Jobs in the United States

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Added 6 hours ago
Senior Principal Engineering Program Management ( EPM )
Northrop Grumman
Baltimore
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 7 hours ago
Senior Staff Engineering Program Management ( EPM )
Northrop Grumman
Baltimore
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 7 hours ago
Staff Engineering Program Management ( EPM )
Northrop Grumman
Baltimore
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 7 hours ago
Infrastructure Services Lead
Leidos
Fort Belvoir, VA
Leidos is seeking an Infrastructure Services Lead to serve as a key technical leader supporting large-scale enterprise operations, modern engineering, and advanced service delivery on a…
Added 8 hours ago
Cyber Security Support Engineer
Live Nation Worldwide, Inc.
Remote, United States
Lead major upgrades, migrations, platform consolidations, architecture changes, and new capability implementations; own technical design, dependency analysis, risk assessment, test…
Added 14 hours ago
Oracle Fusion Technical Architect
Celsius
Boca Raton, FL
Celsius is seeking an Oracle Fusion Technical Architect to lead the technical design, delivery, and ongoing evolution of Oracle Fusion Cloud solutions supporting our consumer packaged goods…
Added 16 hours ago
AWS ProServe Platform Engineer
DMI
McLean, VA
…must differ only by parameters.• Stand up NIPR development, test and staging by about month 4, and multi-region production by about month 7. Production includes Global Tables and Route 53…
Added 16 hours ago
Principal - Software Engineer
Ally Bank
Charlotte, NC
Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager
Added 17 hours ago
Oracle Fusion Technical Architect
Celsius
Boca Raton, FL
Celsius is seeking an Oracle Fusion Technical Architect to lead the technical design, delivery, and ongoing evolution of Oracle Fusion Cloud solutions supporting our consumer packaged goods…
Added 1 day ago
Staff Engineering Program Management ( EPM )
CORP-Corporate Office
United States
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 1 day ago
Senior Staff Engineering Program Management ( EPM )
CORP-Corporate Office
United States
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 1 day ago
Senior Principal Engineering Program Management ( EPM )
CORP-Corporate Office
United States
…support the Program Manager and Chief Engineer as a Systems Architect on multiple major development…
Added 1 day ago
J
DevOps Engineer
Jobgether
Remote, United States
- $115,000 to $155,000 USD / year
As a DevOps Engineer, you will lead the design, management, and continuous improvement of cloud infrastructure supporting critical healthcare technology and business operations. You will…
Added 1 day ago
System Development Engineer, AWS Data Center Procurement Governance (DCPG)
Amazon.com Services LLC
Seattle, WA
…efficient solutions. Analyze complex business requirements to architect scalable, secure, and fault-tolerant systems. Identify and recommend optimal technologies and frameworks to ensure…
Added 1 day ago
Systems Administrator
Interface Inc
Scottsdale, AZ
…and business-critical systems to ensure high availability, performance, and scalability. The administrator serves as a technical lead for infrastructure initiatives and supports the…
Added 1 day ago
Staff /Sr. Staff Test Platform & Firmware Integration Engineer
Lightmatter
Mountain View, CA
Own board-level functional test integration for assembled photonic boards: firmware load across multiple devices, calibration and device-programming content from design teams, pass/fail…
Added 1 day ago
Data Center Architect
Cloudflare
Austin, TX
Validate designs with modeling: load-flow, short-circuit, arc-flash, and selectivity studies, checked against measured performance where possible.
Added 1 day ago
RH
QA Automation Engineer IV
Robert Half
Remote, United States
- $109,000 to $165,000 USD / year
…ATI Salesforce Competency Center. This is a highly visible, architect-level role focused on driving automation strategy, modernizing test frameworks, and enabling quality across enterprise…
Added 2 days ago
O
Principal Software Engineer, Core Infrastructure
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
–Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including…
Added 2 days ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Build and maintain CI/CD pipelines for infrastructure, applications, models, prompts, agents, configuration, and supporting services across development, test, and production environments.
Added 2 days ago
Solution Architect
DynatraceLLC
Boston
As an Enterprise Solutions Architect Team member you will be asked to work with a variety of accounts where you must lead very skilled engineering staff of our customers. You may also get…
Added 2 days ago
SO
Senior Data Center Infrastructure Engineer (Remote from anywhere in Colorado)
State of Colorado
CO
- $105,000 to $120,000 USD / year
…services the team provides to 20 member organizations. You will architect, engineer, and lead the delivery of highly complex, mission-critical, multi-tenant services, including data center…
Added 2 days ago
SO
Data Center Infrastructure Engineer (Remote from anywhere in Colorado)
State of Colorado
CO
- $26,124 to $120,684 USD / year
…transport; enterprise wireless; F5 application delivery and load balancing; and network and application monitoring, performance management, and…
Added 2 days ago
Test Automation Engineering Lead
Avaya
United States
As a Player-Coach Test Engineering Lead, you will lead a geographically distributed test engineering team while remaining a hands-on architect, coder and troubleshooter. You will own the…
Added 2 days ago
DevOps Engineer
MRO Corporation
Remote, United States
…tagging and labeling standards, and separation of development, test, and production…

Mission Underwriting Services

Machine Learning Ops, AI Engineer

Remote, United States

Remote

Apply on ats.rippling.com About employer

Applications open in a new tab.

Job details

Workplace: Remote
Work location: You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.
Posting language: English
Posted: Nov 10, 2026

Original job description

About Mission Underwriting Services

At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.

What We Offer:

Remote First Work Environment (US Based)
Medical, Dental, Vision
401K, 401K Match
Life and Disability Benefits
Unaccrued Paid Time Off
11 Paid Holidays
Employee Discounts
Employee Assistance Program
Educational Assistance Program
Employee Referral Program
Paid Parental Leave

Purpose:

Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection of cloud engineering, DevOps, AI platform operations, and AI governance. The successful candidate will ensure that our AI infrastructure is secure, observable, scalable, resilient, auditable, and ready for enterprise production use. This role owns the engineering practices that move AI workloads safely from development through production, including deployment automation, CI/CD, cloud security, monitoring and observability, incident response, model and agent lifecycle controls, model drift detection, and governance evidence. The role partners across engineering, data, product, security, and business teams to establish repeatable production-readiness standards across all three platforms.

Essential Duties/Functions:

AI infrastructure and production readiness

Define and implement production-readiness standards for the agentic AI platforms, covering deployment, security, observability, reliability, scalability, resilience, cost management, rollback, and auditability.
Design, build, and operate secure, scalable, and resilient AI infrastructure across Azure and AWS.
Establish reference architectures, environment standards, landing-zone patterns, and governance controls for agents, models, data, APIs, and platform components.
Partner with engineering and product teams to identify operational and governance risks early and move prototypes into production safely.

DevOps, deployment, and CI/CD

Build and maintain CI/CD pipelines for infrastructure, applications, models, prompts, agents, configuration, and supporting services across development, test, and production environments.
Create reusable Terraform and Bicep modules with version control, peer review, automated validation, and policy-as-code controls.
Automate testing, security checks, approvals, artifact versioning, environment promotion, release controls, and rollback procedures using Azure DevOps and Bitbucket Pipelines.

Security, governance, and risk controls

Implement identity and access management, secrets management, encryption, network security, vulnerability management, configuration controls, and secure-by-default platform patterns.
Operationalize AI governance through model and agent inventories, version tracking, approvals, risk assessments, documentation, lineage, access controls, and audit evidence.
Partner with security, legal, compliance, and risk stakeholders to translate governance requirements into technical controls and repeatable operating practices.

Monitoring, observability, and model operations

Implement end-to-end monitoring, logging, tracing, alerting, dashboards, and audit trails for AI platforms and their dependent services.
Monitor availability, latency, throughput, errors, data quality, model performance, token and cloud costs, security events, and user-impacting failures.
Establish controls for model, data, and concept drift, prompt and configuration changes, degraded output quality, and unexpected agent behavior.
Define thresholds, escalation paths, and remediation procedures for retraining, redeployment, rollback, and incident response; lead root-cause analysis and corrective actions.

Networking, resilience, and scalability

Design and operate cloud networking, hybrid connectivity, firewalls, DNS, load balancing, private endpoints, and secure service-to-service communication.
Implement backup, disaster recovery, business continuity, and failover strategies appropriate to AI workloads and business-critical services.
Plan capacity and performance and implement horizontal and vertical scaling while managing service limits, reliability, and cost.

Technical insights and business partnership

Provide technical direction, standards, code and architecture review.
Work effectively with business, delivery, product, data, security, and engineering stakeholders to communicate readiness, risk, dependencies, and tradeoffs.
Stay current with cloud, MLOps, AI platform, and governance practices and recommend improvements that strengthen production readiness.

Required Qualifications:

Five or more years of experience in cloud infrastructure, DevOps, MLOps, or AI platform engineering across AWS and Azure.
Professional-level architecture certification in both AWS and Azure is preferred.
Hands-on experience with Azure DevOps, Bitbucket Pipelines, and CI/CD for production systems.
Strong experience with Terraform, Bicep, infrastructure as code, version control, peer review, and policy as code.
Experience with cloud security, IAM, networking, secrets management, encryption, vulnerability management, disaster recovery, and business continuity.
Experience implementing monitoring, logging, alerting, tracing, observability, and auditability for distributed systems.
Practical MLOps or AI platform operations experience, including deployment, versioning, performance monitoring, drift detection, and rollback.
Working knowledge of AI governance, responsible AI, data privacy, model risk management, and audit or regulatory compliance.
Experience supporting business users or working in a forward-deployed, customer-facing, or similarly stakeholder-intensive technical role.
Ability to deploy, operate, and troubleshoot APIs across Azure and AWS.
Experience delivering AI solutions using LLMs, RAG, machine learning, or agent frameworks.
Ability to deploy and manage Databricks environments in Azure using infrastructure as code.
Strong problem-solving, written and verbal communication, and stakeholder management skills.

Preferred Qualifications:

Cloud architect certification or equivalent architecture experience.
Experience with containers and orchestration, including Docker and Kubernetes.
Experience with observability platforms and practices for distributed applications and AI workloads.
Experience with model registries, experiment tracking, evaluation frameworks, feature management, or AI platform services.
Experience with OAuth, JWT, API management, gateways, and secure service integration.
Experience building data pipelines and analytics solutions using Python, SQL, and Spark is a plus
Experience with FinOps, cloud cost optimization, and capacity planning.
Experience in insurance, financial services, or another regulated environment.
Experience with Agile, DevOps, automated testing, and continuous improvement practices.
Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.

Knowledge, Skills, and Abilities:

Strong knowledge of cloud architecture, MLOps, infrastructure as code, DevOps, and production operations.
Ability to design production-ready AI infrastructure and translate AI governance requirements into measurable technical controls.
Ability to use monitoring and observability signals to identify model drift, AI quality issues, reliability risks, and operational bottlenecks.
Strong understanding of security, privacy, risk management, auditability, and responsible AI practices.
Strong incident management, troubleshooting, root-cause analysis, and continuous improvement skills.
Clear communication with technical and non-technical stakeholders, including the ability to explain risk and tradeoffs.
Ability to lead through influence, mentor teammates, and establish practical engineering standards.
Strong documentation, metrics, dashboarding, and operational reporting skills.
Proficiency with Azure DevOps, Bitbucket, Terraform, Bicep, and common monitoring and observability tools.
Ability to work independently in a remote environment, manage competing priorities, and handle confidential information appropriately.

Working Conditions:

Requires a quiet work environment with regular sitting at a computer for extended periods of time.
Regular use of hands and fingers.
Frequent talking or hearing.
Vision requirements: Close, distance, color, peripheral, focus and depth perception.

Additional Information

This is a remote position. Planned, in-office activities may be required on occasion (typically 2-4x per year). You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.

Apply on ats.rippling.com About employer

More about this job

Skills

Machine learning
Cost management
Microsoft Azure
AWS
CI/CD
IBM Terraform
DevOps
Atlassian Bitbucket
Identity and access management
Documentation
Regulatory compliance
Incident response
Root cause analysis
DNS
Communication skills
Implement ICT recovery system
Infrastructure as code
Troubleshoot
Databricks
Problem solving
Stakeholder management
Docker
Kubernetes
Python
SQL
Apache Spark
Agile
Test automation
Process improvement
Computer science
Troubleshooting
Reporting
Work independently

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Work requirements

Jobs in the United States