Senior Forward Deployed Engineer

Eliza

Senior Forward Deployed Engineer at Eliza executing complex AI solutions for clients. Leading technical delivery and architecture while ensuring high-quality outcomes and client trust.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering AI/ML solutions using Python and modern ML frameworks, while effectively managing client communication and technical decision-making. Proven ability to navigate complex technical challenges and maintain project alignment with client needs and expectations.

Highest-signal resume keywords

Python ProgrammingAI/ML Solution DeliveryCloud Platforms (AWS, GCP, Azure)CI/CD WorkflowsSolution Architecture

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend DevelopmentFull-Stack DevelopmentMachine LearningInfrastructure-as-Code

Soft Skills

Client CommunicationProblem-SolvingRisk ManagementDecision-Making

Tools & Technologies

Modern ML FrameworksLLM Orchestration Tooling

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Own end-to-end delivery quality for a major engagement, workstream, or solution area.
Translate ambiguous client needs into practical execution plans, technical milestones, and shipped outcomes.
Maintain a clear view of status, risks, blockers, and dependencies within your scope.
Raise quality concerns early and correct course before client confidence is affected.
Lead solution architecture and technical decision-making for your workstream.
Make pragmatic tradeoffs between speed, quality, scope, maintainability, cost, latency, and client value—and explain your reasoning.
Review critical technical work before it is shared with clients or treated as production-ready.
Design and ship AI/ML solutions using Python, modern ML frameworks, LLM orchestration tooling, and cloud-native infrastructure.
Act as the senior technical voice on your engagement, credible with both engineers and executives.
Spot technical, delivery, scope, timeline, and client-alignment risks early.

Requirements

What you’ll need

5+ years of software engineering experience, including significant backend or full-stack depth.
Track record of independently owning complex, ambiguous technical work from definition through production.
Strong programming skills in Python; fluency in at least one additional language (JavaScript/TypeScript, Go, or similar).
Demonstrated experience delivering real-world ML/AI systems in production, not just prototypes.
Deep comfort with modern cloud platforms (AWS, GCP, or Azure), infrastructure-as-code, and CI/CD workflows.
Excellent client communication: you can hold a room, explain a tradeoff, and deliver bad news early.
Sound architectural judgment and the instinct to escalate at the right moment rather than the last moment.

Benefits

Comp & perks

Competitive compensation (salary + annual bonus)
Equity options in a growing AI services company
Fully remote work
Remote work perks include a WFH stipend and monthly lifestyle stipend
A genuine senior IC track—technical leadership with real scope, without a forced move into people management.
The hardest problems in the portfolio, and the autonomy to solve them.
Flexibility to work across industries and problem domains.
A collaborative, mission-driven team passionate about the real-world impact of AI.