ECS is seeking an AI Technical Lead to advance secure, resilient, and integrated AI systems across the enterprise, driving secure-by-design adoption, vulnerability management, and cross-sector AI integration.
Requirements
- Minimum 5–8 years of experience in AI/ML engineering or related fields.
- At least 3–5 years of experience in a leadership or technical lead capacity managing teams of 10+ personnel.
- Demonstrated success in secure AI system design, vulnerability management, and multi-sector AI integration.
- Proven experience developing and executing AI strategic roadmaps within enterprise or government environments.
- Deep expertise with AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, Azure, Google Cloud).
- Experience with AI observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Knowledge of vulnerability scanning, threat modeling, and incident response for AI workloads.
Responsibilities
- Lead, mentor, and inspire a team of 20 AI engineers, data scientists, and specialists, providing technical direction, performance feedback, and professional growth opportunities.
- Champion secure-by-design principles in AI development, ensuring that cybersecurity, privacy, and resilience are embedded throughout the system lifecycle.
- Design and oversee AI vulnerability management strategies, including the identification, assessment, mitigation, and continuous monitoring of risks in models and infrastructure.
- Drive cross-sector and multi-system AI integration efforts to ensure interoperability, scalability, and consistent security across platforms and domains.
- Lead the development and execution of comprehensive AI roadmaps, aligning initiatives with mission objectives, technology trends, and compliance requirements.
- Oversee the design and deployment of observability architectures, tools, and dashboards to monitor model performance, detect anomalies, and maintain data integrity.
- Partner with product, cybersecurity, and operations teams to deliver integrated AI solutions that balance innovation, security, and operational excellence.
Other
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong interpersonal, communication, and mentoring skills to guide cross-functional technical teams.
- Proven ability to translate complex AI and cybersecurity concepts into actionable recommendations for executives and stakeholders.
- Experience with Agile/Scrum methodologies, backlog prioritization, and risk-based resource management.
- Must be a U.S. Citizen and eligible to obtain and maintain a Department of Homeland Security (DHS) EOD clearance (requires a favorable background investigation).