Lead AI Engineer
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Job Description
Lead AI Engineer modernizing InsCipher’s insurance compliance platform with production GenAI and agentic systems. Defining AI architecture, LLMOps standards, and enterprise engineering practices.
Responsibilities:
- Define the AI engineering roadmap and architecture standards across the organization
- Lead build vs. buy vs. integrate decisions for AI systems and platforms
- Evaluate emerging tools, frameworks, and models and provide recommendations to leadership
- Serve as the ultimate technical escalation point for complex AI/ML system design challenges
- Architect AI solutions for the enterprise platform across process and underlying platform architecture layers
- Design systems for scale, reliability, and cost-efficiency in production environments
- Establish LLMOps practices, including evaluation and regression suites, cost and quality observability, versioned prompts and configurations, staged rollout and rollback, and production guardrails
- Ensure AI systems integrate cleanly with existing product and engineering infrastructure
- Partner with Product and Engineering leadership to align AI capabilities with business outcomes
- Coordinate cross-functional engagement while focusing on technical leadership and decision-making
- Guide resource allocation and engagement sequencing
- Translate complex technical concepts for executives and business stakeholders
- Challenge approaches that compromise long-term system health
- Champion and introduce AI-assisted coding practices and developer tooling across engineering
- Define standards for responsible AI development, guardrails, evaluation frameworks, and security considerations
- Drive continuous improvement in building and shipping AI-powered features
- Perform other duties as requested, directed, or assigned
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
- 5+ years of software engineering experience with a meaningful portion in production AI/ML or LLM/GenAI systems
- 2+ years building production LLM/GenAI and agentic systems
- Fluency with AI-assisted coding tooling and judgment to set organization-wide standards, evaluations, and guardrails for AI-generated code
- Demonstrated track record of rebuilding an existing business process with AI at its core within an existing enterprise environment, shipped to production and owned the outcome
- Production experience with LLM/GenAI and agentic systems, including agent orchestration, tool calling, RAG, and structured outputs
- Sound judgment about appropriate and inappropriate AI use in customer-facing, research, policy binding, money movement, and compliance flows
- Experience making and communicating organizational build vs. buy vs. integrate decisions
- Proficiency in Python and the modern GenAI application stack, including agent and orchestration frameworks, model-provider SDKs, vector databases, and evaluation tooling
- Exceptional written and verbal communication skills
- Preferred: Direct evidence of legacy-process redesign with latitude to alter underlying platform architecture
- Preferred: Enterprise or regulated-domain experience, ideally in insurance or financial services
- Preferred: Technical lead or principal engineer experience with broad organizational influence
- Preferred: Experience working closely with product engineering teams in a dual-track agile model
- Preferred: Experience with AI cost management, observability, and governance frameworks
Benefits:
- Health, dental, and vision plans
- 4 weeks of Paid Time Off
- 10 Paid Company Holidays with 2 floating holidays
- 401K Programs with employer match
- Personal assistance programs for support in a healthy personal and work life
- Work on cutting-edge projects that are reshaping an industry
- Collaborate with a team of passionate, like-minded professionals
- Culture that values flexibility, innovation, and personal growth
- 10% Bonus
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