[Remote] AI Governance & Explainability Engineer

Note: The job is a remote job and is open to candidates in USA. Dice is a company seeking an AI Governance & Explainability Engineer to join their Data Governance team. The role is responsible for ensuring AI solutions are explainable, governable, auditable, and production-ready, embedding governance directly into the AI technology stack and translating policies into technical controls.ResponsibilitiesAI Governance by Design Engineering (Execution Focus not Policy writing)Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflowsImplement governance as code and automation, eliminating reliance on manual or after-the-fact reviewsAdvise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systemsEnsure human-in-the-loop (HITL) controls are implemented where required by risk level or use caseDocument explainability assumptions, limitations, and residual risk as governance evidenceTranslate enterprise AI policies, standards, and Responsible AI principles into:Technical guardrailsAutomated checksRequired evidence artifactsCI/CD release gatesDefine, generate, and manage explainability outputs that are:Appropriate to the end-user or reviewer personaAligned to the decision context and operational useSkills7+ years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related rolesDemonstrated experience operationalizing AI governance, explainability, and risk controls in production environmentsDeep understanding of Agentic AI architectures and lifecycle considerationsStrong analytical and problem solving abilities, particularly in risk based decision makingAbility to lead governance execution initiatives and influence cross functional teams without direct authorityStrong organizational skills with attention to detail and audit readinessStrong proficiency in Python with hands on experience in AI/ML engineering workflowsWorking knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines)Experience with Microsoft Purview (catalog, lineage, classification, ownership)Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection)Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOpsUnderstanding of cloud platforms (Azure preferred; AWS/Google Cloud Platform a plus)Experience producing audit ready technical documentation and evidence artifactsFamiliarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring viewsExperience with AI/ML and GenAI tooling, including Azure AI Foundry/Azure MLExperience with ML explainability libraries (e.g., SHAP)Experience with LLMs, RAG architecture, and prompt engineeringAuto insurance or claims industry experience preferredExperience evaluating or governing model training approaches (e.g., NLP, generative models) without owning full training pipelinesFamiliarity with synthetic data governance (generation methods, limitations, risk documentation)Experience with additional AI platforms (Databricks AI, Snowflake Cortex, Dataiku)Experience in regulated industries (insurance, financial services, healthcare)BenefitsComprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employeesSalaried personnel receive paid time offHourly employees are not eligible for paid time off unless required by lawHourly employees on a Service Contract Act project are eligible for paid sick leaveCompany OverviewDice is the go-to career marketplace for tech professionals. It was founded in 2010, and is headquartered in Drachten, Friesland, NLD, with a workforce of 201-500 employees. Its website is https://www.or-quest.nl/.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.