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Lead Ai Software Engineer Jobs in Utah (NOW HIRING)

Lead AI Engineer

Pleasant Grove, UT · On-site

$92K - $121K/yr

We are seeking a Lead AI Engineer to serve as our organization's foremost technical authority on ... software engineering experience, with demonstrated mastery designing and shipping production ...

Software Engineer - Full-Time, On-Site Location: Downtown Salt Lake City, UTCompany: Altitude AI ... Interactive AI Development: Lead projects to build interfaces that allow human engineers to ...

We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role ...

We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role ...

We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role ...

Your cameras become the sensors and our AI software embedded inside the Blackbox watches the ... Lead architecture discussions and contribute to technical direction * Improve engineering standards ...

Company Description We are seeking an experienced Lead Agentic Software Engineer to build and ship ... Use agentic coding tools as a core part of your daily workflow - AI-assisted code review, automated ...

Company Description We are seeking an experienced Lead Agentic Software Engineer to build and ship ... Use agentic coding tools as a core part of your daily workflow - AI-assisted code review, automated ...

Principal/Sr Principal Software Engineer-18816

Roy, UT · On-site

$120K - $165K/yr

We are seeking an experienced AI software engineer to join our data science and product teams. The ideal candidate will blend strong programming skills with deep familiarity in LLM deployment ...

Controls Engineer

Salt Lake City, UT · On-site

$80K - $104K/yr

As a Controls Engineer, you'll play a critical role in developing and implementing control systems for our Industrial AI software platform, the Altitude OS. You'll collaborate with a team of seasoned ...

Controls Engineer

Salt Lake City, UT · On-site

$80K - $104K/yr

As a Controls Engineer, you'll play a critical role in developing and implementing control systems for our Industrial AI software platform, the Altitude OS. You'll collaborate with a team of seasoned ...

Senior Software Engineer

Draper, UT · On-site

$114K - $151K/yr

Use AI coding assistants, automated testing, and modern tooling as a core part of your daily ... professional software engineering environments. * Full-Stack & Stack Fundamentals: Solid ...

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Lead Ai Software Engineer information

What does a Lead AI Software Engineer do?

A Lead AI Software Engineer oversees the design, development, and deployment of artificial intelligence solutions within an organization. They lead teams of engineers and data scientists, making technical decisions on AI models, algorithms, and system architecture. Their responsibilities include mentoring team members, ensuring project milestones are met, collaborating with stakeholders, and staying updated on the latest AI advancements. The role requires both deep technical expertise in AI and strong leadership and project management skills.

What are the key skills and qualifications needed to thrive as a Lead AI Software Engineer?

To thrive as a Lead AI Software Engineer, you need deep expertise in machine learning, software development, and algorithm design, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, Azure), and experience with data pipelines are commonly required, along with relevant certifications. Leadership, strong problem-solving abilities, and effective communication are essential soft skills for guiding teams and collaborating with stakeholders. These skills ensure the successful delivery of AI solutions that meet business needs while fostering innovation and maintaining technical excellence.

How does a Lead AI Software Engineer typically collaborate with data scientists and other engineering teams?

As a Lead AI Software Engineer, you play a central role in bridging the gap between data science and engineering. You’ll frequently collaborate with data scientists to translate experimental models into production-ready code, ensuring scalability and reliability. You’ll also coordinate with backend, frontend, and DevOps teams to integrate AI solutions into larger systems, manage model deployment pipelines, and uphold coding standards. Strong communication and project management skills are essential for aligning technical efforts and driving cross-functional projects to success.

What is the difference between Lead Ai Software Engineer vs Ai Software Engineer?

AspectLead Ai Software EngineerAi Software Engineer
CredentialsBachelor's/Master's in CS or related field, experience in AI/MLBachelor's/Master's in CS or related field, entry to mid-level experience
Work EnvironmentLeading projects, mentoring teams, designing AI solutionsDeveloping and implementing AI models, coding, testing
Industry UsageUsed across tech, finance, healthcare, and more for leadership rolesCommonly employed in tech companies, startups, research labs

The main difference between a Lead Ai Software Engineer and an Ai Software Engineer lies in their responsibilities and experience level. The Lead typically oversees projects, mentors team members, and makes strategic decisions, while the Ai Software Engineer focuses on developing AI models and coding. Both roles require similar educational backgrounds and are vital in AI-driven industries.

What cities in Utah are hiring for Lead Ai Software Engineer jobs?

Cities in Utah with the most Lead Ai Software Engineer job openings:

Infographic showing various Lead Ai Software Engineer job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Lead AI Engineer

Pleasant Grove, UT • On-site

Veracity Insurance Solutions
Insurance Services • 51 - 200 employees

$92K - $121K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

Lead AI Engineer

Veracity Insurance Solutions Pleasant Grove, Utah, United States

About this position

At Veracity, we aim to be a different kind of insurance partner - one that is free from outside investors, venture capital, or the pressures of a corporate parent.

Ours is a culture of empowerment - one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.

We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.

We’re growing fast and want you to be a part of it!

We are seeking a Lead AI Engineer to serve as our organization's foremost technical authority on artificial intelligence strategy, architecture, and adoption. At Veracity, that means shaping how AI is built and scaled across a customer-facing digital insurance platform serving small business owners nationwide - from how we surface coverage recommendations to how we prepare for a world where AI agents increasingly research and purchase insurance on behalf of human customers.

This is not a people management role - it is a systems leadership role. You will act as the connective tissue between engineering, product, and business leadership, making and owning the high-stakes technical decisions: build vs. buy, platform selection, architectural patterns, and AI tooling standards. You will bring structure and discipline to our AI practice while operating with the urgency and adaptability of a fast-moving, independent company.

Key Responsibilities Technical Strategy & Direction
  • 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 - which is actively being upgraded and requires someone comfortable working across both the process layer and the underlying platform architecture as a normal part of the role, not just layering AI on top of stable infrastructure
  • Design systems for scale, reliability, and cost-efficiency in production environments
  • Establish LLMOps practices - evaluation and regression suites for LLM-powered features, cost and quality observability, versioned prompts and configs with staged rollout and rollback, and production guardrails
  • Ensure AI systems integrate cleanly with existing product and engineering infrastructure
Cross-Functional Collaboration
  • 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, allowing you to stay focused on technical leadership and decision-makingProvide clear guidance on resource allocation - who owns what, who should be engaged, and in what sequence
  • Translate complex technical concepts for non-technical audiences, including executives and business stakeholders
  • Challenge direction constructively and push back on approaches that compromise long-term system health
AI Coding & Process Transformation
  • 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 and Qualifications Required
  • 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 - strong judgment and vision at the 5-6 year mark will not be screened out on tenure alone
  • 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
  • Demonstrated track record of taking an existing business process apart and rebuilding it with AI at the core within an existing enterprise environment - shipped to production and owned the outcome
  • Production experience with LLM/GenAI and agentic systems - agent orchestration, tool calling, RAG, structured outputs - with the fluency 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 treating policy binding, money movement, and compliance flows as deterministic, auditable, and human-governed; this framing is non-negotiable in an insurance context
  • Experience making and communicating build vs. buy vs. integrate decisions at an organizational level
  • Proficiency in Python and the modern GenAI application stack - agent and orchestration frameworks, model-provider SDKs, vector databases, and evaluation tooling; screened for fluency with the stack generally, not a specific checklist of tools
  • Exceptional written and verbal communication skills - you can write a crisp architecture decision record and present it to a board-level audience
Preferred
  • Direct evidence of legacy-process redesign with real latitude to alter underlying platform architecture - not just process work layered on top of stable infrastructure
  • Enterprise or regulated-domain experience, ideally in a business context closer to insurance or financial services
  • Experience in a technical lead or principal engineer role with broad organizational influence
  • Background working closely with product engineering teams in a dual-track agile model
  • Experience with AI cost management, observability, and governance frameworks
  • 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
Why Veracity?

Here at Veracity, you’ll be part of a team of trailblazers and visionaries. We’re not just revolutionizing the way people "do" insurance; we are creating a whole new paradigm. Here, you will experience a vibrant and inclusive workplace where your ideas matter! With us, you have a chance to:

Engage in groundbreaking projects that are reshaping the insurance landscape

Collaborate with a group of dedicated, like-minded professionals

Experience a culture that prioritizes growth and development

Compensation Range: $200k/yr - $220k/yr + 10% Bonus

We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics.

If you need accommodation, please let us know during the interview process.

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