Jobs in the United States

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Added 2 mins ago
HF
Senior IT Systems & Support Engineer
Halcyon Financial Technology
San Francisco, CA
- $100,000 to $130,000 USD / year
Guide client leadership through AI adoption, recommending cutting-edge tools that fit their business while keeping data security and governance front and center
Added 2 mins ago
Test Engineer II
Sierra Nevada Corporation
Sparks, NV
Qualifications You Must Have:
Added 2 mins ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
The AI Engineer works closely with AI Architects, software engineers, data
Added 5 mins ago
O
Principal Software Engineer, Core Infrastructure
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
…scalability requirements for owned components; optimizes code and data paths for high‑throughput, hyper‑scale workloads; and leverages data plane platforms for large‑scale retrieval,…
Added 6 mins ago
Payload Safety Operations Engineer
Teledyne Brown Engineering, Inc.
Huntsville, AL
Responsible for leading the evaluation of safety data packs from a Payload Operations Integration (POI) perspective and gathering comments and operational requirements and ensuring those…
Added 9 mins ago
Senior Full Stack Web Engineer, Retail & Marcom Engineering
Apple
Austin, TX
We are seeking a full stack engineer with a passion for crafting visually stunning web applications that embody the Apple standard for design and usability, and for building the reliable…
Added 9 mins ago
Software Quality Engineer, Retail & Marcom Engineering
Apple
Sunnyvale, CA
…recruiting, and people management, from software for Apple data centers to Apple-wide data processing & AI/ML…
Added 11 mins ago
Systems Engineer
BAE Systems
Nashua, NH · Manchester, NH
Job Description Thank you for your interest in BAE Systems! Are you a Systems Engineer with 2 to 20+ years of experience looking for the next step to grow your career? Do you want to…
Added 12 mins ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
…through production, including deployment automation, CI/CD, cloud security, monitoring and observability, incident response, model and agent lifecycle controls, model drift detection, and…
Added 14 mins ago
Sr Software Engineer (C#,.NET)
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
…custom software solutions, providing and governing access to data, evaluating and implementing purchased software solutions, enabling advanced technologies like AI and ML, and managing the…
Added 14 mins ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
- Partner with engineering teams on security architecture for AI agent workflows, protecting data and addressing AI-specific vulnerabilities.
Added 14 mins ago
TT
Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $300,000 USD / year
- Develop security-first architecture for private cloud deployments and support data governance requirements.
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 17 mins ago
FA
AI & Integration Engineer
FSAP and PETA
Remote, United States
- $85,000 to $110,000 USD / year
Support architecture and security reviews by documenting risks, controls, exceptions, and remediation work
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 23 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 24 mins ago
Engineer sr - Corporate and Manufacturing Networking – Global Technology
Starbucks Coffee Company
Seattle
Now Brewing – Senior Engineer, Corporate and Manufacturing Network Engineering #tobeapartner
Added 27 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 30 mins ago
Senior Data & AI Engineer
NeoReach
Remote, United States
We’re seeking an experienced engineer to strengthen our data infrastructure and build practical AI-powered tools.
Added 37 mins ago
XS
Senior Cybersecurity Engineer
Xona Space Systems
Burlingame, CA
- $180,000 to $210,000 USD / year
Xona Space is seeking a Senior Cybersecurity Engineer to lead the development and implementation of our cybersecurity and compliance programs. This role will play a key part in…
Added 38 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
Strong understanding of application security architecture, including authentication and authorization, session management, secrets management, cryptography, API security, network trust…
Added 41 mins ago
Applied AI Engineer: Solutions & Infrastructure
Flowcode
NY
Flowcode is a personalization platform that starts with a connection. It combines customer touchpoints, CRM and CDP data, routing, and real-time decisioning. We do much of the build work…
Added 42 mins ago
Senior FPGA Digital Design & Development Engineer (Hybrid)
Cisco Systems, Inc.
Milpitas, CA · San Jose, CA
As a Senior FPGA Engineer in Cisco’s IoT team, you’ll develop capabilities that help industrial networks operate reliably, maintain precise timing, and recover from disruptions. Your…
Added 43 mins ago
Software Engineer (Platform Software Engineer), G&A Solutions Engineering (GSE)
Apple
TX
…functions - including people, finance, facilities, legal, and security. The team builds and delivers integrated technology solutions that keep these functions running efficiently and…

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