Remote AI Jobs with Conference Budget

Requirements

• Support Turner & Townsend's AI compliance program
• Maintain data and AI inventories and maps
• Collaborate with different business teams
• Promote adoption of privacy and data governance best practices
• Foster a culture of data responsibility and compliance
• Champion innovation in data governance

Benefits

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

Skills

Requirements

• Design and engineer security controls for AI-enabled SaaS applications
• Define and evolve the enterprise AI Security Architecture
• Establish secure-by-design patterns across AI development, deployment, and operations
• Extend identity and access principles to non-human identities and autonomous agents
• Implement delegated and 'on-behalf-of' authorization patterns
• Apply least-privilege and scope-limiting controls to prevent privilege escalation

Benefits

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

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

• Minimum of 10 years in B2B Pre-Sales experience
• Strong technical background in AI, Software Engineering or Cyber Security
• Solutions Architect, Field CTO or Product Management in Cyber Security vendors
• Ability to lead major customer engagements
• Excellent customer-facing skills
• Ability to tackle complex challenges faced by customers
• Expertise in AI Security space and product offering

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

Requirements

• Design and implement safeguards for internal AI usage
• Architect and implement guardrails for tool-using AI systems
• Build enforcement mechanisms that govern AI behavior at execution time
• Design and implement identity and access controls for agents and automation
• Implement logging and tracing for AI activity
• Perform agentic system threat modeling using MAESTRO
• Translate findings into practical safeguards and detection logic

Benefits

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

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

• 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

• 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

• 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

• 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

• 6+ years in an information security field or software engineering
• 2 or more years conducting security reviews
• 2+ years of manually reviewing source code
• Experience building or contributing to AI security tools
• Extensive infrastructure, cloud, and application security experience
• Experience communicating risk to engineering and leadership teams
• Experience going deep on complex systems for extended engagements

Benefits

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

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

Requirements

• Strong stakeholder management
• Excellent communication skills
• Demonstrate confidence in technical decision-making
• Self-motivated with ability to work autonomously
• Result-oriented with strong collaboration skills
• Meticulous documentation
• Business-level Japanese (above N2)

Benefits

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

Skills

Requirements

• Lead large, multi-year research and development programs
• Shape national technical direction
• Mentor interdisciplinary teams
• Collaborate closely with software engineers
• Serve as a key interface with sponsors and stakeholders
• Align PNNL's research agenda with evolving mission requirements
• Drive real-world impact
• Contribute to impactful, mission-focused applied R&D projects

Benefits

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

Skills

Requirements

• Lead the enterprise strategy and execution for governing data and AI responsibly, securely, and in compliance with global regulations.
• Establish a unified control framework across data and AI lifecycle domains.
• Partner across IT, Legal, Cybersecurity, Compliance, and Business functions.
• Balance innovation with risk mitigation while enabling self-service analytics, AI adoption, and digital transformation.

Benefits

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

Skills

Requirements

• 3+ years of experience in data management and/or data governance
• Excellent analytical thinking and problem-solving abilities
• Experience in AI governance is a plus
• Knowledge of data engineering, architecture, AI, analytics, governance, and visualization
• Ability to design and implement AI governance frameworks
• Ability to guide clients in creating an unambiguous conceptual framework and information model
• Ability to define and implement governance processes tailored to each client's maturity and needs

Benefits

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

Skills

Requirements

• Proficiency in Microsoft Copilot Studio
• Experience with Microsoft BOT Framework
• Strong understanding of AI ethics and responsible AI frameworks
• Experience in designing and implementing mitigation strategies for AI systems
• Ability to analyze AI system performance against ethical and sustainability benchmarks
• Familiarity with AI system monitoring and evaluation techniques
• Minimum 3 years of experience in Microsoft Copilot Studio
• 15 years full time education

Benefits

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

Skills

Requirements

• Assess AI systems for adherence to predefined thresholds and benchmarks
• Design and implement technology mitigation strategies
• Collaborate with various teams to enhance the integrity of AI systems
• Contribute in providing solutions to work related problems
• Engage in continuous learning to stay updated on the latest trends and regulations in responsible AI
• Collaborate with cross-functional teams to develop and refine ethical guidelines for AI systems

Benefits

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

Skills

Requirements

• Design and implement new features and integrations for virtualization features across diverse cloud environments and deployments.
• Engage in all phases of the product development cycle from concept definition, design, through implementation, and testing.
• Develop comprehensive functional specifications, evaluate task requirements and timelines, and contribute to design, development, debugging, and support processes.
• Hands-on experience with virtualization technologies, various hypervisors, system software, and networking.
• Strong expertise in programming languages such as C, Python, and Go.
• Proficiency in low-level linux systems programming technologies
• Familiarity with cloud service architectures, including compute, networking, load-balancers, and identity management.
• Experience with cloud deployments on platforms such as Azure, AWS, and GCP.

Benefits

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

Skills