VP, Development – AI & Data

Lumin Digital

VP of AI & Data Engineering leading AI roadmap for Lumin Digital's digital banking solutions. Building and mentoring teams while driving innovative AI technology adoption.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesLead💰 $300,000 - $320,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead the development and execution of Lumin's AI roadmap, encompassing Generative AI, agentic AI, and machine learning, as well as the data capabilities that underpin those technologies.
Build and mentor a high-performing team of engineers and data scientists.
Define the technical vision for delivering cutting-edge AI capabilities.
Partner closely with product and engineering leadership to bring transformative AI-driven solutions to market.
Clearly and continuously communicate technical direction, team progress, and delivery details to leadership and stakeholders across the organization.
Champion the adoption and integration of Generative AI, agentic AI, and machine learning technologies across all product areas.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field. MS degree or PhD preferred.
At least 10 years of experience in software engineering, data engineering, or machine learning, with at least 3 years in a senior leadership role overseeing AI or data teams.
Demonstrated hands-on experience building and deploying production AI systems, ideally Generative AI and agentic AI applications, in B2B SaaS cloud environments.
Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), LLM orchestration tools (e.g., LangChain, LlamaIndex), and data engineering platforms.
Proven track record of building and growing high-performing, multi-disciplinary teams of engineers and data scientists.
Experience in fast-paced startup or scale-up environments where hands-on technical contribution is expected alongside leadership.
Strong understanding of AI and data best practices, including model monitoring, versioning, retraining pipelines, RAG architectures, and agentic deployment strategies.
Experience working in or alongside highly regulated industries (e.g., financial services, healthcare) with a strong understanding of data privacy, compliance, and security requirements.
Data-driven approach to decision making, with the ability to derive actionable strategy from complex and ambiguous data.
Outstanding communication, presentation, and writing skills, with the ability to clearly convey AI and data concepts to non-technical stakeholders.
Experience collaborating with product, SRE, and security teams in a fast-paced, agile development environment.

Benefits

Comp & perks

medical, dental, and vision insurance
401(k) with company match
flexible PTO plus 12 paid holidays
paid sick leave
paid parental and family leave
lifestyle spending account
tuition reimbursement
cell phone stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Generative AIagentic AImachine learningTensorFlowPyTorchscikit-learnLangChainLlamaIndexdata engineeringB2B SaaS

Soft Skills

leadershipmentoringcommunicationpresentationwritingcollaborationdata-driven decision makingstrategic thinkingteam buildingproblem solving

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in MathematicsMS degreePhD