational architecture of an enterprise-grade AI agent platform using AWS AgentCore and Amazon Bedrock.- Configure and manage agent runtimes, agent registry, deployment workflows, scaling, and lifecycle management.- Develop and deploy AI agents with secure runtime environments, session management, and appropriate resource isolation.- Integrate Amazon Bedrock foundation models with AI agents, tools, enterprise data sources, and business applications.- Implement agent authentication, authorization, identity management, access controls, and secure credential handling.- Build reusable frameworks and components to support agent registration, versioning, deployment, updates, rollback, and retirement.- Enable secure agent-to-tool connectivity using Model Context Protocol (MCP) and related integration patterns.- Integrate AI agents with enterprise platforms such as ServiceNow, Microsoft 365, SAP SuccessFactors, legal repositories, and other business applications.- Implement guardrails, policy enforcement, human approval workflows, audit trails, and emergency kill-switch mechanisms.- Collaborate with platform engineering and DevOps teams to implement Infrastructure as Code (IaC), CI/CD pipelines, automated testing, and release management.- Establish observability using Amazon CloudWatch, OpenTelemetry, CloudTrail, logs, metrics, tracing, and operational dashboards.- Monitor agent performance, reliability, latency, resource utilization,



and operational costs; support FinOps and optimization initiatives.- Troubleshoot runtime failures, integration issues, access errors, scaling challenges, and production incidents.Required Technical Skills : - Strong hands-on experience with AWS AgentCore and its relevant capabilities, including AgentCore Runtime, Gateway, Identity, Memory, and related services.- Experience with Amazon Bedrock, foundation models, agent development, tool calling, and agent orchestration.- Solid AWS cloud fundamentals, including IAM, VPC, networking, security, monitoring, and resource management.- Experience building and deploying production-grade AI agents and integrating them with enterprise systems.- Knowledge of MCP architecture, MCP servers, tool integration, and secure connectivity patterns.- Experience with Python and API development, including REST APIs and service integrations.- Familiarity with Infrastructure as Code tools such as AWS CDK, CloudFormation, or Terraform.- Experience with CI/CD pipelines, Git-based version control, automated deployment, and rollback strategies.- Knowledge of identity management, least-privilege access, secrets management, encryption, and enterprise security controls.- Experience with observability, distributed tracing, logging, metrics, and production troubleshooting.- Understanding of AI governance, guardrails, auditability, responsible AI practices, and operational controls.What We Are Looking For : - A hands-on engineer who can build and operationalize AI agent infrastructure rather than focus solely on AI research or prompt engineering.- Strong problem-solving and troubleshooting skills.- Ability to work collaboratively with AI engineering, cloud infrastructure, security, and DevOps teams.- Good communication skills and the ability to document technical solutions and transfer knowledge. (ref:hirist.tech)

📌 AWS AgentCore Engineer - AI Platform (India)
🏢 Kansoft Solutions
📍 India