Remote Lead AI Jobs

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• 3+ years leading full-stack engineering teams
• 5+ years of strong full-stack software engineering experience
• Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development
• Strong backend skills in Python, Node.js, Go, or similar languages
• Proven track record owning complex product domains from initial design through production and ongoing evolution

Benefits

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

Skills

Requirements

• Sécuriser l'IA (Cyber for AI)
• Construire la feuille de route IA Security
• Sécuriser le déploiement des technologies d'IA au sein de la Maison Hermès
• Transformez nos capacités défensives en intégrant l'IA dans notre arsenal de sécurité

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Define and own evaluation frameworks for GenAI outputs
• Design curate and govern test datasets and benchmarks
• Support development of automated evaluation pipelines
• Manage delivery through well-defined work packages
• Engage senior stakeholders to understand strategic priorities
• Work in the public interest protecting 40 million UK consumers

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• Graduate level education preferable
• Experience in model validation or model development
• Knowledge of AI models
• Expert in analytical tools
• Ability to articulate findings
• Organised, flexible and adaptable
• Strong problem-solving skills
• Excellent communication and teamwork abilities

Benefits

• Life Insurance

Skills

Requirements

• Define strategic direction, roadmap, and measurable outcomes for securing the organization's product lifecycle and emerging AI/ML initiatives.
• Develop and maintain a multi-year strategy and roadmap for Product Security and AI Security capabilities.
• Align roadmap priorities with enterprise risk objectives, regulatory requirements, and evolving attack surface.
• Identify capability gaps and define strategic investment opportunities.
• Translate strategic objectives into structured, sequenced initiatives.
• Lead Security Due Diligence for M&A targets, including technical architecture reviews, vulnerability assessments, security program maturity evaluations, and risk quantification.
• Develop M&A Security Strategy and continuously improve Meta's M&A security playbook, methodologies, and standards to enable rapid, consistent, and thorough security evaluations.
• Drive Integration Planning and partner with target companies and internal teams to design secure integration roadmaps that balance speed-to-value with security requirements.

Benefits

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

Skills

Requirements

• Design and implement AI security controls
• Evaluate inputs and outputs of enterprise AI tools
• Design and implement technical guardrails and monitoring controls
• Design, implement, and operate Data Loss Prevention (DLP) controls
• Partner with engineering, AI/data science, and Digital Workspace teams
• Evaluate emerging AI tools, models, and AI-assisted development platforms
• Implement logging, monitoring, and alerting capabilities
• Develop and enforce policies and technical controls

Benefits

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

Skills

Requirements

• Manage project plans and objectives
• Coordinate cross-functional initiatives and discussions with stakeholders
• Bring industry best practices and practical experience to guide the effort
• Partner with colleagues in the Data Governance Office and leadership
• Support consistent program execution and strong governance across the enterprise
• Collaborate with IT peers and stakeholders across the company
• Advance the company's capabilities in AI Governance
• Support responsible, data-driven decision making aligned with Con Edison's strategic goals

Skills

Requirements

• 7+ years in financial crime risk management, legal/compliance, data governance, or technology auditing
• 5+ years in machine learning (ML) lifecycles, model failure modes, and generative AI risks
• Superior ability to bridge technical, business, and legal teams to explain AI risks and benefits
• Domain expertise in financial crime risk management, legal/compliance, data governance, or technology auditing
• AI knowledge in machine learning (ML) lifecycles, model failure modes, and generative AI risks
• Communication skills to bridge technical, business, and legal teams
• Ability to work cooperatively with teams to identify, assess, and mitigate risks

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Lead enterprise-wide AI Observability and Monitoring Governance
• Validate business/tool owners have implemented appropriate monitoring mechanisms
• Review monitoring dashboards, logs, red-teaming results, and performance trends
• Assess control effectiveness and identify degradation, drift, or risk creep
• Ensure incident escalation pathways are clear and tested

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Training Budget

Skills

Requirements

• Develop and maintain policies, standards and technology in support of enterprise Data Governance.
• Create and implement processes and procedures to support data standards and control frameworks.
• Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management.
• Drive solution design and execution of multi-pronged data governance efforts that span multiple lines of business.
• Build and maintain relationships with various business and technology stakeholders to influence and drive adoption of related Enterprise Data Management strategies, policies, standards and control frameworks.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus

Skills

Requirements

• Develop and maintain policies, standards and technology in support of enterprise Data Governance.
• Create and implement processes and procedures to support data standards and control frameworks.
• Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management.
• Drive solution design and execution of multi-pronged data management initiatives.
• Collaborate with various business and technology stakeholders to influence and drive adoption of related Enterprise Data Management strategies, policies, standards and control frameworks.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Retirement Plan
• Training Budget

Skills

Requirements

• Support the development and execution of the model monitoring roadmap
• Lead performance oversight for high-impact models
• Actively identifying and probing both explicit and implicit assumptions that could lead to model failure
• Drive complex performance investigations
• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems
• Maintain enterprise-wide monitoring standards
• Manage the end-to-end project lifecycle for model monitoring activities
• Serve as the coordinator for cross-functional teams involved in monitoring execution

Benefits

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

Skills

Requirements

• Support the development and execution of the model monitoring roadmap
• Lead performance oversight for high-impact models
• Actively identifying and probing both explicit and implicit assumptions that could lead to model failure
• Drive complex performance investigations
• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems
• Maintain enterprise-wide monitoring standards
• Manage the end-to-end project lifecycle for model monitoring activities
• Serve as the coordinator for cross-functional teams involved in monitoring execution

Benefits

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

Skills

Requirements

• Lead and oversee audit coverage
• Develop, own, and execute a global assurance plan
• Manage and develop teams
• Engage stakeholders and influence change
• Deliver audit outcomes
• Create and maintain audit approaches and coverage methodology
• Define and execute a multi-year risk-based plan
• Build and maintain advanced data, AI/ML, and technology assurance skillsets

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget

Skills

Requirements

• Extensive quantitative development experience in a front office environment
• PhD or Master’s degree in a quantitative field such as artificial intelligence, mathematics, physics, engineering, computer science, or finance
• Proven track record of developing and implementing derivatives pricing models within financial services
• Proven track record of designing, developing, and deploying automation solutions
• Risk and control mindset, with the ability to critically assess business processes and identify opportunities for automation

Benefits

• 401k Matching
• Health Insurance
• Flexible Hours
• Paid Time Off
• Remote Work
• Stock Options

Skills