Jobs in the United States

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Added 1 min ago
Software Engineer I, Commerce
Twitch Interactive, Inc.
Seattle, WA · San Francisco, CA
…explore our Interviewing Guide to learn how to ace our interview…
Added 2 mins ago
Test Engineer II
Sierra Nevada Corporation
Sparks, NV
Qualifications You Must Have:
Added 3 mins ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
workflows. The role turns product and business requirements into reliable
Added 4 mins ago
Senior Engineer - PLC/Ignition
E Tech Group
South San Francisco, CA · Vacaville, CA
We are seeking an Senior Automation Engineer to contribute to detailed hardware and software design of process automation control systems projects. This includes a combination of…
Added 6 mins ago
O
Principal Software Engineer, Core Infrastructure
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
…expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity…
Added 6 mins ago
Payload Safety Operations Engineer
Teledyne Brown Engineering, Inc.
Huntsville, AL
…Receives assignments in the form of objectives with goals and process to meet goals outlined. Normally receives instructions on new projects or…
Added 12 mins ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
…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…
Added 14 mins ago
Program Management Manager
Swagelok Company
Solon
…Finance, Communications, regional leadership, and enterprise process owners to align SSC quality priorities with business strategy and resolve competing…
Added 15 mins ago
TT
Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $300,000 USD / year
- Design and build scalable infrastructure for AI systems that process structured and unstructured financial data.
Added 15 mins ago
Project Manager - Water/Wastewater Engineering
CDM Smith
Hartford, CT
PMP (PMI), CCM or DBIA certification is required (within 12 months of hire or promotion onto the Approved Project Manager list)
Added 15 mins ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 23 mins ago
Solutions Engineer
HubSpot
Remote, United States
Come join the team defining what technical go-to-market looks like in the AI era. As a Solutions Engineer, you bring a customer-facing background in solutions engineering, solutions…
Added 23 mins ago
Lead Solutions Engineer
HubSpot
Remote, United States
Come join the team defining what technical go-to-market looks like in the AI era. As a Solutions Engineer, you bring a customer-facing background in solutions engineering, solutions…
Added 24 mins ago
Engineering Systems Administrator (SolidWorks)
LeeBoy Inc
Lincolnton, NC
The SolidWorks Administrator / CAD Systems Engineer is responsible for the administration, optimization and continuous improvement of the organization's SolidWorks and Enterprise PDM (SPDM)…
Added 26 mins ago
Software Development Engineer II
Blue Origin LLC
Seattle, WA
…providing oversight and governance to align technology and business…
Added 28 mins ago
Artificial Intelligence/Machine Learning 2
Wyetech
Annapolis Junction, MD
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be…
Added 29 mins ago
Software Engineer
Applied Materials, Inc
Santa Clara, CA
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…
Added 29 mins ago
Controls Engineer
Colgate-Palmolive Company
Tonganoxie, KS
…senior technical escalation resource for complex controls and business/floor system interface issues, providing structured coaching and technical mentorship to shift maintenance…
Added 30 mins ago
Senior Data & AI Engineer
NeoReach
Remote, United States
The Senior Data & AI Engineer will connect business systems, improve data quality, and develop reliable tools that help teams work efficiently and make better decisions.
Added 32 mins ago
Global Product Support Engineer 5
Lam Research
Fremont
‘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 35 mins ago
Spacecraft Mission Systems Engineer
Quantum Space
CA · Hawthorne, CA · Broken Arrow, OK · 801 Thompson Ave. Suite 201 Rockville, MD
We are seeking a technically strong and mission-focused Spacecraft Mission Systems Engineer to help define, architect, analyze, and integrate mission capabilities for our next-generation…
Added 36 mins ago
Software Engineer II
Jeppesen ForeFlight
Remote, United States
Jeppesen ForeFlight is seeking a Software Engineer to help with design and delivery of scalable data pipelines, backend services, and cloud workflows for aviation software products. This…
Added 36 mins ago
HC
R&D Embedded Software Engineer
Hach Company
Loveland, CO
- $95,000 to $105,000 USD / year
Proven proficiency of translating business requirements into data models.
Added 38 mins ago
Staff SW QA Engineer
Dexcom
Remote, United States
…engineering, quality, regulatory, clinical, cybersecurity, and business leaders to drive continuous improvements to SDLC, and quality excellence throughout the product lifecycle. Influences…
Added 39 mins ago
TB
Lead Security Engineer - Threat Modeling
Truist Bank
Charlotte, NC · Greensboro, NC · Orlando, FL · Richmond, VA · Atlanta, GA · Raleigh, NC
- $160,000 to $195,000 USD / year
Experience working with development teams to prioritize threats based on exploitability, business impact, compensating controls, and realistic attack scenarios.

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