Forward Deployed AI Engineer II

CLEAR
New York, NY

Who this role is best for

Candidates with AI engineering experience and cross-functional collaboration skills will find this role in a fast-paced, mission-driven environment.

Best fit for

  • Candidates with AI engineering experience and a track record of deploying production systems across teams
    — “Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership”
  • Individuals who thrive in cross-functional environments and can translate business needs into AI solutions
    — “Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions”
  • Candidates who have experience with LLMs, RAG, and prompt engineering in practical, user-centric applications
    — “Hands-on experience building with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks”

Things to consider

  • The role requires a strong ability to work in ambiguous environments with high ownership expectations
    — “Comfort operating in fast-paced, ambiguous environments with strong ownership from idea to impact”
  • Candidates must be prepared to implement responsible AI practices with a focus on security and governance
    — “Understanding of responsible AI concepts, including evals, guardrails, data privacy, security, human oversight, and model governance”

How to stand out

  • Highlight end-to-end AI project ownership and measurable business impact in your resume and interviews
    — “Own use cases end-to-end, from discovery and evaluation through launch, monitoring, and iteration”
  • Showcase experience with LLMs, RAG, and prompt engineering in real-world applications
    — “Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences”
  • Emphasize collaboration with non-technical stakeholders and ability to communicate complex ideas clearly
    — “Ability to communicate complex technical concepts to technical, non-technical, and executive stakeholders”
  • Demonstrate your ability to identify high-impact AI use cases with strong ROI potential
    — “Strong product judgment and ability to identify practical, high-ROI AI use cases”
  • Include examples of building reusable AI patterns for prompt management and governance
    — “Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful deployment of AI systems
  • measurable business impact of AI solutions
Typical background
AI engineering experience in secure identity systems

Skills & requirements

Required

AI EngineeringLLM ApplicationsPrompt EngineeringResponsible AI Practices

Preferred

Security ComplianceLegal Compliance

Stack & domain

PythonLlmsRAGPrompt EngineeringSecurityLegalCompliance

About the role

Original posting from CLEAR via Greenhouse

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

In this role, you will design, build, and deploy AI-powered systems that accelerate AI adoption across CLEAR’s internal workflows and customer-facing product experiences.

This role will partner directly with Product, Engineering, Data, Security, Legal, Compliance, Operations, and business teams to identify high-impact AI opportunities, rapidly prototype solutions, and productionize reliable, secure, and measurable AI systems. You will own use cases end-to-end, from discovery and evaluation through launch, monitoring, and iteration.

What you'll do:

Discover, prioritize, and build AI use cases across internal tools, employee workflows, and customer-facing product features

Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions

Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences

Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership

Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows

Implement responsible AI best practices, including privacy, security, model governance, risk review, and customer impact assessment

Measure and communicate AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes

How you’ll measure success:

Number of high-impact internal and customer-facing AI use cases launched

Adoption and measurable business impact of AI-powered tools and features

Quality, reliability, latency, and safety of deployed AI systems

Reduction in manual work, operational cost, or customer support volume

Improvement in customer experience, containment, accuracy, or workflow efficiency

Percentage of AI use cases with clear owners, evals, monitoring, and governance controls

Speed from AI opportunity identification to prototype, pilot, and production launch

What you’re great at:

2+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or related technical roles

Hands-on experience building with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks

Strong programming skills in Python and/or another modern backend language

Experience building and deploying production systems with APIs, data platforms, cloud infrastructure, logging, monitoring, and testing

Ability to work directly with business teams to understand ambiguous workflows and turn them into usable AI products

Strong product judgment and ability to identify practical, high-ROI AI use cases

Understanding of responsible AI concepts, including evals, guardrails, data privacy, security, human oversight, and model governance

Ability to communicate complex technical concepts to technical, non-technical, and executive stakeholders

Comfort operating in fast-paced, ambiguous environments with strong ownership from idea to impact

Passion for building AI systems that are practical, secure, measurable, and user-centric

How You’ll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000 - $220,000, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

Source: CLEAR careers (Greenhouse)

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