Solventum

QA Engineer

• Orchestrating and executing platform quality, test, and validation plans across the group’s portfolio in accordance with Solventum standards and operating procedures.
• Participate in the planning and execution of: System Integration Testing (SIT), End-to-End Testing (E2E), User Acceptance Testing (UAT), Regression Testing
• Working closely with Solventum QTM leadership to coordinate timelines, deliverables, tools, and compliance.
• Communicating with appropriate urgency and transparency status on progress, issues, and plans.

Customer Facing IT Quality Engineer

Financial Planning and Analysis

• Owning Solventum’s enterprise free cash flow forecast, outlooks, and long‑range planning
• Leading monthly, quarterly, and annual FCF performance reviews
• Translating complex operational and financial drivers into clear, actionable insights for executive leadership
• Driving enterprise working capital performance across inventory, receivables, payables, and other balance‑sheet levers
• Partnering with Supply Chain, Operations, Commercial Finance, Procurement, and Shared Services
• Establishing and maintaining dashboards, KPIs, and governance routines to track progress, risks, and opportunities
• Partnering with FP&A and business leaders to evaluate capital investments, restructuring actions, and strategic initiatives
• Supporting capital prioritization and funding decisions
• Leading scenario modeling and stress testing to assess liquidity, resilience, and trade‑offs
• Partnering with Treasury to support capital planning and use‑of‑cash analyses
• Partnering with FP&A, Tax Planning, and business leaders to evaluate initiatives through a strategic tax lens
• Supporting forecasting of the annual effective tax rate and development of tax planning strategies
• Building and enhancing driver‑based cash flow models linking operational plans to cash outcomes
• Ensuring consistency and integrity of cash flow assumptions across planning tools, ERP systems, and reporting platforms
• Driving continuous improvement in forecasting accuracy, data quality, and insight generation
• Leading legal entity forecasting processes supporting Treasury and Tax activities
• Serving as a trusted advisor to the CFO and Finance leadership team
• Leading, coaching, and developing a high‑performing offshore team

Director, Corporate Financial Planning – Analysis

Machine Learning Engineer

• Lead the operational architecture, deployment strategy, and reliability engineering for integrating AI into high-stakes Healthcare Information Systems (HIS)
• Define the enterprise operational standards, govern the release processes, and build the resilient infrastructure required to maintain models in mission-critical clinical environments
• Architect and govern the comprehensive release process, defining enterprise checklists, automated approval gates, release notes, and deployment readiness standards
• Establish the deployment execution standards for promoting AI across all environments and ensure customer deployments adhere to strict internal production discipline
• Architect and oversee the enterprise model registry, ensuring seamless integration with CI/CD pipelines and full version control traceability
• Define and enforce monitoring standards, establishing critical SLAs/SLOs, service health metrics, and comprehensive dashboards across the AI ecosystem
• Architect automated checks for input/output data quality and model drift, ensuring proactive detection of system degradation
• Establish and lead the production incident process, including rigorous triage workflows, severity escalation paths, postmortems, rollback mechanisms, and recovery infrastructure
• Partner with Platform teams to provide essential ATO (Authority to Operate) and compliance support, ensuring complete deployment traceability and strict operational controls
• Oversee comprehensive operational reporting, providing leadership with status updates across production systems, pre-prod testing, customer rollouts, and incident metrics
• Foster a culture of production discipline, guiding junior engineers in maintaining operational runbooks and reliable deployment pipelines

Principal MLOps Engineer

Analyst

• Utilize clinical nursing knowledge to identify relevant clinical data from electronic health record (EHR) documents
• Provide content support to Solventum end-user products by applying Natural Language Processing (NLP) and Natural Language Understanding (NLU) in a clinical setting
• Support informatics and technical requirements for continuous improvement of the design and content of Solventum clinical products
• Educate and coordinate content utilization with other Solventum departments and customers

Clinical Analyst

• Deliver on quarterly release goals for assigned components
• Gather and interpret requirements as published by federal and state agencies
• Document requirement specifications in DOORS
• Review requirements with product engineers and quality analysts prior to release
• Work closely with component engineers in implementing software modifications
• Support internal teams with escalated customer issues

Requirements Analyst – Components Dev

Data Scientist

• Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows.
• Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable.
• Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems.
• Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text.
• Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns.
• Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences.
• Deploying models into Solventum’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems.
• Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum’s deep learning initiatives.

Senior Data Scientist

Manager

• Leading all real estate transactions across North, Central, and South America including acquisitions, disposals, and lease negotiations
• Developing and executing regional portfolio strategy aligned with global plan of record
• Overseeing integrated facilities management services and performance across all assigned Americas sites
• Ensuring compliance with regulatory, EHS, and company standards
• Owning regional budgets, capital planning, and financial performance
• Partnering with finance, procurement, legal, and business leaders
• Leading and developing a regional team
• Driving standardization, governance, and continuous improvement initiatives
• Manage third party service partners to contract terms and performance KPIs
• Partner with finance teams to ensure accurate reconciliation of payments against leases, contracts, and commitments

Americas Real Estate Manager

Account Executive

• Managing and growing sales of assigned products within a defined geographic territory, with accountability for meeting or exceeding revenue and growth objectives.
• Developing and executing territory business plans, including clinical education, customer engagement, and account prioritization strategies.
• Building and sustaining trusted relationships with surgeons, clinicians, and decision-makers across multiple hospital departments and sites of care.
• Delivering compliant product demonstrations, in-servicing, and clinical support while ensuring accurate forecasting, reporting, and inventory management

Senior Account Executive

Product Manager

• Leading, directing, prioritizing, and managing the design and development of Clinical and Economic Research international patient classification development including International Refined DRG grouping component and global mapping solutions
• Guide business product owners driving international IR-DRG payment solutions across global markets and products ensuring that top line revenue goals are met or exceeded while operating in a matrix
• Guide marketing and sales in understanding and communicating the value of the methodologies and enhancements to drive growth
• Advance and enhance solution impact and usability in improving payment accuracy and measure efficiency and quality by users across payer, provider, government, business partner, and non-profit clients.
• Lead high-performing cross functional team to deliver on-time in full error free regulatory compliant maintenance, modifications and enhancements for CER patient classification and global mapper solutions with a focus on IR-DRGs.
• Champion Scrum principles throughout the organization and consistently implement all aspects of Scrum across the department scrum teams.
• Collaborate with research team to develop approaches that combine the power of categorical models with big data

International Patient Classification Product Owner – Clinical and Economic Research

Solutions Engineer

• Serve as the premier technical authority driving the enterprise-wide architecture, engineering, and deployment of Agentic AI and Generative AI platforms.
• Architect scalable, fault-tolerant enterprise platforms for autonomous, multi-agent systems, moving beyond isolated models to comprehensive reasoning engines.
• Design the underlying infrastructure for agent state management, memory, orchestration, and tool utilization using modern frameworks (e.g., AutoGen, LangGraph).
• Bridge the gap between AI science and software engineering, establishing the technical blueprints for integrating advanced RAG, Graph RAG, and LLMs into high-concurrency production environments.
• Serve as the primary technical advisor to C-suite stakeholders, product leadership, and external healthcare clients, translating business requirements into actionable AI roadmaps.
• Lead technical discussions with customers to build trust in our AI architecture, addressing concerns related to explainability, system latency, and clinical safety.
• Drive cross-functional alignment, ensuring product, engineering, and data science teams are executing against a unified architectural vision.
• Maintain deep technical oversight over traditional ML, Deep Learning, and Generative AI pipelines to ensure the right tool is utilized for the right problem.
• Oversee the design of robust data ingestion pipelines capable of handling highly complex, multi-modal healthcare data (FHIR, structured records, complex PDFs) for agentic processing.
• Lead initiatives to optimize model serving, inference latency, and computational cost across distributed cloud architectures.
• Establish enterprise-wide engineering standards for AI development, including code quality, containerization, CI/CD for ML, and comprehensive system telemetry.
• Architect "security-by-design" AI systems, ensuring strict adherence to healthcare privacy regulations (HIPAA, HITRUST) and implementing guardrails against model drift and hallucinations.

Enterprise Solution Architect

Data Analyst

• Partner closely with business stakeholders and develop AI-powered analytics solutions and intelligent tools that deliver actionable insights to business users.
• Design and build dynamic dashboards and decision-support applications using Power BI and Power Platform
• Leverage LLMs and AI agents to synthesize structured and unstructured data into context-rich insights.
• Utilize Azure AI Foundry, Fabric, and Snowflake to enable advanced analytics and AI use cases
• Implement Model Context Protocol (MCP)-based approaches to enable more accurate, explainable, and scalable AI-driven outcomes
• Translate complex healthcare datasets into clear business narratives to support commercial strategy, growth initiatives, and operational performance.
• Identify opportunities to automate insights generation through AI-enabled workflows and intelligent agents.
• Ensure alignment with healthcare KPIs, including performance tracking across IDNs, facilities, and commercial segments

Senior Data Analyst – AI & Automation

Field Engineer

• Installing, troubleshooting, repairing, and calibrating Solventum Steri-vac™ Sterilizers and Abators in hospital and industrial (Life Sciences) environments.
• Performing preventive maintenance (PM) activities to ensure equipment reliability and performance.
• Providing technical consultation and in-service training to customers on equipment operation and maintenance.
• Managing customer relationships through service agreement renewals, obtaining purchase orders for billable service visits, and scheduling customer visits.
• Supporting customers by delivering timely and effective technical service while maintaining high levels of customer satisfaction.

Field Service Engineer

• Leading software assurance activities throughout medical device software life cycle
• Creating software quality assurance plan
• Determining software safety classification
• Software test readiness and software release readiness
• Ensuring traceability upwards to system level requirements and safety/security risk controls as well as downwards to software design, implementation and testing
• Being an active member of the software team during the whole software life cycle
• Responsibility for physical and functional configuration audits
• Reviewing and approving software requirements, software architectural and detailed design, test procedures, test logs, test results
• Providing insight to management regarding software project status and software quality metrics
• Ensuring compliance with applicable regulatory requirements and industry standards
• Performing gap assessments
• Immediately elevating to management any major problem with device software that could affect patient safety, cyber security, customer usability or system adherence to process requirements
• Acting as a quality champion in software product development and testing teams
• Supporting other software related processes such as CAPA process and other quality related processes regarding cybersecurity risk management and software quality assurance.

Principal Software Quality Assurance Engineer

Director

• Oversee major transformation projects, ensuring alignment with organizational objectives and delivering measurable outcomes.
• Collaborate with business owners and stakeholders to define program strategy and roadmap and manage execution.
• Build strong relationships with senior leaders and internal and external stakeholders to ensure alignment, buy-in, and support for transformation initiatives.
• Establish metrics and KPIs to track the progress and success of transformation projects. Manage tooling and reporting mechanisms.
• Identify and mitigate risks associated with transformation projects.
• Gravitas and ability to interact with the most senior leaders of the organization is critical.
• Act as a key voice for change, helping to engage and align teams around achieving transformation goals and performance metrics.
• Drive overall cross-functional project management of transformation initiatives, including managing project plan, deliverables, owners and due dates, RAIDE Register (Risks, Assumptions, Issues, Dependencies, and Escalations), etc.

Director, Transformation Management Office

Marketing

• Actively contribute to the achievement of sales and marketing plans for the Thailand market and deliver on the business objectives and financial goals.
• Drive sustainable growth by reinvigorating the portfolio, moving from mature to higher value clinically differentiated products.
• Lead the further transformation of the Thailand marketing organization in alignment with the commercial model and the Solventum Way directions.
• Build and elevate team competencies that are relevant to the growth platforms.
• Ensure compliance with local regulations for product portfolios and programs.
• Drive new product launches by collaborating with key stakeholders to determine launch strategy.
• Lead the Thailand marketing planning, localize global marketing plans, and activate programs based on country needs and opportunities.
• Drive demand generation at the local layer. Define local integrated tactics, execute end-customer communication in alignment with campaign objectives and track outcomes.
• Manage marketing budget ensuring effective program ROI.
• Oversee the management of product life cycle (phase in/out), in-country product inventory, and demand forecasting.