Remote AI Governance & Programs Jobs with 401k Matching

Requirements

• 3+ years of proven ability in machine learning, including work with generative models
• Proficiency in Python and data science libraries (e.g. Pandas)
• Strong skills in data analysis, visualization, and applied ML workflows
• Excellent interpersonal skills and proven ability to translate sophisticated technical insights
• Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 3+ years of proven ability in machine learning, including work with generative models
• Proficiency in Python and data science libraries (e.g. Pandas)
• Strong skills in data analysis, visualization, and applied ML workflows
• Excellent interpersonal skills and proven ability to translate sophisticated technical insights
• Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 14+ years of experience in data integration, data management, or data governance
• Strong hands-on experience with Informatica IDMC components
• Proven experience implementing enterprise data governance frameworks
• Strong understanding of data lineage, metadata management, data cataloging, and data quality management
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Good understanding of data architecture, data modeling, and enterprise integration patterns
• Experience with SQL, ETL/ELT pipelines, and data warehousing concepts
• Strong stakeholder management and communication skills

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models
• Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems
• Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk
• Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle
• Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Remote Work

Skills

Requirements

• 12+ years of professional experience
• 5+ years in iOS / macOS application development
• Expertise in Apple's Core iOS and Foundation frameworks
• BS in Computer Science, Mathematics, Statistics, or a related field
• Experience in shipping impactful mobile frameworks used by others outside your direct team
• Experience leading the architecture and development of complex, high-performance production systems
• Demonstrated ability to technically lead projects, mentor engineers, and drive cross-functional initiatives from concept to delivery
• Excellent analytical, problem solving and communication skills

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Support the design, operationalization, and continuous improvement of the bank's Responsible AI framework
• Translate Responsible AI principles and evolving regulatory expectations into practical, implementable requirements
• Develop reusable risk assessment approaches, control mappings, AI pattern blueprints, evidence checklists, and monitoring expectations
• Establish a proportionate, risk-tiered approach to governance
• Communicate clearly across technical and non-technical stakeholders
• Help establish repeatable approaches that scale without losing rigor

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• 3+ years of experience in content policy, content standards, trust and safety or a related field
• Bachelor's degree in a relevant field such as Public Policy, Marketing or equivalent experience
• Ability to support the development and implementation of generative AI guidelines
• Collaboration with cross-functional teams to uphold content quality and reduce risk
• Supporting the review of generative AI use cases and documenting policy decisions
• Tracking policy questions, escalations and trends to identify opportunities to improve guidance and workflows
• Assessing generative AI models and systems to ensure they meet the bar for content quality and appropriateness
• Creating, measuring, and communicating progress against Editorial Standards & Practices

Benefits

• 401k Matching
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Strong research or product deployment record in areas related to responsible AI
• Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
• Deep experience in human-centered research
• Work with highly-sensitive content with exposure to offensive and controversial content
• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
• Strong organizational and operational skills working with large, multi-functional, and diverse teams

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Deep expertise in application security, AI/ML risk, and cloud-native security engineering
• Strong ownership, structured problem solving, cross-functional collaboration, and the ability to balance risk reduction with business velocity
• Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems
• Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems
• Delivers measurable outcomes aligned to 30-, 150-, and 210-day milestones

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Set technical direction for projects developing and applying safety methods and pipelines
• Engage with stakeholders to translate mission needs and operational constraints into actionable safety requirements
• Lead projects and programs to design, implement, and validate model evaluation for cutting edge AI
• Translate cutting-edge research into mission-relevant tools and prototypes

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Lead AI ecosystem assessments and design tailored governance frameworks
• Own multi-workstream engagements and drive executive alignment
• Define governance evaluation and approval processes for AI tools and use cases
• Develop AI governance operating model blueprints
• Facilitate executive and working sessions to align stakeholders and drive decisions

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Minimum of 5 years of professional experience in IT Risk Management, Cyber Security, IT Audit, SOC Reporting, GRC, AI Risk Management, or related fields.
• Experience managing multiple projects and teams simultaneously in a consulting or professional services environment.
• Strong understanding of SOC 2, Information Security frameworks, IT controls, Cyber Security governance, and risk management met

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs
• Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models
• Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations
• Collaborate with model developers and business stakeholders to address identified issues and improve model performance
• A Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field
• Programming expertise in Python, including experience with relevant data science libraries
• Experience with AI model development and validation
• Strong understanding of machine learning algorithms and techniques

Benefits

• 401k Matching
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership

Skills

Requirements

• Independently challenge model owners across lending, fraud, and AML
• Reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound
• Hunt the silent errors that make metrics lie, and prove them out before they reach production
• Choose evaluation that holds up under real conditions: rare events, shifting populations, and drift that only shows up after launch
• Work hands-on in codebases you did not write, learning the data, configs, and conventions, and ship production code in the tooling you build to validate them
• Build the agentic validation tooling the team depends on, orchestrating
• Partner widely across the organization
• Work with the first-line modelers you challenge, the Legal, Compliance, and fair-lending teams who rely on your analysis, and the auditors and bank partners who carry it into regulatory engagements

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Build and continuously enhance the risk management framework for AI and Agentic AI systems
• Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks
• Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time
• Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring
• Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, and model drift
• Design the guardrails and platform-level controls that govern the safe use of AI systems
• Act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Lead, mentor, and grow a team of AI Security Engineers and Analysts.
• Translate enterprise AI security strategy into actionable roadmaps, programs, and measurable outcomes.
• Set clear objectives, performance metrics, and accountability for AI security initiatives.
• Drive cross-functional collaboration across security, engineering, data science, legal, privacy, and compliance teams.
• Oversee workforce planning, hiring, onboarding, and succession planning.
• Foster a culture of continuous learning, innovation, and responsible AI adoption.
• Design and oversee the enterprise Responsible AI and AI Security governance framework.
• Develop and maintain AI security policies, standards, and operating procedures.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Strong engineering skills and experience in writing production-quality code
• Background in generative models, natural language processing, LLMs, or diffusion models
• Experience with failure analysis, quality engineering, or robustness analysis for AI/ML based features
• Experience working with crowd-based annotations and human evaluations
• Work with highly-sensitive content with exposure to offensive and controversial content

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Conduct formal assurance engagements against AI standards and regulations
• Lead assurance and audit readiness assessments for clients implementing AI
• Advise clients on designing AI governance and control frameworks
• Work embedded with clients on large-scale AI implementation projects
• Help clients develop auditable AI-related disclosures
• Work across organizational levels
• Translate complex regulatory and control concepts into actionable insights

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Conduct formal assurance engagements against AI standards and regulations
• Lead assurance and audit readiness assessments for clients implementing AI
• Advise clients on designing AI governance and control frameworks
• Work embedded with clients on large-scale AI implementation projects
• Help clients develop auditable AI-related disclosures
• Work across organizational levels
• Translate complex regulatory and control concepts into actionable insights

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Lead end-to-end AI Risk Assessments for generative AI and LLM use cases
• Embed in Block's enterprise-wide GenAI review process
• Coordinate cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes)
• Manage timelines to ensure reviews are completed within SLA
• Review AI system design and documentation
• Assess pre-deployment testing for adequacy

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Lead end-to-end AI Risk Assessments for generative AI and LLM use cases
• Embed in Block's enterprise-wide GenAI review process
• Coordinate cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes)
• Manage timelines to ensure reviews are completed within SLA
• Review AI system design and documentation
• Assess pre-deployment testing for adequacy

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's degree in a technical field
• 5 years of experience in program management
• 2 years of experience developing or launching products or technologies within safety, security, privacy, or a related area
• Experience with generative AI and machine learning
• Experience managing multi-quarter technical programs involving distributed systems, machine learning pipelines, or infrastructure

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 6–12+ years in Solutions Engineering, Technical Sales, or Technical Consulting roles
• Strong background in GRC, privacy, security, or compliance
• Experience advising enterprise customers on governance strategy and operating models
• Strong understanding of SaaS architecture, cloud-native systems, and distributed environments
• Domain Expertise in data governance and/or AI governance concepts

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Good working knowledge of AI regulations and landscape
• Relevant experience with AI and other innovative technology risk management, governance, or enablement
• Proven ability to collaborate effectively and communicate with team members
• Significant experience with or demonstrated capability to learn AI risk management principles and techniques
• Exceptional analytical, issue-spotting, problem-solving abilities
• Proven intellectual curiosity, capability to learn quickly, and the ability to prioritize and manage multiple competing demands across a global business

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills