Jobs in the United States

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Added 2 mins ago
DC
Deployment Engineer
Decca Consulting LLC
boston, MA
- $50 USD / week
We are seeking a skilled Windows Application Packaging and Deployment Engineer to take ownership of our enterprise software lifecycle. In this role, you will analyze, customize, package,…
Added 12 mins ago
Engineering Associate III
Lower Colorado River Authority (LCRA)
Austin, TX
LCRA's NERC compliance group is seeking an electrical engineer to join our team! Your expertise will contribute to keeping our generation facilities in line with national and state…
Added 18 mins ago
D
Growth Engineer
Dust
New York, NY
- $100,000 to $200,000 USD / year
- Software engineer first. Strong engineering fundamentals, ideally full-stack (TypeScript/React + backend). You write clean, production-grade code.
Added 23 mins ago
B
Staff Software Engineer, Ecosystem
Boulevard
Remote, United States
- $193,900 to $225,000 USD / year
…alongside them so they can focus on what they do best. As a Staff Software Engineer on the Ecosystem team, you’ll set the technical direction for Boulevard’s external developer platform and…
Added 33 mins ago
Cyber Full-Stack Technical Software Engineer
Deloitte
Kansas City, MO
…resilience, grow with confidence, and proactively manage their security…
Added 37 mins ago
SR
Electrical Designer / Project Manager
STRM Recruiting
Portland, OR
- $90,000 to $170,000 USD / year
…industrial control systems, lighting, communications, and fire alarm/security systems. You will be a trusted client contact, managing expectations and coordinating quality…
Added 40 mins ago
Electrical Engineer II (5925)
Honeywell
Kansas City, MO
You Must Have
Added 52 mins ago
Software Engineer I
RTX
United States
Qualifications You Must Have:
Added 57 mins ago
Sr. Software Engineer - Design and R&D
General Motors LLC
Warren, MI
…through production design. We are seeking a highly motivated Sr. Software Engineer to develop data-intensive and AI-enabled applications supporting Global Design and Research & Development…
Added 57 mins ago
Sr. Systems Engineer - Design and R&D
General Motors LLC
Warren, MI
…production design. We are seeking a highly motivated Sr. Systems Engineer to define, analyze, integrate, and evolve AI-enabled systems that support Global Design and Product Development…
Added 1 hour ago
Cyber Full Stack Senior Consultant
Deloitte
Kansas City, MO
+ Embedding governance into software development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
Added 1 hour ago
Signal Integrity HDE, PCIe & Signal Integrity Team
Amazon Data Services, Inc.
Seattle, WA
You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help…
Added 1 hour ago
Cyber Forward Deployed Engineer - Manager
Deloitte
Kansas City, MO
…resilience, grow with confidence, and proactively manage their security…
Added 1 hour ago
Design Project Manager (Architect)
Aviation Enterprise
United States
Reviews construction progress reports, shop drawings, material lists, and samples. Coordinate reviews with the engineer/architect of record on contractor-submitted items to confirm design…
Added 1 hour ago
Release Train Engineer
Regions Bank
Charlotte, NC · Birmingham, AL · Atlanta, GA
At Regions, the Release Train Engineer manages and optimizes the flow of value through the Agile Release Train. An Engineer at this level leads Agile Release Trains (ART), resolves and…
Added 1 hour ago
Senior Platform Engineer (Crossplane)
Jobgether
Remote, United States
The Senior Platform Engineer will design, build, and operate cloud-native infrastructure supporting a large-scale data platform processing approximately 400,000 pipelines every day. This…
Added 1 hour ago
Senior AI & MLOps Engineer
Jobgether
Remote, United States
As a Senior AI & MLOps Engineer, you will play a key role in deploying and managing advanced AI-powered solutions across enterprise cloud environments. You will work at the intersection of…
Added 1 hour ago
J
Security Engineer (SOC 2 / HIPAA) | GovTech
Jobgether
Remote, United States
- $14,583 to $17,500 USD / month
Must be based in the United States
Added 1 hour ago
Government Cloud Security Engineer
SpaceXSI
Austin, TX · NY · Palo Alto, CA · Washington, DC
We are seeking a skilled Government Cloud Security Engineer to design, implement, and maintain robust security controls across our Federal environments (including hybrid and multi-cloud…
Added 1 hour ago
Senior Propulsion Engineer- Components
Varda Space Industries
El Segundo, CA
Varda is hiring an experienced Senior Propulsion Engineer- Components to join the team that designs, builds, tests, and flies the fluid components on the W-Series satellite bus and future…
Added 1 hour ago
Principal Propulsion Engineer- Components
Varda Space Industries
El Segundo, CA
Varda is hiring an experienced Principal Propulsion Engineer- Components to join the team that designs, builds, tests, and flies the fluid components on the W-Series satellite bus and…
Added 1 hour ago
Solutions Engineer, AI Data
SimpleClosure
New York City, NY
- Flexible hybrid work environment in New York City, Midtown (currently 2 days per week in office)
Added 1 hour ago
Mid-level Mechanical Design Engineer, Level 2-3
Zulu Pods
Northampton, MA
Zulu Pods is seeking a mid-level mechanical design engineer in our Northampton, Massachusetts location. The selected individual will continue developing our patented ZPOD technology as well…
Added 1 hour ago
Electronic Security Systems Engineer
VTG
Pearl City, HI
VTG is seeking an Electronic Security Systems Engineer to support our customer in Pearl City, Hawaii.
Added 2 hours ago
GxP Lab Computing Engineer
Zifo
Waltham, MA
The Zifo Lab Computing Engineer provides both consulting, analytical and technical laboratory services, including multivendor instrument, information technology as well as in-lab…

Jobgether

Senior AI & MLOps Engineer

Remote, United States

Apply on jobs.lever.co About employer

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Job details

Posting language: English
Posted: Nov 13, 2026

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior AI & MLOps Engineer based in United States.

As a Senior AI & MLOps Engineer, you will play a key role in deploying and managing advanced AI-powered solutions across enterprise cloud environments. You will work at the intersection of Agentic AI, Generative AI, cloud engineering, and machine learning operations to bring innovative AI products from proof of concept to production. Leveraging technologies across AWS, Azure, and Google Cloud, you will design secure, scalable, and reliable architectures for complex enterprise applications. You will lead deployment automation, implement MLOps and LLMOps best practices, and ensure optimal performance through monitoring and continuous improvement. Working closely with client architects, infrastructure teams, security specialists, and business stakeholders, you will drive successful technical implementations. This remote opportunity offers the chance to contribute to cutting-edge AI initiatives while shaping the future of enterprise AI adoption.

Accountabilities:

Deploy, configure, and manage Agentic AI and Generative AI solutions across AWS, Azure, and Google Cloud environments, including private and hybrid cloud infrastructures.
Design and implement scalable, secure, and resilient cloud architectures tailored to enterprise AI applications.
Build, maintain, and optimize CI/CD pipelines, containerization strategies, and automated deployment processes.
Establish and implement MLOps and LLMOps practices to streamline model development, deployment, monitoring, and lifecycle management.
Implement AI monitoring, observability, and performance optimization strategies to ensure production reliability and operational efficiency.
Integrate AI platforms with enterprise applications, APIs, databases, authentication systems, and existing technology ecosystems.
Collaborate directly with client cloud architects, infrastructure teams, and security stakeholders to coordinate deployments and resolve technical challenges.
Take ownership of end-to-end technical implementations, managing the transition from proof of concept through production deployment and go-live.
Apply best practices in cloud security, access management, networking, and secrets management to protect enterprise AI environments.
Work closely with internal AI product engineering teams to enhance deployment processes, improve scalability, and increase solution reliability.
Lead technical discussions with clients, communicate architectural decisions, and provide recommendations to address complex implementation requirements.
Continuously evaluate emerging AI, cloud, and MLOps technologies to improve deployment strategies and operational capabilities.

Requirements:

7–12 years of overall IT experience, with a strong background in enterprise technology and software engineering.
At least 4 years of hands-on experience in Cloud Engineering, DevOps, or MLOps.
A minimum of 2 years of practical experience deploying or integrating AI and Generative AI applications.
Proven experience deploying and managing enterprise applications in production environments.
Strong knowledge of Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and Generative AI architectures.
Proficiency in Python and hands-on experience with AI development frameworks such as LangChain and LangGraph.
Strong practical expertise in at least two major cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP).
Experience with DevOps and infrastructure automation technologies, including Docker, Kubernetes, Terraform, Helm, and CI/CD pipelines.
Knowledge of MLOps and LLMOps tools and platforms such as MLflow, Vertex AI, Azure Machine Learning, Amazon SageMaker, or equivalent solutions.
Experience implementing monitoring and observability solutions using Prometheus, Grafana, OpenTelemetry, or comparable technologies.
Strong understanding of cloud security principles, including Identity and Access Management (IAM), Role-Based Access Control (RBAC), OAuth, cloud networking, and secrets management.
Ability to independently manage technical discussions with clients, coordinate cross-functional teams, and resolve complex deployment challenges.
Excellent communication, stakeholder management, analytical thinking, and problem-solving skills.
Strong sense of ownership, adaptability, and ability to work independently in a fast-paced, client-facing environment.

Preferred Qualifications:

Experience deploying Agentic AI products and autonomous AI solutions within enterprise environments.
Previous experience with multi-cloud architectures, private cloud infrastructures, and hybrid cloud deployments.
Relevant certifications in AWS, Microsoft Azure, or Google Cloud.
Experience designing and optimizing production-grade AI systems with a focus on scalability, security, and operational reliability.

Benefits:

Remote work: Fully remote position, offering flexibility to work from your preferred location in United States.
Full-time opportunity: Join a technology-focused environment working on enterprise-scale AI and cloud engineering initiatives.
Cutting-edge technologies: Gain hands-on exposure to Agentic AI, Generative AI, LLMs, cloud platforms, and modern MLOps/LLMOps technologies.
Technical ownership: Lead end-to-end AI implementations and influence cloud architecture, deployment strategies, and production operations.
Professional growth: Expand your expertise across multiple cloud platforms and emerging AI technologies.
Client-facing experience: Collaborate directly with enterprise architects, infrastructure specialists, security teams, and business stakeholders.
Innovation-driven environment: Contribute to the development and deployment of advanced AI-powered products with tangible enterprise impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

Apply on jobs.lever.co About employer

More about this job

Skills

AWS
Microsoft Azure
Google Cloud
Process improvement
CI/CD
DevOps
Python
LangChain
Automation technology
Docker
Kubernetes
IBM Terraform
Mlflow
Machine learning
Prometheus
Grafana
Identity and access management
Communication skills
Stakeholder management
Analytical skills
Problem solving
Adaptability
Work independently

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Work requirements

Jobs in the United States