Forward Deployed Engineer

Forward Deployed EngineerLocation - Remote (US-Based Preferred — Strong Preference for Midwest or East Coast Time Zones)Compensation - $125,000 – $200,000 Base + Variable Compensation + Competitive EquityVisa - No New H-1B Sponsorship AvailableExisting Work Authorization (H-1B Transfer or OPT) May Be Considered Case-by-CaseCompany Stage - Seed Stage (~$13M+ Raised)Industry - AI, Enterprise Software, AI Governance, Agentic AI, Financial ServicesAbout the CompanyThe company is building a trust and governance platform for AI systems, helping enterprises safely deploy, monitor, and govern large language models, AI agents, and generative AI applications at scale.Already deployed across major global enterprises and financial institutions, the platform enables organizations to implement AI guardrails, runtime controls, evaluation frameworks, and governance systems that ensure AI operates safely and reliably in production environments.Founded by the former General Manager of IBM Watson and backed by leading venture investors, the company has rapidly emerged as a category leader in enterprise AI governance and was recently recognized as a Gartner Cool Vendor for Agentic AI.With strong customer demand across banking, healthcare, retail, telecommunications, and consulting organizations, the company is rapidly expanding its customer-facing engineering team and hiring Forward Deployed Engineers to lead enterprise AI deployments.This is a rare opportunity to work directly with Fortune 500 customers, own deployments from day one, and help shape how enterprises adopt AI responsibly at scale.What You'll DoOwn enterprise customer engagements from discovery through deploymentWork directly with Fortune 500 clients to understand AI governance challenges and design technical solutionsDeploy and configure AI runtime control systems, guardrails, evaluation frameworks, and governance workflowsBuild and customize LLM-powered applications, AI agents, and enterprise AI workflowsServe as the technical bridge between customers and internal engineering/product teamsLead proofs-of-concept and production deployments across multiple industriesTranslate ambiguous business requirements into scalable technical solutionsConfigure and deploy AI governance infrastructure within customer environmentsCreate technical documentation, implementation plans, and deployment playbooksSurface customer feedback and product insights to internal teamsHelp customers successfully operationalize AI systems in production environmentsBecome a trusted technical advisor for enterprise AI initiativesIdeal Candidate BackgroundExperience Requirements2–5 years of experience in Forward Deployed Engineering, Solutions Engineering, or Client-Facing Software EngineeringExperience deploying AI/ML solutions into production customer environmentsExperience working directly with enterprise customers or external stakeholdersExperience translating business requirements into technical implementationsExperience working in startup or scale-up environmentsExperience supporting enterprise software deployments preferredExperience working with Fortune 500 customers preferredExperience in financial services, healthcare, consulting, or enterprise software preferredDemonstrated ability to operate independently in ambiguous environmentsTechnical RequirementsStrong Python engineering skillsHands-on experience with AI/ML systems, LLMs, agents, or machine learning workflowsUnderstanding of model capabilities, limitations, and trade-offsExperience deploying or supporting AI-powered applicationsFamiliarity with cloud infrastructure conceptsFamiliarity with Kubernetes and containerized environmentsUnderstanding of AI evaluation, governance, guardrails, or monitoring concepts preferredExposure to AWS, Terraform, Docker, or cloud-native tooling preferredAbility to troubleshoot technical issues in customer environmentsStrong problem-solving and systems thinking abilitiesEducationBachelor's degree in Engineering, Computer Science, Data Science, or related technical field preferredStrong technical foundation with demonstrated engineering capabilitiesSoft SkillsExceptional communication and interpersonal skillsComfortable presenting to technical and non-technical stakeholdersStrong customer-facing presenceAbility to simplify complex technical conceptsHigh ownership mentalityComfortable operating in ambiguityStrong problem-solving mindsetConsultative approach to customer engagementStartup mentality and bias toward actionPreferred BackgroundsForward Deployed Engineering teamsSolutions Engineering organizationsCustomer-facing AI engineering teamsEnterprise AI startupsAI governance and AI infrastructure companiesTechnical consulting organizationsFinancial technology companiesEnterprise SaaS startupsEarly-stage venture-backed startupsEngineers supporting Fortune 500 deploymentsCompensation & BenefitsBase Salary: $125,000 – $200,000Variable Compensation PackageCompetitive Equity PackageFully Remote Work EnvironmentDirect Exposure to Fortune 500 CustomersSignificant Customer Ownership and ResponsibilityOpportunity to Become a Trusted Technical AdvisorDirect Collaboration with Leadership TeamStandard Benefits (Medical, Dental, Vision, 401k)Rapid Career Growth OpportunitiesExposure to One of the Fastest-Growing Categories in Enterprise AIWhy JoinThis is an opportunity to work at the center of enterprise AI adoption, helping some of the world's largest organizations deploy AI safely and responsibly.You'll own customer engagements from discovery through deployment while working on real-world AI applications involving LLMs, AI agents, governance systems, and enterprise-scale AI infrastructure.As one of the earliest Forward Deployed Engineers, you'll have outsized ownership, direct customer impact, and the opportunity to help define how enterprises operationalize AI during one of the most important platform shifts in technology.Targeting SummaryThe ideal candidate is a customer-facing technical engineer (target ~2–5 YOE) with experience deploying AI/ML solutions into enterprise environments.This person should have strong Python fundamentals, hands-on exposure to LLMs or AI systems, and experience working directly with customers to solve technical problems.The strongest candidates will come from Forward Deployed Engineering, Solutions Engineering, or client-facing software engineering backgrounds and demonstrate the ability to translate ambiguous business problems into successful technical implementations.