Forward Deployed Engineer Lead - AI Implementation

Bestica Inc.

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

32 hours ago
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Job summary

Bestica Inc. seeks a Forward Deployed Engineer Lead - AI Implementation to guide enterprise AI deployments and mentor a growing team of Forward Deployed Engineers.

You will drive end-to-end initiatives, align solutions with customer processes, and foster strong technical partnerships with customers. In this role, you’ll deliver production-grade AI workflows, integrate diverse systems, and provide strategic guidance from discovery to adoption, while collaborating with Product and Engineering to

Qualifications

  • 4+ years of software/solutions engineering or related technical experience.
  • Hands-on with REST APIs, webhooks, OAuth, integrations, ETL, and cloud platforms (AWS/GCP).
  • Experience with LLMs, AI agents, prompt engineering, orchestration, and evaluation frameworks.
  • 2+ years in customer-facing technical roles such as Forward Deployed Engineer or Solutions Engineer.
  • Prior experience leading, mentoring, or managing engineers.
  • Strong communication with technical and business stakeholders.

Responsibilities

  • Lead end-to-end deployment of AI agents and workflow automation for enterprise customers.
  • Conduct technical discovery sessions and design AI-powered solutions.
  • Build integrations with CRM, ERP, HRMS, Finance platforms, APIs, and data systems.
  • Develop production-grade code, agent workflows, prompts, evaluations, and data pipelines.
  • Serve as a trusted technical advisor during implementation and adoption.
  • Partner with Product and Engineering to drive improvements and reusable solutions.
  • Support pre-sales activities, demos, and proofs-of-concepts.
  • Hire, mentor, coach, and manage a team of FDEs with delivery excellence.

Skills

REST APIs
Webhooks
OAuth
Integrations
ETL
AWS/GCP
LLMs
Agent orchestration
Prompt engineering
Team leadership
Customer-facing

Job description

Our client is seeking a Forward Deployed Engineer Lead - AI Implementation to lead enterprise AI implementations while managing and mentoring a growing team of Forward Deployed Engineers.

Key Responsibilities
  • Lead end-to-end deployment of AI agents and workflow automation solutions for enterprise customers.
  • Conduct technical discovery sessions and design AI-powered solutions aligned with customer business processes.
  • Build integrations with CRM, ERP, HRMS, Finance platforms, APIs, and data systems.
  • Develop production-grade code, agent workflows, prompts, evaluations, and data pipelines.
  • Serve as a trusted technical advisor to customers throughout implementation and adoption.
  • Partner with Product and Engineering teams to drive product improvements and reusable solutions.
  • Support pre-sales activities, technical validations, demos, and proof-of-concepts.
  • Hire, mentor, coach, and manage a team of FDEs while driving delivery excellence and operational best practices.
Required Qualifications
  • 4+ years of software engineering, product engineering, or related technical experience.
  • Experience with REST APIs, webhooks, OAuth, integrations, ETL, and cloud technologies (AWS/GCP).
  • Hands-on experience with LLMs, AI agents, prompt engineering, agent orchestration, and evaluation frameworks.
  • 2+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Technical Consultant, or Implementation Engineer.
  • Prior experience leading, mentoring, or managing engineers.
  • Strong communication skills and ability to engage with both technical and business stakeholders.
Preferred Qualifications
  • Experience with PSA tools such as Rocketlane, Asana, Wrike, ClickUp, Kantata, or Salesforce PSA.
  • Background in enterprise SaaS implementations, Professional Services, or Customer Success Engineering.
  • Experience deploying AI/agentic systems in production environments.
  • Previous experience building or scaling implementation, solutions, or forward-deployed engineering teams.
Ideal Candidate
  • Enjoys combining engineering, AI, and customer engagement.
  • Thrives in fast-paced, ambiguous environments.
  • Takes ownership, drives outcomes, and enjoys building scalable processes and teams.
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