Jobs in the United States

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Added 1 min ago
MI
Algorithm Engineer
Maxar Intelligence I
Westminster, CO
- $105,000 to $140,000 USD / year
Vantor is seeking a highly skilled Algorithm Engineer to join our team and help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role…
Added 6 mins ago
Lead Director Product Membership
CVS Health
Remote, United States
Direct Ownership of Core Retention Portfolios: Lead software, data engineering, Data Science, and Epic Analyst initiatives across key operational programs, including:
Added 7 mins ago
Software Engineer 1, Full-Stack
Cook Medical
Bloomington, IN
TheSoftware Engineer, Full-Stackdevelops, implements and documents software and programs that provide the technical solutions to meet specifications and business requirements defined by…
Added 7 mins ago
Data Engineer, Analytics (Technical Leadership)
Meta
Indianapolis, IN
Data Engineer, Analytics (Technical Leadership) Responsibilities:
Added 7 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Indianapolis, IN
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 7 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Indianapolis, IN
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 7 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Indianapolis, IN
- $121,400 to $218,600 USD / year
…will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to manage projects, provide creative solutions, and develop successful…
Added 7 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Indianapolis, IN
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 7 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Indianapolis, IN
…operational support to users, and supplies the logs, usage data, and configuration records needed to support audit and governance…
Added 7 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Indianapolis, IN
Are you an experienced, passionate pioneer in data and technology who wants to work in a collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing…
Added 7 mins ago
Enterprise Applications Manager (AI & Platform Modernization)
Dentons US LLP
Indianapolis, IN
…AI-enabled productivity, platform modernization, process automation, data governance, adoption, measurable business value, and continuous improvement while protecting Firm confidentiality,…
Added 7 mins ago
EG
Databricks Data Engineer
Eliassen Group
Indianapolis, IN
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 29 mins ago
Consultant, Software Engineer (DevXP)
Nationwide Life and Annuity Insurance Co
OH
Software Engineer - AI-Enabled Requirements & Quality Engineering
Added 43 mins ago
EG
Databricks Data Engineer
Eliassen Group
Juneau, AK
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 53 mins ago
JL
Property Condition Assessor
Jones Lang LaSalle
Denver, CO
- $55,000 to $80,000 USD / year
…systems while contributing to JLL's reputation for quality, data-driven property assessments. This roles requires 60% domestic…
Added 53 mins ago
UE
Software Development Engineer I - Colorado
Ulteig Engineers, In
Greenwood Village, CO
- $80,000 to $120,000 USD / year
Ulteig is looking for a Software Engineer who is a Computer Science graduate seeking their first professional software engineering role and who is excited to build with modern AI…
Added 1 hour ago
Sr. Project Engineer-R0007990
CF Industries Holdings, Inc.
Yazoo City, MS
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Jackson, MS
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Charleston, WV
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Lincoln, NE
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 2 hours ago
C
Customer Success Program Manager - Food
Carrier
Beverly, MA
- $79,000 to $158,000 USD / year
…manage projects and programs, they unlock the potential of data. You will leverage automated IoT streaming data, machine learning, and predictive analytics to engineer process efficiencies,…
Added 2 hours ago
CIAM Full Stack Engineer
Manulife
Boston, MA
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Added 2 hours ago
Lead Data Engineer, Scientific Data - Boston, Ma
Kelly Services
Boston, MA
A rapidly growing technology company at the intersection of life sciences, data engineering, and artificial intelligence is seeking a Lead Data Engineer, Scientific Data to join its…
Added 2 hours ago
Agentic Ai Engineer (Insurance and Agentic Workflows) - Boston, MA
Kelly Services
Boston, MA
Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 7+ years of software engineering, machine learning, or data engineering experience, or a Master's…
Added 2 hours ago
Data Scientist - Boston, MA
Kelly Services
Boston, MA
Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or another quantitative discipline

Fairview Health Services

Cloud & AI Deployment Engineer

Minneapolis, MN, United States

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Job details

Apply by: Nov 6, 2027
Posting language: English
Posted: Nov 6, 2026

Original job description

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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