Job Description:
Principal MLOps Engineer
3M Health Care is now Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving you.
The Impact You’ll Make in this Role
As a Principal MLOps Engineer, you will lead the operational architecture, deployment strategy, and reliability engineering for integrating AI into high-stakes Healthcare Information Systems (HIS). You will define the enterprise operational standards, govern the release processes, and build the resilient infrastructure required to maintain models in mission-critical clinical environments. You are the definitive authority on production discipline, compliance support, and incident resolution for the AI organization.
Key Responsibilities
1. Enterprise Release Architecture & Governance
Release Strategy: Architect and govern the comprehensive release process, defining enterprise checklists, automated approval gates, release notes, and deployment readiness standards.
Deployment Execution: Establish the deployment execution standards for promoting AI across all environments and ensure customer deployments adhere to strict internal production discipline.
Model Registry: Architect and oversee the enterprise model registry, ensuring seamless integration with CI/CD pipelines and full version control traceability.
2. System Reliability & Incident Management
Monitoring Standards: Define and enforce monitoring standards, establishing critical SLAs/SLOs, service health metrics, and comprehensive dashboards across the AI ecosystem.
Quality & Drift Control: Architect automated checks for input/output data quality and model drift, ensuring proactive detection of system degradation.
Incident Framework: Establish and lead the production incident process, including rigorous triage workflows, severity escalation paths, postmortems, rollback mechanisms, and recovery infrastructure.
3. Compliance & Technical Leadership
Security & Traceability: Partner with Platform teams to provide essential ATO (Authority to Operate) and compliance support, ensuring complete deployment traceability and strict operational controls.
Operational Visibility: Oversee comprehensive operational reporting, providing leadership with status updates across production systems, pre-prod testing, customer rollouts, and incident metrics.
Operational Excellence: Foster a culture of production discipline, guiding junior engineers in maintaining operational runbooks and reliable deployment pipelines.
Your Skills and Expertise
To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:
Bachelor's Degree or Higher in Computer Science, Software Engineering, or related technical field.
10+ years of experience in software engineering, with at least 6 years dedicated to deploying and maintaining large-scale ML systems in production (not just research or POCs).
MLOps & Cloud: Expert-level experience with Cloud Providers (AWS/GCP/Azure) and orchestration tools (Kubernetes, Kubeflow, or Airflow).
Engineering & Programming: Expert-level Python and Java/Go (or similar). Deep proficiency in backend frameworks, microservices, and system design patterns.
Observability & Telemetry: Expert knowledge of monitoring stacks (Prometheus, Grafana, Datadog) and establishing enterprise SLAs/SLOs for AI services.
Release Engineering: Proven track record of designing automated deployment pipelines, managing complex rollback procedures, and enforcing model registry governance at scale.
Additional qualifications that could help you succeed even further in this role include:
Master’s or PhD in Computer Science, Software Engineering, or related technical field is preferred.
Security & Compliance: Deep understanding of cybersecurity best practices and ATO processes within regulated industries (Healthcare, Finance, or Defense).
Distributed Systems: Proven ability to design systems that handle massive concurrency and distributed data processing.
Work location:
Remote
Travel:
May include up to 10% domestic
Must be legally authorized to work in a country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.
Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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Skills Required
- Bachelor's Degree or Higher in Computer Science or related field
- 10+ years of experience in software engineering with 6 years in deploying large-scale ML systems
- Expert-level experience with cloud providers (AWS/GCP/Azure) and orchestration tools
- Expert-level Python and Java/Go programming
- Expert knowledge of monitoring stacks (Prometheus, Grafana, Datadog)
- Proven track record in designing automated deployment pipelines
Solventum Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solventum and has not been reviewed or approved by Solventum.
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Fair & Transparent Compensation — Salary ranges on many U.S. postings are explicitly stated, providing clear visibility into target pay bands. Pay is characterized as competitive for numerous technical, engineering, sales, and specialist roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage with day‑one eligibility is emphasized alongside resources such as EAP, coaching, and care referrals. Benefits breakdowns indicate strong sentiment toward core health coverage and related time‑off elements.
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Retirement Support — The U.S. 401(k) program pairs company matching with an additional automatic retirement contribution. Employee-facing benefit details highlight favorable impressions of the 401(k) plan.
Solventum Insights
What We Do
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you






