Lead Forward Deployed Engineer

Eliza

Lead Forward Deployed Engineer ensuring delivery quality and coaching teams at AI services firm. Delivering cutting-edge AI solutions across various industries with a technical focus.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on client-facing delivery roles, emphasizing technical direction, risk management, and team development. Proven ability to maintain client confidence while ensuring high delivery quality across multiple engagements.

Highest-signal resume keywords

Python ProgrammingAI/ML DeliveryCloud Platforms (AWS, GCP, Azure)CI/CD PracticesTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSolution ArchitectureDelivery Quality ManagementTechnical Decision-MakingRisk Identification

Soft Skills

CoachingClient CommunicationOwnershipJudgmentFeedback Delivery

Industry Keywords

Portfolio DeliveryExecution DisciplineAccount HealthBusiness OutcomesField Delivery

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Own Portfolio Delivery Quality: Maintain a clear view of delivery status, risks, blockers, and priorities across assigned accounts
Set Technical Direction Across Engagements: Guide solution architecture and technical decision-making across multiple concurrent engagements
Coach and Develop the Field Team: Provide direct, timely, actionable feedback on technical execution, client communication, ownership, and judgment
Maintain Client Confidence: Serve as the senior technical and delivery presence for clients across your portfolio
Establish Execution Discipline: Define the right operating cadence for each account
Manage Delivery Risk and Escalation: Identify technical, staffing, scope, timeline, and client-alignment risks across the portfolio

Requirements

What you’ll need

8+ years of software engineering experience, with meaningful time in client-facing or field delivery roles
Demonstrated ownership of delivery quality across multiple concurrent engagements or accounts
Deep hands-on technical credibility: strong Python, production AI/ML delivery, and sound architectural judgment. You still read the code
Proven experience developing engineers through direct, specific, timely feedback
Excellent executive and technical communication—credible with a client CTO and with an engineer on the same day
Deep comfort with modern cloud platforms (AWS, GCP, or Azure), CI/CD, and production deployment practices
Strong commercial awareness: you understand how delivery decisions affect account health and business outcomes

Benefits

Comp & perks

Competitive compensation (salary + deployment bonuses or client uplift incentives)
Equity options in a growing AI services company
Fully remote work
Remote work perks include a WFH stipend and monthly lifestyle stipend
Real ownership of a client portfolio and the team delivering it
A leadership role that keeps you technical and in the field
Flexibility to work across industries and problem domains
A collaborative, mission-driven team passionate about the real-world impact of AI