LLM Integration & CI/CD Engineer-- Senior Associate-AI Managed Services - Consult
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Job Description
Structured overview of role & requirementsAbout This Role
Design and manage automation frameworks and CI/CD pipelines specifically for AI solution deployments on AWS.
Lead integration and deployment of LLM and AI solutions ensuring security, governance, scalability, and observability in production.
Mentor engineering team members and own deployment architecture and standards across engagements within forward-deployed, client-embedded teams.
Minimum Requirements
6-9 years work experience in DevOps or platform engineering roles with production deployment ownership.
Strong expertise in CI/CD tools (GitHub Actions, Jenkins, ArgoCD), Docker, Kubernetes, Terraform and AWS services including Bedrock, SageMaker, Lambda, ECS, EKS.
Deep knowledge of identity, security, networking, and enterprise integrations relevant to regulated and legacy environments.
Hands-on experience with LLMOps deployments including model serving, scaling, retrieval infrastructure, observability, and responsible AI controls.
Ideal Candidate Profile
Experienced in forward-deployed consulting environments working embedded with enterprise customers, handling complex AI deployment challenges.
Demonstrates operational ownership, clear stakeholder communication, and ability to lead and mentor engineering teams.
Skilled in building scalable, secure AI deployment architectures with strong focus on automation, cost management, and compliance with responsible AI principles.