The AI DevOps Engineer will design, deploy, and manage scalable AI infrastructure, focusing on automation, security, and high performance while ensuring compliance within financial services.
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.
- Jobseeker Video Testimonials
- Employee Glassdoor Reviews
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.
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.
CEO Message: Click Here
Clients Testimonial: Click Here
Similar Jobs
Marketing Tech • Analytics
Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.
Top Skills:
AksAnsibleAzure DevopsAzure MonitorBashDockerEksGenerative AiGkeGoogle Cloud Platform (Gcp)GrafanaJenkinsKubernetesLarge Language Models (Llms)LinuxAzureOpenshiftPowershellPrometheusPythonVector Databases
eCommerce • Food • Pet
Lead planning and execution of regional brand activations across the Northeast: source venues, coordinate vendors/staffing, manage logistics and budgets, localize national campaigns, build partner relationships, serve as regional stakeholder contact, and provide on-site support (significant regional travel).
eCommerce • Food • Pet
Lead planning and execution of regional brand activations across the Southeast: venue sourcing, vendor coordination, on-site logistics, budget management, partner relationships, localizing national campaigns, and serving as primary regional stakeholder contact while traveling frequently to support events.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
