Hatch IT - Sr. Director, Generative & Agentic AI

• Generative AI & LLM/SLM Platform • Execute the generative AI strategy, including LLM vs. SLM and RAG vs. fine-tuning decision frameworks. • Architect scalable, multilingual inference pipelines optimized for performance, reliability, and AI economics. • Lead model tooling selection and partnerships across proprietary and open-weight ecosystems. • Agentic AI & Workflow Automation • Design agent architectures that automate investigations and cross-platform analytical workflows. • Build agentic systems that leverage the Knowledge Graph for reasoning, task planning, and orchestration. • Introduce agentic capabilities that improve internal engineering and operational workflows. • AI Integration & Safe, Secure Delivery • Support Product and Engineering teams in embedding AI capabilities into customer workflows. • Contribute to AI productization through governance, telemetry, automated testing, and adversarial evaluation. • Help design and implement safeguards, guardrails, and drift-monitoring controls. • Organizational Leadership & Collaboration • Lead and develop AI engineers and applied scientists through mentorship and technical leadership. • Partner closely with Engineering, Product, and Data leaders to ensure aligned execution. • Represent AI capabilities and strategy internally and, as needed, with customers and partners. • 10+ years of experience in AI/ML, applied analytics, or advanced data systems, including 3–5 years leading technical teams delivering production GenAI capabilities. • Demonstrated experience applying generative and agentic AI capabilities to intelligence applications, including investigative analysis, entity and relationship discovery, pattern detection, and analyst-driven workflows in high-stakes or mission-critical environments. • Strong technical expertise in agentic AI, workflow automation, orchestration frameworks, and evaluation techniques. • Experience designing systems that minimize hallucinations and enforce safe, predictable AI behavior. • Hands-on experience with cloud-native AI infrastructure, inference optimization, and cost-aware system design. • Ability to translate complex AI concepts into practical, mission-ready product capabilities. • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams. • Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred. • Bachelor’s degree in Computer Science, Engineering, AI/ML, or a related technical field required. • Master’s degree or PhD preferred. • $210,000 - $240,000 a year • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.