Lead AI Engineer

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

📋 Description

• Establish the AI engineering roadmap and architectural standards throughout the organization.

• Lead the decision-making process regarding build, buy, or integrate options for AI systems and platforms, ensuring accountability in articulating the rationale behind these decisions.

• Assess emerging tools, frameworks, and models; offer clear and justifiable recommendations to leadership.

• Act as the primary technical escalation point for intricate AI/ML system design challenges.

• Design AI solutions tailored for our enterprise platform.

• Create systems that prioritize scalability, reliability, and cost-effectiveness in production settings.

• Implement LLMOps practices.

• Ensure seamless integration of AI systems with existing product and engineering infrastructure.

• Collaborate closely with Product and Engineering leadership to ensure AI capabilities align with business objectives.

• Receive operational support to initiate and facilitate cross-functional engagement.

• Provide clear direction on resource allocation.

• Simplify complex technical concepts for non-technical stakeholders.

• Advocate for and implement AI-assisted coding practices and developer tools throughout the engineering organization.

• Establish standards for responsible AI development, including guardrails, evaluation frameworks, and security measures.

• Foster a culture of continuous improvement in how the organization develops and delivers AI-driven features.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline (or equivalent practical experience).

• Over 8 years of software engineering experience, showcasing expertise in designing and delivering production systems where correctness, reliability, and auditability are critical.

• At least 2 years of experience developing production LLM/GenAI and agentic systems, along with fluency in AI-assisted coding tools and the ability to establish organization-wide standards, evaluations, and guardrails for AI-generated code.

• Strong judgment regarding the appropriate use of AI, ensuring that probabilistic agents are used for customer-facing and research tasks, while maintaining deterministic, auditable, and human-governed processes for policy adherence, financial transactions, and compliance.

• Experience in making and communicating build vs. buy vs. integrate decisions at an organizational level.

• Proficiency in Python and familiarity with the contemporary GenAI application stack, including agent/orchestration frameworks (e.g., LangChain, LlamaIndex, or similar), model-provider SDKs, vector databases, and evaluation tools.

• Outstanding written and verbal communication skills, capable of drafting a clear architecture decision record and presenting it to a board-level audience.

🏝️ Benefits

• Health, dental, and vision insurance plans.

• Excellent work-life balance with 4 weeks of Paid Time Off.

• 10 Paid Company Holidays plus 2 floating holidays.

• 401K Programs with employer matching contributions.

• Personal assistance programs to support a healthy personal and professional life.