AI DevOps Engineer

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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 infrastructure
  for AI and LLM-based applications in production environments.
• Build and maintain Infrastructure-as-Code (IaC)
  using tools such as Terraform for secure, repeatable, and auditable
  deployments.
• Deploy, manage, and scale containerized
  environments using Kubernetes with a focus on high availability and
  reliability.
• Implement DevOps, Platform Engineering, and SRE
  best practices to improve system reliability, scalability, and operational
  efficiency.
• Support AI platform services for model serving,
  inference, experimentation, and evaluation workflows.
• Deploy and maintain infrastructure supporting AI
  agents, orchestration frameworks, and LLM runtime dependencies.
• Design and manage vector database infrastructure
  including Pinecone, Weaviate, or PostgreSQL with pgvector for RAG and
  semantic search use cases.
• Enable AI developer platforms and tooling for
  engineering teams building AI-powered applications.
• Implement monitoring, alerting, logging, and
  incident response processes for mission-critical AI systems.
• Collaborate with security, compliance, and
  governance teams to ensure adherence to regulatory and enterprise security
  standards.
• Continuously improve automation, developer
  experience, 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, Platform
  Engineer, or Site Reliability Engineer (SRE).
• Strong hands-on experience managing large-scale
  production infrastructure.
• Expertise with Terraform and Infrastructure-as-Code
  (IaC) methodologies.
• Strong experience deploying and operating
  Kubernetes-based environments.
• Experience supporting infrastructure for AI
  platforms or LLM-based applications.
• Strong understanding of automation, scalability,
  reliability, and cloud-native architectures.

Preferred
Qualifications

• Experience supporting production-grade LLM
  applications and AI agent workloads.
• Hands-on experience with vector databases such as
  Pinecone, Weaviate, or pgvector.
• Experience building or supporting AI tooling and
  internal AI developer platforms.
• Knowledge of observability, monitoring, capacity
  planning, and reliability engineering for AI/ML systems.
• Experience working within financial services or
  other highly regulated industries.
• Strong communication and cross-functional
  collaboration skills.

Benefits

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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