Staff AI Organizational Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and continuously enhance the internal AI technical strategy of Lumin Digital.

• Assess models, vendors, platforms, frameworks, and deployment architectures based on capability, cost, reliability, security, and business alignment.

• Develop and maintain transparency regarding enterprise AI usage, adoption, and expenditures.

• Assist leaders in linking AI investments to business results and identifying areas for expenditure adjustments.

• Provide guidance to executives, business leaders, and engineering teams on AI use cases, experiments, and implementation strategies.

• Facilitate the transformation of successful AI experiments into repeatable and supportable capabilities.

• Collaborate with Risk, Compliance, and Legal teams on responsible AI standards, decision rights, review processes, and escalation protocols.

• Oversee regular evaluations of AI platforms, models, configurations, and controls.

• Establish and communicate internal AI standards, reference architectures, and recommended technologies.

• Challenge weak assumptions, unnecessary complexities, and poor technology decisions.

• Personally assess AI models, APIs, and frameworks through direct implementation.

• Prototype and validate novel AI capabilities and manage technical risk assessment with functional code.

• Carry out other assigned duties.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field is required, or an equivalent combination of education and experience.

• A minimum of 8 years in software engineering, solutions architecture, or a closely related technical area.

• At least 3 years of hands-on experience in designing, evaluating, or implementing production AI systems.

• A minimum of 2 years working with LLMs and model APIs in product contexts, including RAG, agents, or large-scale fine-tuning.

• At least 2 years of experience in a regulated or compliance-sensitive environment such as financial services, fintech, or healthcare.

• A minimum of 1 year designing or contributing to enterprise-scale technical standards, reference architectures, or governance frameworks.

• Extensive working knowledge of large language models, model APIs, AI platforms, agentic systems, and retrieval-augmented generation (RAG).

• Ability to evaluate AI vendors, models, and deployment strategies based on capability, cost, reliability, security, and operational fit.

• Strong understanding of AI economics, including usage-based pricing, infrastructure trade-offs, and cost optimization at scale.

• Familiarity with AI security and data privacy considerations for enterprise implementations.

• Proven ability to advise executives and non-technical leaders with clear, direct recommendations.

• Experience in influencing technology decisions across an organization without direct authority.

• Excellent written and verbal communication skills; capable of producing technically credible and actionable enterprise communications.

• Organized, self-motivated, and comfortable working with minimal supervision in a fast-paced, ambiguous environment.

• Ability to work from an approved location within the continental United States, excluding Montana, Alaska, and Hawaii.

• Legally authorized to work in the United States.

• Must be able to fulfill the travel requirements of the role.

• Relevant certifications in AI/ML, cloud platforms (AWS, Azure, GCP), or enterprise architecture are advantageous.

• A Master's degree in a related field is preferred.

• Experience in financial services, fintech, or SaaS is preferred.

• Prior experience in Staff, Principal, or VP-level individual contributor roles is preferred.

• Experience in building or managing internal AI enablement programs, communities of practice, or governance councils is preferred.

• Familiarity with formal AI governance and responsible AI frameworks is preferred.

• Industry visibility through writing, speaking, or open-source contributions is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with company match.

• Flexible paid time off (PTO).

• 12 paid holidays.

• Paid sick leave.

• Paid parental and family leave.

• Lifestyle spending account.

• Tuition reimbursement.

• Cell phone stipend.

• Minimal travel, generally 12 days or less per year.

• Approximately two team gatherings per year.