Stability AI Logo

Stability AI

Forward Deployed Engineer

Posted 14 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Build and deploy generative AI solutions for creative enterprise workflows across image, video, 3D, vector graphics, and design. Partner with customers to identify opportunities, prototype integrations, adapt multimodal models, integrate AI into production systems, diagnose technical issues, evaluate solution quality, and develop reusable deployment patterns. Collaborate with research, product, engineering, and design teams to translate customer needs into scalable technical solutions.
The summary above was generated by 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.


Similar Jobs

5 Days Ago
Remote or Hybrid
United States
126K-213K Annually
Senior level
126K-213K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads technical customer engagements for strategic enterprise accounts, combining solution engineering, software implementation, consulting, and sales support. Responsibilities include discovering requirements, designing and documenting SailPoint solutions, conducting foundational implementations and proof-of-value engagements, educating customers on architecture and best practices, and developing AI-enabled demonstrations and agentic solutions. The role collaborates across sales, product, professional services, partners, and customer success, and may require up to 15% travel.
Top Skills: Active DirectoryAgentic AiAngularApplication ServersArtificial IntelligenceAWSAzureCassandraClaude CodeCSSCursorDatabasesGCPGithub CopilotGoogle AntigravityHTMLJavaJavaScriptJSONKiroLdapLinuxMachine LearningMicrosoft Sql ServerMongoDBMySQLNode.jsOne IdentityOpenai CodexOracleOracle Identity ManagerPeoplesoftPowershellReactRedisRsa AveksaSaaSSailpointSAPSaviyntServicenowSoapSpmlSpring BootSpring MvcSQLSybaseTypescriptUnixVirtualizationVueWeb ServicesWindowsXML
6 Days Ago
Remote or Hybrid
150K-165K Annually
Entry level
150K-165K Annually
Entry level
Artificial Intelligence • Machine Learning
Develop custom AI solutions for customers using the Domino platform. Partner with experienced forward-deployed engineers to enhance legacy workflows, write code, design solutions, and deliver data science, MLOps, and software engineering outcomes in high-impact industries.
Top Skills: Domino PlatformMlopsPythonR
6 Days Ago
Easy Apply
Remote
United States
Easy Apply
143K-210K Annually
Senior level
143K-210K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.
Top Skills: AIAPIsCSSData PipelinesHTMLJavaScriptLlm OrchestrationN8NWebflow ApisWebflow CmsWorkflow Automation

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account