Lead Chartwell’s enterprise AI practice, governing AI adoption, developing governance frameworks, delivering education, and providing advisory support across the organization.
Responsibilities
Develop and evolve AI governance framework
Define controls for responsible AI use
Lead AI intake and review processes
Establish approval paths and risk classification
Partner with privacy, cybersecurity, legal, and technology leaders
The Vice President, AI Engineering sets the strategic direction for Enterprise AI Architecture, Engineering Delivery, Solution Strategy, and Product Management. This role serves as a strategic technology leader responsible for building, accelerating, governing, and scaling the delivery of the enterprise AI portfolio.
Locations (3)
United States
Minneapolis, Minnesota, United States
Washington, D.C., District of Columbia, United States
Responsibilities
Define and execute the enterprise AI strategy and multi‑year roadmap, leveraging advancements in Generative AI, LLMs, multimodal AI, Agentic AI, data platforms, and cloud technologies.
Lead the evolution of Enterprise AI across strategy, architecture, engineering, product management, platform capabilities, research, and value realization.
Own a portfolio-of enterprise AI capabilities spanning internally developed solutions and strategic platforms such as Microsoft Copilot, Google AgentSpace, and emerging AI technologies.
Own and operationalize the product marketing strategy for First Alert (Dataminr’s flagship Public Sector product), orchestrating cross-functional teams to deliver measurable impact on growth, adoption, and market positioning.
Responsibilities
Own and operationalize the product marketing strategy for First Alert
Author and develop high-impact customer- and sales-facing content
Partner with Product Management to identify needs and influence the product roadmap
Support sales and customer enablement with focused messaging and content
Represent Dataminr externally through industry forums, thought leadership, and analyst briefings
Requirements
Nice to have: experience working with government, military, or intelligence agencies
Set the vision for the Data Science & AI organization and turn advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.
Compensation
The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings.
Responsibilities
Set the vision for the Data Science & AI organization
Turn advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value
Guide a global, multidisciplinary organization from AI strategy to production-grade solutions
Lead enterprise-scale AI teams and bring AI solutions into production
Lead AI research and development of next‑generation AI solutions, focusing on large language models, vision‑language models, and multimodal AI systems.
Responsibilities
Lead research and development activities across LLM, VLM, and multimodal AI domains.
Design, implement, and evaluate AI models incorporating text, image, and multimodal reasoning capabilities.
Develop and optimise Retrieval‑Augmented Generation (RAG) architectures.
Drive experimentation, model evaluation, benchmarking, and validation activities.
Fine‑tune and adapt foundation models for business‑specific use cases.
Requirements
Bachelor’s or Master’s degree in Engineering, Computer Science, Artificial Intelligence, Robotics, Electrical & Electronic Engineering, or related STEM discipline
Nice to have: Generative AI product development
Nice to have: Computer Vision and image understanding systems
Nice to have: AI agent frameworks and autonomous workflows
Nice to have: Knowledge graphs and semantic retrieval systems
Lead product strategy, roadmap, and experience for AI wearables and IoT software across consumer devices, companion apps, cloud services, and AI ecosystems.
Responsibilities
Own AI Wearable & IoT Software Experience Strategy
Define overall software experience vision, annual strategy, and product roadmap
Identify emerging market opportunities, user needs, technology trends, and competitive differentiation opportunities
Establish clear product positioning, target users, hero experiences, and key user journeys for each product category
Balance foundational user experience excellence with differentiated, AI-powered innovations
Researching and designing multimodal search and curation systems optimized for Physical AI data, developing datasets and benchmarks, translating research into production-grade software, and staying current with data curation and multimodal learning.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Researching and designing multimodal search and curation systems optimized for Physical AI data
Developing datasets, benchmarks, and experimental frameworks for data curation in robotics and AV contexts
Translating research into production-grade software and documentation
Staying current with the latest in data curation, information retrieval, and multimodal learning
Requirements
M.S. or Ph.D. in machine learning, information retrieval, robotics, AV, or multimodal AI
Nice to have: mentoring junior researchers or engineers
Nice to have: large-scale video data collection and processing
Establish and scale the AI operating model, governance, and delivery frameworks that enable responsible, secure, and efficient adoption of AI across the enterprise.
Partner across Enterprise AI, Digital, Data, Infrastructure, Security, and Architecture organizations to drive strategic alignment, platform interoperability, technology standards, and capability reuse.
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