Staff AI Organizational Architect

🔥 12 minutes ago

🇺🇸 United States – Remote

💵 $190k - $210k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 0%

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Lumin Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🤝 B2B

☁️ SaaS

Fintech • B2B • SaaS

Lumin Digital is a company that specializes in providing next-generation digital banking solutions for credit unions and banks. Their platform offers a wide array of services, including retail and commercial banking solutions, digital account opening, and tools to enhance user engagement and operational efficiency. With a focus on innovation and cutting-edge technology, Lumin Digital leverages artificial intelligence and robust security features to offer seamless, cloud-native services with near-perfect uptime. They are known for delivering business growth and cost savings for financial institutions, adapting to new technologies, and offering an enhanced user experience.

📋 Description

• Define and continuously evolve Lumin Digital's internal AI technical strategy • Evaluate models, vendors, platforms, frameworks, and deployment architectures against capability, cost, reliability, security, and business fit • Build and maintain visibility into enterprise AI usage, adoption, and spend • Help leaders connect AI investment to business outcomes and identify where spend should be reduced or increased • Advise executives, business leaders, and engineering teams on AI use cases, experiments, and implementation approaches • Help successful AI experiments become repeatable, supportable capabilities • Partner with Risk, Compliance, and Legal on responsible AI standards, decision rights, review processes, and escalation paths • Own recurring reviews of AI platforms, models, configurations, and controls • Establish and communicate internal AI standards, reference architectures, and recommended technologies • Challenge weak assumptions, unnecessary complexity, and poor technology choices • Personally evaluate AI models, APIs, and frameworks through direct implementation • Prototype and validate new AI capabilities and own technical risk assessment through working code • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field required, or equivalent combination of education and experience • 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 • 2+ years working with LLMs and model APIs in product contexts, including RAG, agents, or fine-tuning at scale • 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 • 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 capability, cost, reliability, security, and operational fit • Strong command of AI economics, including usage-based pricing, infrastructure tradeoffs, and cost optimization at scale • Familiarity with AI security and data privacy considerations for enterprise deployments • Demonstrated ability to advise executives and non-technical leaders with clear, direct recommendations • Experience influencing technology decisions across an organization without 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 • 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 meet the role's travel requirements • Relevant certifications in AI/ML, cloud platforms (AWS, Azure, GCP), or enterprise architecture are a plus • Master's degree in a related field preferred • Experience in financial services, fintech, or SaaS preferred • Prior Staff, Principal, or VP-level individual contributor role preferred • Experience building or running internal AI enablement programs, communities of practice, or governance councils preferred • Familiarity with formal AI governance and responsible AI frameworks preferred • Industry visibility through writing, speaking, or open-source contribution preferred

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with company match • Flexible 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 get-togethers per year

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