[Hiring] Staff AI Organizational Architect @Lumin Digital

Role Description

Lumin Digital is hiring a Staff AI Organizational Architect to own the technical strategy for how we use AI across the company. This is a senior individual contributor role responsible for bringing clarity and accountability to Lumin's growing AI investment.

• Define and continuously evolve Lumin's internal AI technical strategy, including evaluation of models, vendors, platforms, frameworks, and deployment architectures against criteria of capability, cost, reliability, security, and business fit.
• Build and maintain clear visibility into AI usage, adoption, and spend across the enterprise; help leaders connect AI investment to meaningful business outcomes and identify where spend should be reduced or increased.
• Serve as a trusted technical advisor to executives, business leaders, and engineering teams evaluating AI use cases, experiments, and implementation approaches.
• Help successful AI experiments become repeatable, supportable capabilities; distinguish productive experimentation from work unlikely to create sufficient value.
• Partner with Risk, Compliance, and Legal to evolve Lumin's approach to responsible AI use, including establishing practical standards, decision rights, review processes, and escalation paths.
• Own a defined cadence of reviews for AI platforms, models, configurations, and controls; maintain current awareness of emerging risks and capabilities.
• Establish and communicate Lumin's internal AI standards, reference architectures, and recommended technologies; provide consistent, technically credible guidance to the organization.
• Challenge weak assumptions, unnecessary complexity, and poor technology choices across teams; translate rapidly changing AI capabilities into practical recommendations.
• Personally evaluate AI models, APIs, and frameworks through direct implementation.
• Prototype and validate new AI capabilities before recommending them for broader adoption; own the technical risk assessment through working code, not just documentation.
• Perform other duties as assigned.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field required, or equivalent combination of education and experience.
• Master's degree in a related field preferred.
• Relevant certifications in AI/ML, cloud platforms (AWS, Azure, GCP), or enterprise architecture are a plus.

Requirements

• 8+ years in software engineering, solutions architecture, or a closely related technical discipline.
• 3+ years of hands-on experience designing, evaluating, or implementing production AI systems (not just consuming AI tools).
• 2+ years working with LLMs and model APIs in product contexts - RAG, agents, or fine-tuning at scale (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or equivalent).
• 2+ years working in a regulated or compliance-sensitive environment such as financial services, fintech, or healthcare.
• 1+ years designing or contributing to enterprise-scale technical standards, reference architectures, or governance frameworks.

Knowledge, Skills, and Abilities

• Deep 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 approaches against real tradeoffs: capability, cost, reliability, security, and operational fit.
• Strong command of AI economics: usage-based pricing, infrastructure tradeoffs, and cost optimization at scale.
• Familiarity with AI security and data privacy considerations relevant to enterprise deployments.
• Demonstrated ability to advise executives and non-technical leaders with clear, direct recommendations.
• Experience influencing technology decisions across an organization without relying on direct authority.
• Strong written and verbal communication skills; able to produce technically credible and actionable enterprise communications.
• Organized, self-directed, and comfortable operating with minimal oversight in an ambiguous, fast-moving environment.

Preferred / Nice to Have

• Experience in financial services, fintech, or SaaS.
• Prior Staff, Principal, or VP-level IC role with cross-functional scope.
• Experience building or running internal AI enablement programs, communities of practice, or governance councils.
• Familiarity with formal AI governance and responsible AI frameworks.
• Industry visibility through writing, speaking, or open-source contribution.

Travel

• Minimal, generally 12 days or less per year, ~2X team get-togethers a year.

Benefits

• Medical, dental, and vision insurance.
• 401(k) with company match.
• Flexible PTO plus 12 paid holidays.
• Paid sick leave, parental and family leave.
• Lifestyle spending account, tuition reimbursement, and a cell phone stipend.