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Ai Developer Operations Engineer Jobs in Secaucus, NJ

Alignity Solutions

AI DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

This role sitsat the intersection of DevOps, Platform Engineering, Site ReliabilityEngineering (SRE), and AI Infrastructure , enabling high-performance AIsystems, agent-based workflows, and ...

Deloitte

DevOps Engineer III

Morristown, NJ · On-site

$54.25 - $74.25/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

New York, NY · On-site

$57.75 - $79/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

YO AI Labs

DevOps Engineer - Remote

New York, NY · Remote

$57.75 - $79/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

High 5 Games

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

You'll play a key role in scaling AI models from research to production - ensuring smooth ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

High 5 Games

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

You'll play a key role in scaling AI models from research to production - ensuring smooth ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

Socket.dev

DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

Use AI-assisted engineering tools, coding copilots, and AI-driven troubleshooting to improve DevOps productivity and reduce repetitive operational work. * Evaluate and adopt practical AI-enabled ...

High 5 Games

DevOps Engineer

New York, NY · Remote

$54 - $74/hr

You'll play a key role in scaling AI models from research to production -- ensuring smooth ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

High 5 Games

DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

You'll play a key role in scaling AI models from research to production -- ensuring smooth ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

Doctronic

DevOps Engineer

Manhattan, NY · On-site

$180K - $240K/yr

DevOps Engineer Where Medicine Meets Intelligence Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan ...

Doctronic Inc.

DevOps Engineer

Manhattan, NY · On-site

$180K - $240K/yr

Doctronic is the first AI legally authorized to practice medicine, processing millions of ... About the Role We're looking for a DevOps Engineer to own our infrastructure. We are ...

Tavily Inc

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to ... The Role: DevOps Engineer * Managing Kubernetes clusters across multiple environments and regions

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

Day - 08 Hour (United States of America) We are seeking a high-caliber Senior AI Platform & ML Ops ... DevOps (Kubernetes, Terraform, DevOps orchestration) with Agentic Application Development ...

WalkMe

DevOps Engineer

New York, NY · Hybrid

$57.75 - $79/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

Cyera

DevOps Engineer

New York, NY · On-site +1

$160K - $200K/yr

That foundation is now the essential AI trust infrastructure for the Fortune 1000. We're hiring ... THE OPPORTUNITY We are seeking a highly skilled DevOps Engineer to join our fast-growing data ...

StackAI

Senior DevOps Engineer

New York, NY · On-site

$220K - $260K/yr

About Stack AI Stack AI is building cutting-edge infrastructure at the intersection of AI and ... As we grow, we're looking for a Senior DevOps Engineer who can design, build, and manage the ...

Adidev Technologies Inc

DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

Job Advertisement - DevOps Engineer We are a fast‑growing technology company focused on delivering reliable, scalable, and secure cloud‑native applications to enterprise clients. Our engineering ...

Adidev Technologies Inc

DevOps Engineer

Manhattan, NY

$57.75 - $79.25/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

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All JobsAi Developer Operations Engineer JobsAi Developer Operations Engineer Jobs in Secaucus, NJ

Ai Developer Operations Engineer information

See Secaucus, NJ salary details

$36.6K

$86.4K

$137.3K

How much do ai developer operations engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ai developer operations engineer in Secaucus, NJ is $86,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $95,600.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

What cities near Secaucus, NJ are hiring for Ai Developer Operations Engineer jobs?

Cities near Secaucus, NJ with the most Ai Developer Operations Engineer job openings:

Ai Developer Operations Engineer jobs near you

AI DevOps Engineer

Manhattan, NY • On-site

Alignity Solutions
IT Services • 11 - 50 employees
Learn more about Alignity Solutionsexternal

$58.25 - $79.75/hr

Other

Posted 4 days ago

Job description

Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.

If you are a Field Service Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Location: NewYork, NY

Type: Contract

Requirements

About theRole

Our client is seekinga highly skilled AI DevOps Engineer to design, build, and operatescalable, secure, and production-grade infrastructure supporting modern AIplatforms and LLM-powered applications.

This role sitsat the intersection of DevOps, Platform Engineering, Site ReliabilityEngineering (SRE), and AI Infrastructure, enabling high-performance AIsystems, agent-based workflows, and enterprise AI platforms within a regulatedfinancial services environment.

The idealcandidate will have strong expertise in Kubernetes, Terraform, cloudinfrastructure, automation, and AI platform operations, along withexperience supporting modern AI/LLM workloads in production environments.

KeyResponsibilities

  • 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.

RequiredQualifications

  • 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.

PreferredQualifications

  • 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.
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