E

ept AI

Forward-Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
  • At least 5 years of hands-on software engineering experience in enterprise environments, including building production backend systems, data systems, or integrations in one or more programming languages such as Python, Java, or C#; familiarity with APIs, microservices, event-driven architectures, and cloud platforms.
  • Experience deploying or integrating enterprise-scale AI, machine learning, or data-driven platforms; experience with natural language, agent-based workflows, or modular AI architectures is ideal.
  • Ability to translate business and operational problems into technical solutions and bridge business stakeholders with engineering teams.
  • Experience in customer-facing roles such as customer success, professional services, or solutions engineering, delivering measurable outcomes.
  • Ability to engage executives and engineers and clearly present value, trade-offs, timelines, and technical architecture.
  • Ability to operate in ambiguous, fast-moving environments and handle multiple customer deployments in parallel while maintaining quality and customer satisfaction.
  • Willingness and ability to travel up to approximately 50–70%, including worldwide customer site visits as needed.
  • Strong customer-oriented mindset and ability to remain resilient under pressure, escalate issues, adapt, and deliver.

Responsibilities

  • Engage enterprise customers, including C-suite, product, sales, and support leaders, to understand business goals, bottlenecks, and technical landscapes, and define how the platform can deliver value.
  • Lead the end-to-end deployment lifecycle for complex AI use cases, from requirement discovery and solution design through rapid prototyping, production readiness, scalable rollout, and ongoing optimization.
  • Write, review, and deploy production-grade code, data pipelines, APIs, and integrations across on-premises and cloud environments to embed the AI platform into customer workflows.
  • Work with product and engineering teams to share field insights, drive platform enhancements, prioritize feature requests, and contribute to the product roadmap.
  • Serve as the customer's technical advisor by handling technical escalations, performance tuning, adoption metrics, security and compliance concerns, and change management.
  • Define and track success metrics, deliver training and documentation, and work with customer teams to drive adoption, return on investment, and long-term value realization.
  • Support pre-sales and commercial activities through scoping, technical demonstrations, proof-of-value builds, and contributions to requests for proposals or statements of work as needed.
  • Travel regularly, domestically and/or internationally, to customer locations as required by deployment schedules.
  • Maintain customer relationships, satisfaction, retention, and expansion opportunities, and represent the company's brand and technical standards.
  • Deliver initial deployments that meet time-to-value targets and produce measurable business impact.
  • Build customer relationships as a trusted technical partner to support renewal and expansion rates.
  • Feed field-informed product enhancements into the roadmap.
  • Develop reusable deployment patterns, internal best practices, and playbooks for future customer engagements.
  • Represent the company professionally with customers, prospects, and industry forums.

Desired Qualifications

  • Experience working with enterprise security, compliance, data governance, and integration into legacy systems.

About the Company

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