Collaborate with Solventum SolversAround the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, Solventum is a place where you can collaborate with other Solversto improve the outcomes of healthcare. This position provides an opportunity to transition from other private, public, government or military experience to a Solventum career. (Shalini - please replace/edit above with whatever standard language is appropriate)
The Impact You ll Make in this Role
As an AI Engineer in Security Governance and Artificial Intelligence (AI), you will play a crucial role in evaluating Solventum AI use cases and facilitating robust testing and monitoring capabilities.
Collaborating across the enterprise, you will work closely with Legal, Privacy, Compliance, and key business and RD groups to establish repeatable practices that mitigate risks within the AI landscape. This position demands a unique combination of technical expertise, understanding of security controls, and experience in data governance.
Your experience in global organizations will be instrumental in guiding the team through the evolving international AI regulatory environment. You will stay abreast of AI trends, technologies, and regulatory developments, continually introducing new ways to address risk. Under the AI umbrella, you will lead and collaborate on risk assessments designed to identify potential threats associated with AI applications and facilitate first of a kind protection solutions.
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 (completed and verified prior to start) from an accredited institution 4 years of experience in Information Technology and Information Security
OR
High School Diploma/GED or higher from a (completed and verified prior to start) and a minimum of eight (8) years of experience in Information Technology and Information Security
Programming Skills: Proficiency in programming languages such as Python, Java, or C++ to integrate and model security tools and scripts.
Experience with AI Tools and Platforms: Familiarity with AI development platforms (e.g., TensorFlow, PyTorch) and their security implications.
Risk Assessment and Management: Ability to perform thorough risk assessments of AI use cases and implement mitigation strategies.
Additional qualifications that could help you succeed even further in this role include:
Advanced Degree: Masters or Ph.D. in Cybersecurity, AI, or a related field.
Knowledge of AI Ethics: Familiarity with ethical considerations and guidelines for AI deployment.
Experience in AI/ML Security: Proven experience in evaluating and securing AI and machine learning systems, including familiarity with adversarial attacks and defenses.
Experience in healthcare or other highly regulated industry, preferably in a global organization
CISSP strongly preferred, or equivalent experience across a broad spectrum of Information Security disciplines
Knowledge of Development Lifecycles, either software or AI specific (SDLC), including experience with DevOps or similar highly integrated work environments.
Experience in AI strategy, Data Governance, and/or a related role in technology, data science, or AI. An understanding of AI technologies, machine learning, or data analytics with a focus on technical and ethical considerations.
5+ years experience in Security Governance, Risk Compliance with corresponding increase in skills and responsibilities.
Communication Skills: Excellent verbal and written communication skills to convey security findings and recommendations to technical and non-technical stakeholders.
Familiarity with potential AI related regulations (NIST AI RMF, ISO 42001, OECD AI Policy framework, and EU AI act with their implications for AI development and use.
Understand the foundations and importance of a strong data security posture.
Proven record of effectively leading successful initiatives, especially those without pre-defined solutions.
Team Collaboration: Ability to work collaboratively with cross-functional teams, including developers, data scientists, and security professionals.