Jobs in the United States

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Added 3 mins ago
Systems Integration/Test Engineer - Level 2
Lockheed Martin
King of Prussia, PA
As a Systems Integration and Test Engineer , you will plan and execute integration and verification activities for hardware and software components, subsystems, and systems. You will help…
Added 3 mins ago
Technical Program Manager III, Media Security, Google Data Centers
Google
Sunnyvale, CA · Austin, TX · Reston, VA · Pryor, OK
Experience with data centers operations or data center security.
Added 4 mins ago
Sales Rep. 4 - Superficial Venous Interventions (SVI) - Philadelphia, PA
Medtronic
Philadelphia, PA
MUST HAVE: BASIC QUALIFICATIONS:
Added 4 mins ago
Network Engineer III
Deloitte
Pittsburgh, PA · Philadelphia, PA
…resilience, and security while reducing operational cost through automation. Our practitioners work across enterprise campus, data center, and cloud-interconnected networks, guiding clients…
Added 4 mins ago
EG
Automated Test Engineer
Eliassen Group
Harrisburg, PA
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 24 mins ago
IL
Senior GIS Developer
Invenergy LLC
Denver, CO
- $90,000 to $115,000 USD / year
Invenergy is seeking a Senior Software Engineer, GIS. The qualified and successful front-end web developer will support our geospatial application portfolio. You will take part in all…
Added 36 mins ago
Staff Software Engineer, Site Reliability Engineering
Google
Sunnyvale, CA · Kirkland, WA
Experience with data analytics and processing systems.
Added 38 mins ago
Electrical Engineer 3
Lam Research
Tualatin
‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time
Added 41 mins ago
GTM Engineer (Pacific Time)
Jobgether
Remote, United States
We are seeking a technically skilled GTM Engineer to build and optimize the infrastructure powering commercial operations within a fast-growing AI and data infrastructure environment. In…
Added 1 hour ago
Software Engineer II- Full-stack Developer
Deloitte
Saint Louis, MO
Software Engineer II, AI & Engineering/Engineering as a Service
Added 1 hour ago
EG
Automated Test Engineer
Eliassen Group
Lincoln, NE
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 1 hour ago
Software Engineer II- Full-stack Developer
Deloitte
Kansas City, MO
Software Engineer II, AI & Engineering/Engineering as a Service
Added 1 hour ago
Senior Software Engineer
STERIS Corporation
Minneapolis, MN
The Senior Software Engineer will be responsible for the design, documentation, development, and testing of new and existing Software solutions within the Digital Workflow Solutions…
Added 1 hour ago
EG
Automated Test Engineer
Eliassen Group
Jefferson City, MO
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 1 hour ago
EG
Data Engineer
Eliassen Group
St. Louis, MO
- $80 to $100 USD / hour
Our client seeks an experienced Data Engineer to support scrum teams working on an enterprise accounting application. You will operate in an AWS GovCloud environment alongside application…
Added 1 hour ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
…challenges, innovative minds, and emerging technologies. Slalom's Data & AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of…
Added 1 hour ago
Data Engineer
Spectrum Comm Inc
Remote, United States
Must have an ACTIVE DoD Secret Clearance
Added 1 hour ago
Data Engineer
Spectrum Comm Inc
Remote, United States
Must have an ACTIVE DoD Secret Clearance
Added 1 hour ago
Software Automation Specialist
NVIDIA Corporation
North District, IL
NVIDIA is a World Leader in AI Computing and Data Transportation Technologies, and we are now looking for an outstanding Software Automation Specialist to join our Quality Control Team in…
Added 1 hour ago
Service Desk Engineer
GRAY, Inc
Lexington, KY
Gray Inc. is looking to add a Service Desk Engineer to support the Technology Services team in our Lexington, KY Office.
Added 1 hour ago
Senior Data Engineer, WW Ops Finance - S&A
Amazon.com Services LLC
Bellevue, WA · Irving, TX
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in…
Added 1 hour ago
G
Electrical Engineer
GPAC
Plano, TX
- $130,000 to $180,000 USD / year
Active Professional Engineer (P.E.) license required
Added 1 hour ago
G
Electrical Engineer
GPAC
Dallas, TX
- $130,000 to $180,000 USD / year
Active Professional Engineer (P.E.) license required
Added 1 hour ago
G
Electrical Engineer
GPAC
Fort Worth, TX
- $130,000 to $180,000 USD / year
Active Professional Engineer (P.E.) license required
Added 1 hour ago
Network Engineer I
Saalex
Tidewater, VA
Saalex Corporation is seeking multiple Network Engineer I in Tidewater, VA and San Diego, CA. Saalex Corp., is an Engineering and Information Technology Services company with a focus on…

Closed listing

Fairview Health Services

Cloud & AI Deployment Engineer

Minneapolis, MN, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Closing date: Nov 6, 2027
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Overview

The Cloud & AI Deployment Engineer designs, implements, and supports assigned Azure cloud infrastructure and deployment capabilities for AI and machine-learning solutions in partnership with central Cloud Engineering and infrastructure owners.

The role combines hands-on cloud engineering with collaboration across DevOps, Security, and AI/ML teams to deliver reliable, secure environments that can be supported and maintained long term. The engineer follows enterprise infrastructure-as-code, pull-request, deployment, and cloud-governance practices, including FinOps tagging.

The role identifies gaps and helps establish AI-specific cloud guardrails, reusable patterns, and implementation guidelines with the responsible enterprise teams. The position supports cloud and infrastructure delivery; MLOps retains deployed-model operations, and data scientists and designated reviewers retain scientific method validation.

This role will serve as the AI & Automation team’s dedicated cloud engineering resource, enabling AI engineers through secure, repeatable Azure environments and deployment patterns while working alongside existing enterprise and contracted cloud resources. The role may also support AWS and hybrid-cloud needs where applicable.

Responsibilities

Azure cloud implementation. Design, implement, configure, and maintain assigned Azure infrastructure supporting AI/ML solutions in partnership with central Cloud Engineering and infrastructure teams. Coordinate compute, storage, networking, access, and dependencies using approved cloud capabilities.

Infrastructure as code and deployment. Build and maintain version-controlled infrastructure and deployment configurations. Use pull requests, peer review, testing, and enterprise CI/CD processes for repeatable deployment, promotion, rollback, and recovery. Align GitHub and DevOps practices with designated enterprise owners.

AI cloud guardrails and standards. Identify implementation gaps and help develop and apply approved AI cloud guidelines, reusable patterns, and guardrails with central Cloud Engineering, Architecture, and Security. Ensure deployments follow shared standards rather than isolated, project-specific practices.

Cloud governance and FinOps. Apply enterprise-required resource tagging and cloud-governance practices to support ownership, cost visibility, and efficient resource use. Work with the responsible enterprise teams to address tagging and governance gaps and maintain standards across cloud implementations.

Security and access. Implement approved encryption, access-control, and sensitive-data protections for cloud resources. Coordinate security requirements with security and infrastructure owners and bring needed tooling or design exceptions through established review processes.

Production readiness and support. Document configurations, dependencies, monitoring, logging, operational procedures, recovery steps, and escalation paths with responsible service owners before production use. Coordinate ongoing support, including the coverage required for critical services, rather than relying on an individual project owner.

Reliability and troubleshooting. Monitor and troubleshoot assigned cloud infrastructure and deployment processes. Work with MLOps and enterprise service owners to investigate failures, resolve infrastructure dependencies, and maintain availability and performance.

Cross-team delivery and ownership. Partner with central cloud, infrastructure, DevOps, data/API, and AI/ML teams to deliver supported environments and deployment capabilities. Clarify implementation and support responsibilities and contribute to updating responsibility assignments as enterprise platform ownership evolves.

Documentation and continuous improvement. Maintain technical documentation, reusable deployment patterns, and support information. Provide constructive technical feedback, share implementation guidance, and improve reproducibility, efficiency, and long-term support and maintainability across AI cloud deployments.

Required Qualifications

B.S./B.A. in Computer Science, Engineering, Information Technology, Information Systems, or a related field; or
A combination of education and experience equivalent to a bachelor’s degree.
Three years of experience in cloud engineering, DevOps, platform engineering, infrastructure automation, or related work, including demonstrated hands-on experience with Microsoft Azure.
Demonstrated hands-on experience with Azure cloud engineering and deployment in an enterprise environment.
Experience implementing and maintaining infrastructure as code and reusable deployment configurations.
Experience with source control, pull requests, CI/CD, and controlled deployment processes using GitHub, Azure DevOps, or comparable enterprise-managed tools.
Ability to implement and troubleshoot cloud compute, storage, networking, and access configurations in partnership with infrastructure teams.
Experience applying cloud governance, resource tagging, and enterprise deployment and support standards.
Understanding of security best practices, role-based access control, encryption, and sensitive-data handling in cloud environments.
Experience with monitoring, logging, operational troubleshooting, and documented production support for cloud-hosted services.
Ability to identify gaps and develop clear technical guidelines, guardrails, and reusable implementation patterns with enterprise owners.
Ability to independently deliver assigned work, communicate technical tradeoffs, and collaborate with central cloud, infrastructure, DevOps, data/API, Security, and AI/ML teams.

Preferred Qualifications

Experience supporting AI/ML deployments or AI applications in Azure.
Experience in healthcare, health technology, or another regulated industry handling sensitive data.
Experience with containers and deployment patterns for cloud-hosted applications and services.
Experience with AWS or hybrid-cloud environments and applying common standards across cloud platforms.

Benefit Overview

Fairview offers a generous benefit package including but not limited to medical, dental, vision plans, life insurance, short-term and long-term disability insurance, PTO and Sick and Safe Time, tuition reimbursement, retirement, early access to earned wages, and more! Please follow this link foradditional information: https://www.fairview.org/careers/benefits/noncontract

Compensation Disclaimer

The posted pay range is for a 40-hour workweek (1.0 FTE). The actual rate of pay offered within this range may depend on several factors, such as FTE, skills, knowledge, relevant education, experience, and market conditions. Additionally, our organization values pay equity and considers the internal equity of our team when making any offer. Hiring at the maximum of the range is not typical. If your role is eligible for a sign-on bonus, the bonus program that is approved and in place at the time of offer, is what will be honored.

EEO Statement

EEO/Vet/Disabled: All qualified applicants will receive consideration without regard to any lawfully protected status

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Jobs in the United States