Lead AWS Devops Engineer with AI

AI Agent Development Agent/Skill Creation Retrieval-Augmented Generation (RAG) GenAI Evaluation & Monitoring Cloud / DevOps: Docker Kubernetes Helm Charts CI/CD Pipelines GitLab CI Blue-Green Deployments Canary Deployments Feature Flags Automated Rollbacks Programming / Engineering: Software Architecture & Design Enterprise Application Development Automation Development API Integrations Distributed Systems Troubleshooting Observability: Monitoring Alerting Tracing Operational Telemetry Dashboard Development Data / Analytics: SQL ETL Processes Data Warehousing Snowflake (Preferred) Reporting / BI: Power BI Streamlit Tableau Documentation: Technical Writing Architecture Documentation, We are seeking an ML Engineer II to design, build, deploy, and support enterprise-scale Generative AI software solutions in high-availability environments., Design, architect, and deploy GenAI-enabled software solutions Build AI agents and reusable GenAI components Develop RAG-based applications and LLM orchestration workflows Create automation for release operations and engineering workflows Build containerized applications using Docker and Kubernetes Author Helm charts and manage deployments Build and maintain GitLab CI/CD pipelines Develop dashboards and operational reporting Implement monitoring, alerting, tracing, and telemetry solutions Troubleshoot production issues across applications, infrastructure, APIs, and distributed systems Mentor junior engineers and contribute to technical decisions Implement AI engineering standards, governance, and security guardrails Produce technical and architecture documentation Collaborate with Product, Platform Engineering, SRE, Security, UX, and Engineering teams, Lead DevOps Engineer is responsible for designing, implementing, and optimizing cloud native infrastructure and CI/CD automation across mission critical systems. This role combine…

• 6 hours ago
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Bachelor’s Degree + 4 years related experience OR Advanced Degree + 2 years experience Degree in Computer Science or Engineering 4 7 years of technical engineering experience Hands-on experience building and shipping production GenAI applications Experience with AI agents, RAG, and LLM-based systems Experience with Kubernetes, Docker, Helm, and CI/CD Experience with SQL, ETL, and Data Warehousing Experience creating dashboards and reporting solutions Experience mentoring engineers and working cross-functionally