Director, Applied AI & Data Science

Vantor; Herndon (VA); On-site; USD 182,000 - 266,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Holdings, Inc. is seeking an Applied AI Science Leader in Herndon, VA to drive research, development, and production AI initiatives across geospatial and multimodal AI.

You will mentor scientists, guide model strategy, and ensure rigorous evaluation and deployment practices to deliver real-world decision intelligence. Responsibilities include roadmap execution, cross-functional collaboration with product, engineering, sales, and leadership, and building scalable AI systems on modern cloud

Qualifications

• Must be a United States citizen and eligible to obtain a security clearance.
• 10+ years of experience in machine learning, applied AI, data science, AI engineering, decision science, or related discipline.
• 5+ years of experience leading technical teams of scientists, engineers, or data scientists.
• Proven track record deploying production AI/ML systems with measurable impact.

Responsibilities

• Lead and grow a high-performing Applied AI Scientists team across geospatial AI, multimodal learning, vision-language models, LLMs, and production ML.
• Define and execute a roadmap translating customer and mission needs into priorities, milestones, and deployable capabilities.
• Oversee end-to-end ML pipelines, deployment ownership, monitoring, and lifecycle management with engineering partners.
• Drive the adoption of agentic AI as a force multiplier across the organization.
• Establish standards for safe, reliable, auditable AI workflows, experimentation, and evaluation.
• Shape near-zero-latency intelligence and decision systems delivering timely signals to stakeholders.

Skills

Multimodal AI

Vision-language models

LLMs

Reasoning systems

Agentic AI

Geospatial AI

Remote sensing

Predictive modeling

Causal inference

Experimentation frameworks

Large-scale ML systems

AI infrastructure

Production ML

Education

MS or PhD in Computer Science / ML / AI / Applied Math / Statistics

Tools

Cloud ML platforms

Containerized deployment

Model serving & monitoring

Experiment tracking

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Leadership Profile

Outcome-oriented.Focused on shipping AI capabilities that create measurable customer, product, and business impact.

AI-native.Energized by using agentic AI to transform how scientific, analytical, and engineering work gets done.

Technically credible.Able to challenge assumptions, review architectures, guide model strategy, and earn the respect of senior scientists and engineers.

Experimentation-driven.Skilled at using evidence, causal reasoning, and rigorous evaluation to make better product and technical decisions.

Operationally disciplined.Able to create systems, rituals, metrics, and accountability mechanisms that improve execution.

Decisive.Willing to stop low-impact work, redirect resources, and make hard prioritization calls based on evidence.

Customer-oriented.Able to connect technical decisions to real-world operational value and mission outcomes.

Collaborative.Comfortable operating across research, product, engineering, infrastructure, sales, customer, and executive teams.

Responsibilities

Applied AI Science Leadership

• Lead, grow, and develop a high-performing team of Applied AI Scientists working across geospatial AI, multimodal learning, vision-language models, LLMs, reasoning systems, predictive modeling, and production ML.
• Define and execute the Applied AI Science roadmap, translating ambiguous customer, market, and mission needs into clear technical priorities, measurable milestones, and deployable AI capabilities.
• Guide the design andproductionalizationof AI-driven applications that transform large-scale geospatial, imagery, structured, and contextual data into actionable insights, predictive signals, and decision intelligence.

Agentic AI Adoption & Team Acceleration

• Champion the adoption of agentic AI as a force multiplier for the Applied AI Science organization, using AI agents to accelerate research, experimentation, evaluation, documentation, code review, and production support.
• Identifyand automate high-friction scientific workflows, reducing cycle time from hypothesis tovalidatedproduction capability while improving output quality and repeatability.
• Establish standards for safe, reliable, and auditable use of AI agents across model development, experimentation, evaluation, and operational workflows.

Near-Zero-Latency Intelligence & Decision Systems

• Drive the vision for a near-zero-latency intelligence culture, where critical signals are detected, interpreted, and delivered to decision-makers with minimal delay.
• Build a proactive intelligence operating model thatidentifiesmarket shifts, customer behavior changes, user behavior trends, geopolitical signals, operational risks, and emerging opportunities before they are visible through traditional reporting.
• Oversee automated insight-generation systems, self-service intelligence platforms, decision-support tools, and AI-powered workflows that empower Product, Engineering, Sales, Customer Success, Operations, and Executive Leadership.

Experimentation, Evaluation & Causal Reasoning

• Establish the company-wide standard for experimentation, model evaluation, and evidence-based decision-making across AI, analytics, and product development.
• Serve as a senior authority on complex evaluation problems, including causal inference, counterfactual analysis, A/B testing, benchmark design, offline model evaluation, human-in-the-loop assessment, and launch readiness.
• Define rigorous evaluation criteria for Generative AI, agentic AI, multimodal AI, geospatial models, predictive systems, and ML-enabled product capabilities, ensuring models are reliable, robust, explainable, and fit for production.

Production ML, Infrastructure & Operational Excellence

• Oversee end-to-end AI/ML pipelines, including data ingestion, preprocessing, feature engineering, training, evaluation, inference, monitoring, and retraining.
• Partner with Engineering to move models from prototype to production with clear ownership across deployment, model serving,monitoring, incident response, lifecycle management, and continuous improvement.
• Ensure AI systems are built for scalability, latency, cost efficiency, security, reliability, reproducibility, and operational resilience on modern cloud infrastructure.

Portfolio Discipline & Cross-Functional Influence

• Use data, experimentation results, model performance, customer feedback, and business impact to guide prioritization across the Applied AI Science portfolio.
• Secure cross-functional alignment for data-driven pivots, including stopping underperforming initiatives, reallocating resources, changing technical direction, or accelerating higher-value opportunities.
• Advise Product, Engineering, Go-to-Market, Customer Success, Research, and executive leaders on evaluation criteria, growth strategy, adoption strategy, and investment decisions for AI-enabled products.

Minimum Qualifications

• Must be a United States citizen and eligible to obtain a security clearance.
• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, or a related technical field.
• 10+ years of experience in machine learning, applied AI, data science, AI engineering, decision science, or a related technical discipline.
• 5+ years of experience leading technical teams, including applied scientists, machine learning engineers, AI researchers, data scientists, or comparable technical talent.
• Demonstrated experience building, deploying, and operating production AI/ML systems with measurable customer, product, operational, or business impact.
• Strong technical depth in several of the following areas: multimodal AI, vision-language models, LLMs, reasoning systems, agentic AI, computer vision, geospatial AI, remote sensing, predictive modeling, causal inference, experimentation, or large-scale ML systems.
• Experience building end-to-end ML systems, including data pipelines, training workflows, evaluation frameworks, scalable inference, model monitoring, and retraining.
• Experience defining experimentation standards, model evaluation frameworks, causal inference approaches, or launch-readiness criteria for AI/ML products.
• Strong understanding of modern AI infrastructure, including cloud-based ML platforms, distributed training, containerized deployment, model serving, dataset versioning, and experiment tracking.

Pay Transparency

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

• The base pay for this position within the Washington, DC metropolitan area is: $182,000.00 - $242,000.00 - $266,200.00 annually.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The date of posting can be found on Vantor's Career page at the top of each job posting.

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.