Forward Deployed Engineer

Stability AI
United States
RemoteCareer-pivot friendly

Who this role is best for

A natural match if you have experience integrating generative AI into creative workflows and are comfortable with enterprise-level collaboration.

Best fit for

  • Candidates with generative AI experience and a background in creative or enterprise software integration
    — “Integrate AI capabilities into existing creative tools, content pipelines, and enterprise systems.”
  • Individuals who have delivered AI solutions for professional creative domains like VFX or advertising
    — “Experience in professional creative domains such as VFX, games, animation, advertising, e-commerce, graphic design, or 3D production.”
  • Engineers who can bridge the gap between research and real-world implementation with strong communication skills
    — “Work with research, product, engineering, and design teams to translate customer needs into technical requirements and product direction.”

Things to consider

  • Periodic travel is required for customer workshops and engagements, which may affect work-life balance.
    — “Willingness to travel periodically for customer workshops and strategic engagements.”
  • Candidates must be able to handle ambiguous customer problems and define technical scope independently.
    — “Ability to translate ambiguous customer problems into clearly scoped technical solutions.”

How to stand out

  • Highlight your experience in deploying generative AI models into production systems.
    — “Experience turning prototypes and experiments into reliable production systems.”
  • Showcase your familiarity with multimodal systems and model customization in your portfolio.
    — “Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.”
  • Demonstrate your ability to evaluate AI solutions on quality and reliability metrics.
    — “Evaluate solutions based on quality, controllability, consistency, reliability, and production usefulness.”
  • Include documentation of reusable implementation patterns from past AI projects.
    — “Document successful approaches and develop reusable implementation patterns for future deployments.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Successfully built and deployed AI solutions for enterprise customers
Typical background
Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field

Skills & requirements

Required

Software EngineeringGenerative AIVisual ComputingPythonCloud InfrastructureApisData PipelinesModel ServingEnterprise Integrations

Preferred

Forward Deployed EngineeringSolutions EngineeringApplied AIMachine Learning EngineeringTechnical Consulting

Stack & domain

PythonPyTorchCommunicationGenerative AIVisual Computing

About the role

Original posting from Stability AI

Forward Deployed Engineer

< Remote >

About the Role

We are seeking a Forward Deployed Engineer to help creative teams and enterprises adopt generative AI across image, video, 3D, vector graphics, and design.

This role sits at the intersection of engineering, applied AI, product, and customer delivery. You will work directly with customers to understand complex workflows, identify high-value opportunities, and build solutions that connect emerging AI capabilities with real production environments.

The ideal candidate combines strong software engineering skills with experience in generative AI and visual computing. You should be comfortable moving from an ambiguous customer problem to a working prototype and, ultimately, a reliable production solution.

Responsibilities

Partner with creative, technical, and business stakeholders to understand their workflows, systems, and goals.

Identify opportunities to apply generative AI across image, video, 3D, vector graphics, and design.

Build prototypes, integrations, and production-ready solutions that deliver measurable customer value.

Adapt generative and multimodal models to customer-specific use cases, datasets, brand requirements, and production environments.

Integrate AI capabilities into existing creative tools, content pipelines, and enterprise systems.

Work with research, product, engineering, and design teams to translate customer needs into technical requirements and product direction.

Evaluate solutions based on quality, controllability, consistency, reliability, and production usefulness.

Diagnose technical issues across models, APIs, data pipelines, infrastructure, and customer integrations.

Document successful approaches and develop reusable implementation patterns for future deployments.

Serve as a trusted technical partner throughout discovery, prototyping, implementation, and deployment.

Qualifications

Strong software engineering experience building and deploying machine learning or AI-powered applications.

Bachelor’s, Master’s, PhD, or equivalent practical experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a related field.

Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.

Strong programming skills in Python and experience with frameworks such as PyTorch.

Experience turning prototypes and experiments into reliable production systems.

Familiarity with APIs, cloud infrastructure, data pipelines, model serving, and enterprise integrations.

Ability to translate ambiguous customer problems into clearly scoped technical solutions.

Strong communication skills and experience working with both technical and non-technical stakeholders.

Ability to balance speed, technical quality, customer value, and scalability.

Experience in several of the following areas:

Generative image or video models

3D generation, reconstruction, or neural rendering

Vector graphics, layout, typography, or design systems

Multimodal representation learning

Creative software and production pipelines

Model customization, fine-tuning, or inference optimization

Highly Desirable

Experience in forward deployed engineering, solutions engineering, applied AI, machine learning engineering, or technical consulting.

Experience delivering complex technical implementations for enterprise customers.

Experience in professional creative domains such as VFX, games, animation, advertising, e-commerce, graphic design, or 3D production.

Experience integrating AI models into creative tools or content-production pipelines.

Experience with controllable generation, layered editing, multi-view consistency, relightable assets, structured design outputs, or brand-constrained generation.

Familiarity with model evaluation, GPU infrastructure, inference optimization, and production monitoring.

Willingness to travel periodically for customer workshops and strategic engagements.

Equal Employment Opportunity

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Source: Stability AI careers

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