AI DevOps Engineer

Job Description
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Role: AI DevOps Engineer

Location: New York, NY


Work Mode: (Hybrid - 3-4 Days Onsite per Week)


Type: Contract

Industry: Financial Services

Requirements

About the Role

Our client is seeking a highly skilled AI DevOps Engineer to design, build, and operate scalable, secure, and production-grade infrastructure supporting modern AI platforms and LLM-powered applications.

This role sits at the intersection of DevOps, Platform Engineering, Site Reliability Engineering (SRE), and AI Infrastructure , enabling high-performance AI systems, agent-based workflows, and enterprise AI platforms within a regulated financial services environment.

The ideal candidate will have strong expertise in Kubernetes, Terraform, cloud infrastructure, automation, and AI platform operations , along with experience supporting modern AI/LLM workloads in production environments.

Key Responsibilities

• Design, deploy, and manage scalable infrastructurefor AI and LLM-based applications in production environments.
• Build and maintain Infrastructure-as-Code (IaC)using tools such as Terraform for secure, repeatable, and auditabledeployments.
• Deploy, manage, and scale containerizedenvironments using Kubernetes with a focus on high availability andreliability.
• Implement DevOps, Platform Engineering, and SREbest practices to improve system reliability, scalability, and operationalefficiency.
• Support AI platform services for model serving,inference, experimentation, and evaluation workflows.
• Deploy and maintain infrastructure supporting AIagents, orchestration frameworks, and LLM runtime dependencies.
• Design and manage vector database infrastructureincluding Pinecone, Weaviate, or PostgreSQL with pgvector for RAG andsemantic search use cases.
• Enable AI developer platforms and tooling forengineering teams building AI-powered applications.
• Implement monitoring, alerting, logging, andincident response processes for mission-critical AI systems.
• Collaborate with security, compliance, andgovernance teams to ensure adherence to regulatory and enterprise securitystandards.
• Continuously improve automation, developerexperience, and operational processes for AI infrastructure environments.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering,or equivalent practical experience.
• Proven experience as a DevOps Engineer, PlatformEngineer, or Site Reliability Engineer (SRE).
• Strong hands-on experience managing large-scaleproduction infrastructure.
• Expertise with Terraform and Infrastructure-as-Code(IaC) methodologies.
• Strong experience deploying and operatingKubernetes-based environments.
• Experience supporting infrastructure for AIplatforms or LLM-based applications.
• Strong understanding of automation, scalability,reliability, and cloud-native architectures.

Preferred Qualifications

• Experience supporting production-grade LLMapplications and AI agent workloads.
• Hands-on experience with vector databases such asPinecone, Weaviate, or pgvector.
• Experience building or supporting AI tooling andinternal AI developer platforms.
• Knowledge of observability, monitoring, capacityplanning, and reliability engineering for AI/ML systems.
• Experience working within financial services orother highly regulated industries.
• Strong communication and cross-functionalcollaboration skills.

Benefits

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