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Salary: USD 180,000 - 220,000 / annual
CLEAR is building a secure identity platform serving 43+ million members globally. The company transforms how people live, work, and travel by enabling frictionless, secure experiences at airports, stadiums, and in everyday life.
As a Forward Deployed AI Engineer II, you will design, build, and deploy AI-powered systems that accelerate AI adoption across CLEAR's internal workflows and customer-facing products. You'll 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.
Key responsibilities include:
- Discover, prioritize, and build AI use cases across internal tools, employee workflows, and customer-facing product features
- Partner with cross-functional teams 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
Success is measured by: number of high-impact AI use cases launched; adoption and measurable business impact; quality, reliability, latency, and safety of deployed systems; reduction in manual work and operational cost; improvements in customer experience and workflow efficiency; percentage of AI use cases with clear owners, evals, monitoring, and governance; and speed from opportunity identification to production launch.
QUALIFICATIONS:
- 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
