Artificial Intelligence

• Reviewing submissions for possible publication on the Lawfare website, including reviewing AI-related submissions for substantive accuracy and analytical rigor
• Soliciting submissions from contributors based on current developments and perceived gaps in Lawfare’s AI and national security coverage
• Processing accepted submissions to prepare them for publication
• Working with the podcast team to develop new audio content and daily podcasts
• Contributing to long- and short-term research projects at the direction of the senior editorial staff
• Maintaining AI-related tracking resources, such as AI on the Docket and the Section 230 Tracker
• Assisting with the logistics of the program’s workshops and briefings
• Ensuring final copyediting and posting of publications to the website
• Maintaining the Lawfare publication schedule
• Contributing as needed to Lawfare podcasts and articles on topics of particular expertise or need
• Managing the website, including rotating highlighted pieces, posting relevant documents and livestreams, and controlling quality
• Scheduling and other administrative responsibilities
• Assisting with fundraising and donor-required documentation, as needed
• Managing and hiring Lawfare interns
• Completing other duties as assigned by Lawfare management

Associate Editor, Artificial Intelligence

• Responsible for the management of a team of direct account Hyperspecialist architecture sellers.
• Accountable for team performance, sales growth and portfolio profitability.
• Collaborate with customers, partners, and industry solution providers.
• Serve as the Account Orchestrator, aligning and integrating solutions with customer needs.
• Reviews business plans, strategy, and forecasting data and presents to senior leadership.
• Direct resource utilization in accordance with strategic sales priorities.

Lead AI Hyperspecialist Sales

• Serve as the hands-on, proactive, strategic leader responsible for advancing AI in Clinical Development
• Partner with various organizations to identify, develop, and scale AI-driven capabilities
• Drive adoption of AI solutions across study design, protocol optimization, and clinical data review
• Lead development of AI-enabled approaches to improve clinical trial performance
• Partner with digital and technology teams to design and deploy AI-powered tools and platforms
• Represent the organization in industry forums and health authority interactions

Head of AI Clinical Excellence

• Navigating complex regulatory landscapes to provide risk management solutions for clients
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Utilizing critical thinking to break down complex concepts and develop actionable insights
• Applying risk governance methodologies to enhance internal controls and mitigate risks
• Interpreting data to inform strategic recommendations and support decision-making processes
• Upholding professional and technical standards in alignment with firm guidelines and independence requirements
• Collaborating with teams to generate innovative ideas and solve regulatory compliance challenges
• Mentoring junior team members to foster their development and enhance team performance

Senior Associate, AI Governance

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI
• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies
• Balances hands-on AI model development with cross-functional coordination

Artificial Intelligence Architect – Senior/Lead

• Design end-to-end conversational flows for chatbots, virtual assistants, and AI-powered support systems.
• Translate business requirements and user needs into structured dialogue models and interaction patterns.
• Develop clear, concise, and brand-aligned conversational content.
• Collaborate cross-functionally with Product Managers, Engineers, and Researchers to deliver high-quality solutions.
• Create wireflows, conversation maps, and prototypes to communicate design intent.
• Apply usability testing insights and performance analytics to iterate and improve experiences.
• Ensure accessibility, inclusivity, and compliance standards are met in conversational interfaces.

Senior AI Conversation Designer

• Evaluating AI-generated conversations, responses, and reasoning for quality, safety, and usefulness
• Rating model outputs using structured evaluation rubrics and project guidelines
• Annotating conversational data to support AI training and benchmarking
• Identifying emerging risks, behavioral patterns, and opportunities for model improvement
• Providing written feedback that helps researchers and engineers improve model performance
• Maintaining strict confidentiality while working with proprietary AI systems and sensitive content
• Participating in calibration sessions and quality reviews to ensure consistent evaluations

AI Safety Expert – Temporary Full-Time Project

• Own the Data & AI Product Lifecycle (End-to-End)
• Act as a True AI Product Owner (Hands-On)
• Lead Data Product & Modeling Strategy
• Deliver AI Products that Drive Advisor Productivity
• Drive Adoption & Value Realization
• Lead and Develop a High-Performance Team

Director, Data & AI Products

• Define and execute the scientific roadmap for the company’s most critical asset, the Search and Recommendation stack.
• Drive the shift from classical ranking to next-generation, AI-native discovery experiences using the latest AI breakthroughs.
• Act as the primary counterpart to senior Product and Engineering leadership, determining how centralized ranking capabilities can unlock new marketplace opportunities.
• Own the high-level architectural decision-making for search ranking and recommendations, integrating the latest AI into our production stack.
• Champion a strategy to move from fragmented models to large-scale Ranking Foundation Models and orchestrate the distillation of this intelligence into efficient models.
• Manage and mentor a large, multi-disciplinary organization of Applied Scientists and ML Leaders, fostering a culture that bridges research and product deployment.
• Ensure our algorithms optimize for long-term business value while maintaining a healthy ecosystem for our supply partners.

Senior Director, ML/AI – Search and Recommendations

• Define and drive the strategic direction and operational execution of Artificial Intelligence capabilities
• Own the development, communication, and execution of the enGen AI roadmap
• Drive AI adoption and programs within enGen and across the enterprise
• Commercialize enGen's AI capabilities to identify and seed new revenue streams
• Create and nurture strong partnerships across the enterprise and within enGen
• Deliver flexible, high-quality AI solutions and operational frameworks adhering to privacy policies

VP AI Strategy – Enablement

• Develop and lead change management and adoption strategies for AI engagements, including stakeholder engagement, communication, and training support.
• Partner with business leaders, project teams, and peer functions to assess readiness and address barriers to adoption.
• Coordinate cross-functional activities to support smooth transitions from design through implementation and sustainment.
• Recommend and document policies, procedures, and change practices that improve organizational effectiveness.
• Support project planning and execution using Traditional and Agile SDLC methodologies and collaboration tools such as VSTS and Jira.
• Monitor adoption outcomes, identify improvement opportunities, and recommend corrective actions where needed.
• Communicate effectively with stakeholders at all organizational levels to build understanding, commitment, and alignment.

Change and Adoption Lead – Artificial Intelligence

• Lead project and portfolio management activities for AI programs, including planning, status tracking, risk management, and reporting.
• Coordinate with business stakeholders, technical teams, and peer functions to support effective project delivery and communication.
• Apply Traditional and Agile SDLC methodologies to manage timelines, dependencies, scope, and resource coordination.
• Use collaboration and project management tools such as VSTS, Jira, and related platforms to drive visibility and accountability.
• Develop and maintain project governance documentation, standards, and procedures.
• Supervise team members and support continuous improvement in project execution practices.
• Communicate project status, risks, issues, and recommendations clearly to stakeholders across all levels of the organization.

PMO Manager – Artificial Intelligence

• Develop and maintain governance frameworks, policies, and procedures for AI initiatives and related technology programs.
• Provide oversight of risk, compliance, documentation, and controls.
• Partner with stakeholders and leaders to align governance requirements with project planning, delivery, and execution.
• Lead and coordinate teams while collaborating closely with peer functions across technology and business operations.
• Support project governance using Traditional and Agile SDLC methodologies and collaboration tools such as VSTS, Jira, and similar platforms.
• Recommend improvements to policies, processes, and governance structures.
• Communicate governance expectations, project status, and recommendations effectively across all levels of the organization.

Governance Lead – Artificial Intelligence

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Lead the enterprise AI activation and transformation function, including building and guiding a team responsible for AI strategy, enablement, and execution.
• Establish a long-term vision that balances innovation with responsible adoption.
• Translate enterprise priorities into a clear, actionable AI strategy.
• Identify opportunities to re-engineer business processes using AI, from problem identification through implementation and value realization.
• Balance near-term productivity gains with longer-term innovation efforts across a diversified AI portfolio.
• Lead BECU’s internal AI innovation incubator that operates as an internal VC fund, identifying internal opportunities to drive change, funding them, and tracking them as part of the broader AI portfolio.
• Oversee AI governance, including policies, standards and decision frameworks that enable responsible and scalable adoption.
• Partner with leaders across business, technology, and operations to embed AI into real workflows.
• Establish and evolve enterprise AI governance, including policies, standards, and decision frameworks that ensure ethical, compliant, and scalable AI adoption.
• Build organizational capability through education, coaching, and enablement—helping employees develop confidence and fluency in AI tools.
• Influence senior leaders and manage cross-functional partnerships, ensuring alignment with regulatory expectations, risk tolerance, and member trust.

VP, AI Transformation

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable
• Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions
• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows
• Monitor deployed models for performance degradation, bias, drift, and operational issues
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions

Senior Applied Artificial Intelligence Engineer

• Own the end-to-end strategy, pipeline, and revenue narrative for your vertical
• Develop, build and implement the vertical growth strategy
• Team Leadership & organizational alignment across global cross matrixed vertical team
• Define, create and communicate the AI vertical strategy and GTM direction
• Own vertical P&L narrative, pipeline and bookings performance against vertical targets
• Create a strong vertical pipeline through solution-led motions including programs and sales resources
• Build and develop lighthouse customer relationships
• Lead executive-level customer and partner engagements
• Influence investment decisions and resource allocation across a matrixed organization
• Translate AI market trends, customer signals, and competitive dynamics into actionable GTM plays
• Lead vertical QBRs and drive pipeline health reviews across the global team
• Coach and guide both the matrixed vertical team and 'Peaked' GEO sellers assigned to your vertical
• Collaborate with Alliance and Channel teams to maximize ISV and partner co-sell value

Global Head of Retail Vertical AI Sales

• Lead the end-to-end strategy, pipeline, and revenue narrative for your vertical
• Develop, build and implement the vertical growth strategy
• Team Leadership & organizational alignment across global cross matrixed vertical team
• Define, create and communicate the AI vertical strategy and GTM direction
• Own vertical P&L narrative, pipeline and bookings performance against vertical targets
• Create a strong vertical pipeline through solution-led motions
• Build and develop lighthouse customer relationships
• Lead executive-level customer and partner engagements
• Influence investment decisions and resource allocation across a matrixed organization
• Translate AI market trends, customer signals, and competitive dynamics into actionable GTM plays
• Collaborate with Alliance and Channel teams to maximize ISV and partner co-sell value within the vertical
• Travel at >30% of time with focus on customer facing engagements

Global Head of Manufacturing Vertical AI Sales

• Evaluate and compare AI-generated responses in French
• Perform side-by-side analysis of outputs from different AI systems
• Assess responses for accuracy, relevance, clarity, and instruction-following
• Identify nuances in meaning, tone, and cultural context
• Apply structured annotation guidelines consistently
• Work with datasets of real user queries

AI Evaluation Specialist, French-Speaking

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable
• Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions
• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows
• Improve model performance, latency, cost efficiency, reliability, and explainability in production environments
• Develop reusable infrastructure, tooling, libraries, and patterns that accelerate team delivery
• Monitor deployed models for performance degradation, bias, drift, and operational issues; recommend and implement corrective actions
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions

Artificial Intelligence jobs in Washington

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Associate Editor, Artificial Intelligence

Lead AI Hyperspecialist Sales

Head of AI Clinical Excellence

Senior Associate, AI Governance

Artificial Intelligence Architect – Senior/Lead

Senior AI Conversation Designer

AI Safety Expert – Temporary Full-Time Project

Director, Data & AI Products

Senior Director, ML/AI – Search and Recommendations

VP AI Strategy – Enablement

Change and Adoption Lead – Artificial Intelligence

PMO Manager – Artificial Intelligence

Governance Lead – Artificial Intelligence

VP, Enterprise AI Enablement

VP, AI Transformation

Senior Applied Artificial Intelligence Engineer

Global Head of Retail Vertical AI Sales

Global Head of Manufacturing Vertical AI Sales

AI Evaluation Specialist, French-Speaking

Senior Applied Artificial Intelligence Engineer