Founding AI Forward Deployed Engineer

This is a founding engineering role focused on deploying production-grade agentic AI solutions directly within enterprise customer environments. You will own strategic deployments end-to-end, combining hands-on software engineering with customer-facing technical leadership across voice and digital AI experiences.

About the role

You will build multi-turn agents, integrations, retrieval pipelines, evaluation frameworks, guardrails, and observability capabilities for real-world use cases. Your work will directly influence product strategy, engineering priorities, deployment methodologies, and the future structure of the forward-deployed engineering function. You will also contribute to pre-sales through technical demonstrations, architectural discussions, proof-of-concepts, and deployment scoping. With an established enterprise customer base and significant autonomy, this role offers exceptional opportunity to shape a new function while solving complex AI problems at scale.

Responsibilities

• 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 Qualifications

• 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.
• 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.

Pay

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.