Founding AI Forward Deployed Engineer

Accountabilities:

• • Own end-to-end strategic customer deployments, including discovery, workflow analysis, success criteria definition, production deployment, optimization, ROI validation, and expansion.
  • Analyze customer workflows such as call routing, agent scripts, escalation paths, and back-office handoffs to identify opportunities for effective AI automation.
  • Build and ship production-grade multi-turn AI agent workflows, including prompt architectures, retrieval pipelines, decision logic, fallback handling, and live-agent handoffs.
  • Develop integrations with enterprise systems of record and customer technologies, including CRM, healthcare, ticketing, and custom APIs.
  • Implement appropriate guardrails and compliance controls for sensitive environments involving PII, HIPAA, PCI, and other customer-specific requirements.
  • Design and deploy evaluation, monitoring, testing, and observability frameworks that continuously measure and improve agent performance.
  • Establish measurable success criteria before deployment and use production data to validate outcomes and guide iteration.
  • Identify recurring technical requirements, integration patterns, and platform gaps, translating field experience into actionable recommendations for Product and Engineering.
  • Contribute directly to roadmap prioritization by documenting customer needs and technical findings with sufficient depth for engineering teams to act on them.
  • Serve as a senior technical resource during the sales process, supporting live demonstrations, architectural discussions, proof-of-concept development, and deployment scoping.
  • Partner with account executives, sales engineers, customers, product teams, and engineering teams to turn successful pilots into scalable expansion opportunities.
  • Help establish the operating model for a new forward-deployed engineering function, including deployment methodologies, evaluation standards, integration patterns, and future hiring practices.

  Requirements:

  • Bachelor’s degree or equivalent military or professional experience.
  • At least 4 years of customer-facing technical experience in forward-deployed engineering, solutions architecture with hands-on implementation ownership, technical consulting, or a comparable discipline.
  • Strong software engineering background with demonstrated ability to write and deploy production code, particularly in Python and/or TypeScript.
  • Proven experience independently building, integrating, debugging, and supporting production APIs and customer-facing systems.
  • Hands-on experience working with LLMs in production environments, including retrieval-augmented generation (RAG), agent orchestration, evaluation, prompt architecture, and tool use.
  • Demonstrated ability to diagnose and resolve real-world AI agent failures rather than working solely with prototypes or demonstrations.
  • Experience designing systems for production considerations such as latency, reliability, failure handling, monitoring, and measurable outcomes.
  • Strong communication skills, with the ability to conduct technical design discussions with engineers, develop business cases for executives, and navigate complex conversations with customers.
  • Ability to operate effectively in ambiguous environments, manage competing priorities, and take initiative without requiring highly structured direction.
  • Willingness to travel approximately 20–30% within the United States and potentially internationally.
  • Preferred experience with voice and telephony technologies such as SIP, WebRTC, SBCs, CCaaS, or UCaaS platforms.
  • Experience deploying enterprise-scale agentic AI solutions across voice or digital channels is highly valued.
  • Industry experience in healthcare, financial services, retail, insurance, or other complex enterprise environments is a plus.
  • Familiarity with the conversational AI competitive landscape is beneficial.
  • Experience with automation, AI-enabled engineering workflows, or emerging agentic AI technologies is advantageous.

  Benefits:

  • Remote position within the United States.
  • Competitive salary range of $147,700–$215,000 in applicable locations, with compensation varying based on location, skills, and experience.
  • Eligibility for variable compensation and equity.
  • Comprehensive medical, dental, and vision insurance.
  • Disability and life insurance coverage.
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSAs).
  • Commuter benefits and voluntary supplemental health coverage.
  • 401(k) matching and Employee Stock Purchase Plan (ESPP).
  • Paid time off and paid sick leave.
  • Paid parental and pregnancy leave.
  • Family-forming benefits, including IVF, fertility preservation, and adoption support.
  • Emergency backup care for children, adults, and pets.
  • Employee Assistance Program with 24/7 counseling access.
  • Free legal services, including legal advice, document creation, and estate planning.
  • Employee referral bonuses and student loan refinancing assistance.
  • One-to-one employee coaching, perks, discounts, and additional wellness resources.
  • Opportunity to shape a new engineering function with direct influence on product strategy and engineering priorities.
  • Access to an established enterprise customer base, providing immediate opportunities to deploy AI solutions in real production environments.