Jobs in the United States

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Added 3 mins ago
Senior Security Engineer
Runware
Remote, United States
As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand…
Added 3 mins ago
Contract Role - DevSecOps / AWS Platform Engineer
WorldVia
Remote, United States
We're looking for a highly experienced, hands-on DevSecOps / AWS Platform Engineer to help strengthen and modernize our cloud infrastructure, application security, and development…
Added 3 mins ago
Senior Security Engineer
Runware
Remote, United States
As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand…
Added 4 mins ago
J
Sr. Cloud Applications Engineer
Jobgether
Remote, United States
- $130,000 to $155,000 USD / year
The Sr. Cloud Applications Engineer will lead the design, development, integration, and ongoing support of Azure-hosted applications and enterprise cloud services. This senior technical…
Added 4 mins ago
J
Director, AI Security
Jobgether
Remote, United States
- $154,000 to $265,650 USD / year
Define and lead the enterprise AI security strategy, establishing scalable capabilities covering generative AI, large language models (LLMs), AI agents, AI applications, model lifecycle…
Added 10 mins ago
Databricks Architect
LED FastStart
Remote, United States
Design and Lead Enterprise-Scale Databricks Lakehouse Solutions
Added 25 mins ago
Senior Platform Engineer – Cloud, DevOps & AKS
Computer Task Group, Inc
New York, NY
CTG is seeking to fill a Senior Platform Engineer – Cloud, DevOps & AKS position for our client.
Added 34 mins ago
Solution Architect, Delivery (Databricks)
Jobgether
Remote, United States
…enterprise-scale data platforms and Lakehouse solutions. You will lead end-to-end architecture initiatives built around the Databricks Data Intelligence Platform, translating business…
Added 35 mins ago
SC
Cloud Engineer
State Controller's Office
CA
- $8,625 to $11,557 USD / month
…II (ITS II) serves as a technical subject matter expert and lead responsible for the design, implementation, administration, modernization, governance and ongoing support of the State…
Added 42 mins ago
AI Consulting Engineer - Senior Associate
RSM US LLP
Philadelphia, PA
Added 50 mins ago
Senior Manager, CMC Regulatory
Sarepta Therapeutics, Inc.
Cambridge, MA
Sarepta is on an urgent mission: engineer precision genetic medicine for rare diseases that devastate lives and cut futures short. We hold a leadership position in Duchenne Muscular…
Added 1 hour ago
Director, Compliance & Quality Systems
Jobgether
Remote, United States
…System (QMS) within a regulated laboratory environment. You will lead the final design, implementation, and ongoing operation of the QMS, ensuring alignment with Good Manufacturing Practice…
Added 1 hour ago
Cloud Security Architect (Sr)
Jobgether
Remote, United States
Engineer solutions to support the migration of security controls from NIST SP 800-53 Revision 4 to Revision 5.
Added 2 hours ago
Senior Security Engineer – ServiceNow and DLP
Bank of America
Addison, TX
You will be accountable for bringing together technology strategy, engineering, platform development, integration, program execution, and operational readiness to deliver scalable security…
Added 2 hours ago
Sr. Software Engineer, MarTech (Remote)
CrowdStrike
Austin, TX
CrowdStrike is looking for a Sr. Software Engineer - MarTech to join our fast-growing Marketing IT team. You will apply AI to transform how Marketing and Sales work, building LLM-based…
Added 3 hours ago
O
Principal Network Engineer
Oracle
Santa Clara, CA · Seattle, WA · Reston, VA
- $114,600 to $234,600 USD / year
…and Multicloud Connectivity. As a hands-on Principal Network Engineer, you’ll serve as a technical lead for a key area of the team’s work. You’ll work with customers to understand network…
Added 3 hours ago
Sr. Data Engineer
Amentum
Springfield, VA
As a Senior Data Engineer, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts,…
Added 4 hours ago
AC
Senior Azure Cloud Engineer
Aon Corporation
Virtual, IL · Virtual, VA · Virtual, NC · Virtual, TX · Virtual, IN · Virtual, NJ
- $135,000 to $150,000 USD / year
…succeed. What the day will look like The Senior Azure Cloud Engineer will be primarily accountable for the design and architecture of Aon’s public-cloud infrastructure services, with a main…
Added 5 hours ago
SI
Software Engineering LMTS
Salesforce, Inc.
CA · IN · TX
- $172,500 to $285,800 USD / year
As a Lead Software Engineer, you will shape the technical direction of systems supporting Salesforce’s global finance operations. You will work across ERP capabilities, cloud services,…
Added 5 hours ago
Software Engineering LMTS
Salesforce, Inc.
TX · IN
As a Lead Software Engineer, you will drive the design and delivery of enterprise finance solutions that power Salesforce globally. You will work across ERP applications, APIs,…
Added 5 hours ago
Principal Manufacturing Engineer
Nextern
Maple Grove, MN
NPX Medical is a division of Nextern - a global, vertically integrated medical device development and manufacturing platform. We specialize in precision metal components and assemblies,…
Added 5 hours ago
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Sr. Manufacturing Engineer - NPX
Nextern
Maple Grove, MN
- $100,000 to $140,000 USD / year
NPX Medical is a division of Nextern - a global, vertically integrated medical device development and manufacturing platform. We specialize in precision metal components and assemblies,…
Added 5 hours ago
Director, AI Security
Johnson & Johnson Services Inc. Legal Entity
Remote, United States
The Director, AI Security will lead a team accountable for addressing AI-related risks such as prompt injection, sensitive data exposure, excessive agent privileges, tool misuse, model and…
Added 6 hours ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
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…
Added 6 hours 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…

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