- Company Name
- Enterprise Engineering Inc. (EEI)
- Job Title
- Head of Artificial Intelligence
- Job Description
-
Job Title: Head of Artificial Intelligence
Role Summary: Senior cross‑functional leader and technical architect responsible for defining, executing, and scaling AI strategy and products across a regulated fintech platform. Combines executive leadership with hands‑on AI system design, prototyping, and deployment to deliver measurable business impact while ensuring security, compliance, and responsible AI.
Expectations: Deliver production‑grade AI solutions that differentiate products, enhance operational efficiency, and provide customer value. Embed regulator‑aligned AI governance, establish observability, auditability, and reliability for all AI systems, and build a high‑performing, technically proficient AI organization with clear direction and business alignment.
Key Responsibilities:
- Define company‑wide AI vision, long‑term roadmap, and prioritize high‑impact initiatives across product, platform, and operations.
- Lead AI Center of Excellence, governing safe, scalable AI adoption.
- Architect, prototype, and guide development of LLM‑based applications, RAG pipelines, agent frameworks, and ML workflows.
- Evaluate, select, and integrate enterprise‑grade AI tools, models, and platforms with stringent security and compliance.
- Conduct rapid experimentation, validate AI capabilities, and implement model evaluation, monitoring, observability, and lifecycle management.
- Enforce responsible AI practices (bias detection, privacy, transparency, explainability, auditability).
- Partner with Security, Risk, and Compliance to meet financial regulations (FFIEC, OCC, GLBA).
- Drive internal AI adoption across engineering, support, sales, risk, and operations.
- Design and deliver AI training and enablement programs.
- Collaborate with Product and GTM teams to translate AI into differentiated offerings and revenue impact.
- Build, mentor, and lead a team of ML engineers, data scientists, and applied AI practitioners.
Required Skills:
- 10+ years in data science, ML, AI engineering, or applied AI; 3+ years in senior leadership/executive roles.
- Proven hands‑on experience building and deploying production AI/ML systems.
- Deep expertise in LLMs, multimodal models, vector databases, ML pipelines, and distributed systems.
- Experience in regulated environments (fintech, banking, SaaS).
- Strong knowledge of data privacy, security architecture, and responsible AI frameworks.
- Ability to translate complex technical concepts into clear business value.
- Exceptional communication, influence, and cross‑functional leadership.
Required Education & Certifications:
- Bachelor’s degree (or higher) in Computer Science, Engineering, Statistics, Mathematics, or related field; advanced degree preferred.
- Relevant certifications in AI/ML, data engineering, or security/compliance (e.g., GCP Professional Data Engineer, AWS Certified Machine Learning, Certified Information Systems Security Professional) are a plus.
New york city, United states
Hybrid
Senior
30-12-2025