Lead AI & Data Scientist

Role Description

We are seeking a Lead AI & Data Scientist to help define, implement, and operationalize Trustwell’s artificial intelligence strategy across products, engineering, data, and internal operations. This role is responsible for turning our existing and new AI systems into reliable, governed, measurable, and reusable capabilities that create practical business value.

The ideal candidate has direct experience implementing AI within an organization, including:

• Production use cases
• Governance models
• Adoption processes
• Data controls
• Evaluation frameworks
• Cross-functional enablement

This is a high-impact role for someone who understands:

• Applied AI
• Data science
• Machine learning
• LLMs
• Agentic workflows
• Data governance
• Enterprise adoption

The role requires strong technical judgment, practical implementation experience, and the ability to create structure in a rapidly evolving technology area.

Qualifications

• 8+ years of professional experience across data science, machine learning, AI engineering, data engineering, software engineering, or related technical disciplines
• Demonstrated experience leading applied AI initiatives from concept through implementation
• Direct experience establishing or operating AI governance, evaluation, adoption, or production-readiness processes
• Hands-on experience implementing AI or machine learning capabilities in a production, enterprise, or customer-facing environment
• Strong understanding of modern AI technologies, including LLMs, embeddings, retrieval-augmented generation, prompt engineering, structured outputs, agentic workflows, and model evaluation
• Experience translating business problems into practical AI, data science, analytics, or automation solutions
• Ability to evaluate AI use cases based on business value, technical feasibility, data readiness, operational risk, and implementation cost
• Experience establishing responsible AI practices, including data privacy, security, bias awareness, explainability, human review, auditability, and acceptable use controls
• Strong analytical skills with the ability to work with structured and unstructured data
• Experience with Python and common data science, machine learning, or AI development libraries and frameworks
• Familiarity with APIs, cloud services, data pipelines, vector stores, and production software delivery practices
• Experience defining quality measurement approaches for AI systems, including benchmark datasets, test cases, quality scoring, drift monitoring, and regression evaluation
• Strong communication skills with the ability to explain AI concepts, risks, trade-offs, and implementation plans to technical and non-technical stakeholders
• Pragmatic judgment with the ability to balance innovation, governance, speed, cost, and risk
• Collaborative, approachable working style with the ability to influence across teams without direct authority

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field, or equivalent professional experience
• Advanced degree in a quantitative, technical, or AI-related discipline preferred but not required
• Experience implementing generative AI or LLM-based capabilities in a SaaS, software, regulatory, compliance, supply chain, or data-intensive business environment
• Experience with AI governance frameworks, model risk management, responsible AI programs, or enterprise AI operating models
• Experience with OpenAI, Anthropic, Google, AWS, Azure, or similar AI/ML platforms
• Experience with vector databases or retrieval systems such as Chroma, Pinecone, Weaviate, OpenSearch, MongoDB Atlas Vector Search, or similar technologies
• Experience with data platforms such as MongoDB, Snowflake, SQL Server, PostgreSQL, or cloud-native data services
• Experience with cloud environments, preferably AWS
• Experience with MLOps, LLMOps, observability, evaluation pipelines, model monitoring, and AI cost management
• Experience working with product and engineering teams to move AI prototypes into production
• Experience creating internal AI usage policies, review boards, enablement materials, training programs, or implementation playbooks
• Experience with compliance-sensitive environments involving customer data, privacy requirements, auditability, or regulated industries

Benefits

• Full healthcare benefits, including medical, dental, and vision
• Supplemental benefits, including STD, LTD, HSA, 401k, etc.
• Responsible Time Off (PTO) + Holiday Pay
• Competitive Compensation + Bonus!
• Excellent culture, growth opportunities, plus much more...

Company Description

Trustwell is an equal employment opportunity employer committed to hiring and retaining a diverse workforce. Applicants receive fair and impartial consideration without regard to race, sex, sexual orientation, gender identity, color, religion, national origin, age, disability, veteran status, religion, or other legally protected class. If you need accommodation for any part of the employment process due to a medical condition, or any disability, please contact a member of our human resources team.