Lead AI Engineer

InsCipher

Lead AI Engineer at InsCipher creating AI solutions for digital insurance platform. Shaping enterprise AI strategies and collaborating cross-functionally to enhance customer outcomes.

Posted 7/2/2026full-timeRemote • Utah • 🇺🇸 United StatesSenior💰 $170,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI engineering, including architecture standards, LLMOps practices, and AI-assisted coding. Proven ability to lead decision-making processes for AI systems and effectively communicate complex technical concepts to diverse audiences.

Highest-signal resume keywords

AI Engineering Roadmap DefinitionProduction LLM/GenAI Systems DevelopmentPython ProficiencyBuild vs. Buy vs. Integrate Decision-MakingExceptional Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/ML System DesignArchitecture StandardsProduction Systems DesignAI-Assisted Coding Tooling

Soft Skills

JudgmentCommunicationCollaboration

Tools & Technologies

LangChainLlamaIndexModel-Provider SDKsVector DatabasesEvaluation Tooling

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Engineering

Industry Keywords

AI Systems IntegrationContinuous ImprovementResponsible AI DevelopmentOperational SupportCross-Functional Engagement

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Define the AI engineering roadmap and architecture standards across the organization
Lead build vs. buy vs. integrate decision-making for AI systems and platforms – and be accountable for articulating how you arrived at those decisions
Evaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadership
Serve as the ultimate technical escalation point for complex AI/ML system design challenges
Architect AI solutions for our enterprise platform
Design systems for scale, reliability, and cost-efficiency in production environments
Establish LLMOps practices
Ensure AI systems integrate cleanly with existing product and engineering infrastructure
Partner closely with Product and Engineering leadership to align AI capabilities with business outcomes
Receive operational support to help initiate and coordinate cross-functional engagement
Provide clear guidance on resource allocation
Translate complex technical concepts for non-technical audiences
Champion and introduce AI-assisted coding practices and developer tooling across the engineering organization
Define standards for responsible AI development including guardrails, evaluation frameworks, and security considerations
Drive continuous improvement in how the organization builds and ships AI-powered features

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
8+ years of software engineering experience, with demonstrated mastery designing and shipping production systems where correctness, reliability, and auditability matter
2+ years building production LLM/GenAI and agentic systems, plus fluency with AI-assisted coding tooling and the judgment to set org-wide standards, evals, and guardrails for AI-generated code
Sound judgment about where AI belongs and where it must not – comfortable with probabilistic agents for customer-facing and research tasks, while keeping policy binding, money movement, and compliance flows deterministic, auditable, and human-governed
Experience making and communicating build vs. buy vs. integrate decisions at an organizational level
Proficiency in Python and the modern GenAI application stack – agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), model-provider SDKs, vector databases, and evaluation tooling
Exceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audience.

Benefits

Comp & perks

Health, dental, and vision plans
Amazing work-life balance with 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