Jobs in the United States

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Added 1 min ago
VP Product Management / Industrial Automation
Railserve, US
United States
Cross-functional leadership across engineering, operations, commercial, and executive leadership teams
Added 3 mins ago
KC
Electrical Engineering Supervisor
King County
Seattle, WA
- $77.35 to $93.51 USD / hour
Join Metro Transit’s Capital Division as our next Electrical Engineering Supervisor to lead a talented team driving some of Metro’s highest-impact capital projects. Your team’s portfolio…
Added 5 mins ago
SG
Supplier Quality Engineer
Smiths Group
Morton Grove, IL
- $72,500 to $90,000 USD / year
Reporting to the Operations Quality Manager, the Supplier Quality Engineer (SQE) is responsible for driving supplier quality performance, resolving quality issues, and leading continuous…
Added 7 mins ago
Sr. Manager, Environmental Health and Safety
SpaceX
Cape Canaveral, FL
…programs within our fast-paced work environment that includes operations that have never been attempted before. You will bring deep experience in EHS risk assessment, industrial hygiene,…
Added 8 mins ago
Sr Software Engineer, AWS Applied AI Solution – Core Services
Amazon Development Center U.S., Inc.
Seattle, WA
Your morning starts with an engineering team standup, followed by collaborative sessions with product managers in your team to provide requirement and internal customer inputs. You'll…
Added 8 mins ago
Area Manager II
Amazon.com Services LLC
Petersburg, VA
Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an…
Added 8 mins ago
Area Manager II
Amazon.com Services LLC
Hagerstown, MD
Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Hobart, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Maple Valley, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Kent, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Everett, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Snohomish, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Granite Falls, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Mill Creek, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 9 mins ago
G
Lead Industrial Construction Estimator
GPAC
Edmonds, WA
- $160,000 to $200,000 USD / year
We are seeking an experienced Lead Industrial Construction Estimator to lead the development of accurate, competitive cost estimates for industrial construction projects. This individual…
Added 12 mins ago
Lead Technical Program Manager
JPMC page
Tampa, FL
As a Lead Technical Program Manager at JPMorgan Chase within the Commercial and Investment Bank – Healthcare Payments Group, you will drive the successful delivery of complex technology…
Added 12 mins ago
AI Domains Deployment Strategist - Vice President
JPMC page
New York, NY · NY
As an AI Domains Deployment Strategist in the AI in Operations Strategy and Transformation Office, you will embed with business teams to identify high-value opportunities and drive…
Added 13 mins ago
Manager, Digital Product
Mossville, IL
We are seeking an experienced Manager, Digital Product to lead a team of Digital Product Owners responsible for delivering and supporting digital products that support Sales & Operations…
Added 14 mins ago
Director, AI Security
Johnson & Johnson Services Inc. Legal Entity
Remote, United States
…securely while protecting sensitive information and critical operations within a regulated healthcare environment (including GxP/validated systems, HIPAA, and the EU AI…
Added 15 mins ago
Manager, Customs Compliance, Valuation & Post-Entry Programs
Daimler Truck North America LLC
Portland, OR · Detroit, MI
…documented, and escalated. The position partners closely with Import Operations, Finance, Tax, Accounting, Purchasing, Engineering, Legal, and other business functions to maintain clear…
Added 16 mins ago
GPT Infrastructure Lead
OpenAI Inc.
Seattle, WA
Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
Added 17 mins ago
Business Project Lead Analyst - Express Scripts - Hybrid
Evernorth Sales Operations, Inc.
St. Louis, MO · Bloomington, MN · Morris Plains, NJ
The Project Lead Analyst will be a member of the technology vertical within the Sales Enablement organization that supports Evernorth and its businesses. This team owns and is responsible…
Added 18 mins ago
Associate Director, Architect - Asset Servicing
RBC Capital Markets, LLC
Jersey City, NJ
…builder in the stock record team, working alongside the team lead. You will learn how trades, loans and settlements flow through RBC Broadridge-based platforms, translate those needs into…
Added 23 mins ago
CO
Associate Planner
City of South Gate
South Gate, CA
- $43.01 to $52.28 USD / hour
…as applied to municipal and/or urban planning; building and engineering practices; statistics and graphic presentation; laws, ordinances, rules and regulations pertaining to planning and…
Added 24 mins ago
Customer Service Engineer (VA ESOM IRP)
Kentro
Bedford, MA
Must have experience conducting routine system administration tasks and logging data in system admin logs

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