Keylent Inc

www.keylent.com

63 Employees

About the Company

Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space.

Listed Jobs

Company Name: Keylent Inc
Job Title: MLOps / Xops Architect
Job Description: **Job Title** MLOps / XOps Architect **Role Summary** Design, implement, and maintain scalable AI and cloud-native solutions, integrating machine learning models with AWS services and orchestration frameworks. Drive the automation of CI/CD pipelines, secure deployment, and multi‑agent collaboration across dynamic infrastructure. **Expectations** - Deliver production‑ready, secure, and extensible AI workloads in AWS. - Apply IaC, DevOps, and security best practices to support continuous delivery. - Enable rapid prototyping and experimentation for new AI services. - Collaborate with data scientists, backend engineers, and security teams to align architecture with business goals. **Key Responsibilities** 1. Build and maintain Terraform‑based IaC for AWS resources: Bedrock Agents, DynamoDB, Lambda, etc. 2. Design and manage automated CI/CD pipelines for cloud‑native AI applications. 3. Implement IAM roles and policies to enforce least‑privilege access and secure communication between services. 4. Architect multi‑agent orchestration using LangGraph, CrewAI, AutoGen, or equivalent frameworks. 5. Integrate Model Context Protocol (MCP) and AI tool/API patterns into agent workflows. 6. Monitor, troubleshoot, and optimize deployed services for performance, cost, and reliability. 7. Keep up to date with evolving AWS Bedrock AgentRuntime, Memory, Identity, and ToolGateway layers. **Required Skills** - Python 3.11+ for application and agent logic. - Terraform expertise for provisioning production‑level AWS infrastructure. - Proven CI/CD and DevOps experience with cloud‑native pipelines. - Deep knowledge of AWS IAM and secure service communication. - Experience with AWS Bedrock Agents (2025 ecosystem). - Familiarity with LangGraph, CrewAI, AutoGen, or similar multi‑agent orchestration. - Understanding of Model Context Protocol (MCP) and API integration for AI agents. - Ability to learn quickly new AI frameworks and cloud services. **Required Education & Certifications** - Higher education degree in Computer Science, Engineering, or related field (or equivalent experience). - At least one AWS certification: - AWS Certified Solutions Architect – Associate - AWS Certified Developer – Associate - AWS Certified AI Practitioner.

Reading, United states

On site

16-03-2026