Enterprise Engineering Inc. (EEI) · 1 month ago
Head of AI
Enterprise Engineering Inc. (EEI) is seeking a Head of AI to shape the AI vision and deliver impactful capabilities across their platform. This role combines technical expertise with strategy, ensuring AI investments drive business value while maintaining security and compliance.
Information TechnologySoftware
Responsibilities
Define and own company-wide AI strategy and long-term roadmap
Establish and lead the AI Center of Excellence, including governance, best practices, and enterprise enablement
Identify and prioritize high-impact AI opportunities across product, platform, and operations
Communicate AI strategy, progress, and insights to executives, clients, partners, and investors
Architect and guide development of AI/ML systems and tools (LLMs, RAG, ML pipelines, agent frameworks, etc.)
Evaluate, select, and integrate enterprise-grade AI solutions that align with Ninth Wave's security and regulatory standards
Build the foundation for scalable AI features, including model evaluation, monitoring, observability, and lifecycle management
Lead rapid prototyping and experimentation to validate and iterate on new AI-driven capabilities
Implement and enforce responsible AI policies (bias detection, privacy, transparency, auditability)
Partner with Security and Compliance to ensure adherence to financial and regulatory frameworks (FFIEC, OCC, GLBA)
Oversee development of clean, reliable, and AI-ready datasets within Ninth Wave's architecture
Drive adoption of AI tools across teams to enhance productivity (engineering acceleration, customer support, sales enablement, risk analytics, and more)
Develop and deliver internal training programs on AI capabilities, emerging technologies, and responsible use
Collaborate with Product to design AI-enabled features that solve real client problems
Build and lead a world-class AI organization, including ML engineers, data scientists, and applied AI researchers
Foster a culture of innovation, secure-by-design thinking, and continuous learning
Qualification
Required
10+ years of experience in data science, machine learning, or AI engineering roles, including 3+ years in a leadership or executive capacity
Proven experience building and deploying AI/ML solutions in production environments
Deep understanding of modern AI/ML methodologies, including LLMs, multimodal models, vector databases, and distributed systems
Experience in regulated industries (fintech, banking, enterprise SaaS, etc.)
Strong understanding of data privacy, security architecture, and responsible AI frameworks
Ability to translate complex AI concepts into clear business value for internal and external audiences
Exceptional communication, storytelling, and cross-functional leadership skills
Preferred
Experience with API-driven platforms, data connectivity products, or financial technology ecosystems
Hands-on familiarity with RAG architectures, agentic workflows, and enterprise AI infrastructure
Experience building corporate AI training programs or organizational AI enablement initiatives
Prior experience engaging directly with clients, regulators, or enterprise partners on AI topics
Deep expertise in AI technologies, machine learning, generative AI, data architecture, cloud platforms (AWS, Azure, GCP), and MLOps
A strong understanding of banking operations, open banking principles, risk management, and relevant regulatory landscapes
An advanced degree (Master's or PhD) in Computer Science, Data Science, AI, or a related field is typically preferred
Company
Enterprise Engineering Inc. (EEI)
Founded in 1995, Enterprise Engineering, Inc.
H1B Sponsorship
Enterprise Engineering Inc. (EEI) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase