Forward Deployed AI Engineer, Enterprise jobs in United States
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Scale AI · 2 weeks ago

Forward Deployed AI Engineer, Enterprise

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. As a Forward Deployed AI Engineer on the Enterprise team, you will be the technical bridge between Scale AI's AI capabilities and strategic customers, working to architect and deploy custom AI solutions that meet unique client challenges.

AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
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H1B Sponsor Likelynote

Responsibilities

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
Deploy and configure AI models and agents within customer security and compliance boundaries
Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
Architect multi-agent systems that orchestrate between different models, tools, and data sources
Implement evaluation frameworks to measure agent performance and iterate toward business objectives
Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
Build and maintain prompt libraries, templates, and best practices for customer use cases
Conduct systematic prompt experimentation and A/B testing to improve model outputs
Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate
Serve as the primary technical point of contact for strategic enterprise accounts
Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
Provide technical training and knowledge transfer to customer teams
Work closely with Scale's product and engineering teams to translate customer needs into product improvements
Document technical architectures, integration patterns, and best practices
Debug complex technical issues across the entire stack, from data pipelines to model outputs
Rapidly prototype solutions to unblock customers and prove out new use cases
Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
Identify opportunities for productization based on common customer patterns

Qualification

Production Python expertiseCloud platforms experienceAI agent developmentMachine learning backgroundTechnical consulting experienceContainerization DockerContainerization KubernetesData structuresAlgorithmsCommunication skillsProblem-solving skillsTechnical leadershipCollaboration with teams

Required

4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred

Deep understanding of LLMs including prompting techniques, fine-tuning, embeddings, and RAG architectures
Experience building and deploying AI agents or autonomous systems in production
Background in machine learning, with hands-on experience training or fine-tuning models
Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
Knowledge of vector databases and semantic search systems
Previous work in a forward deployed, field engineering, or technical account management role
Domain expertise in verticals like finance, healthcare, government, or manufacturing
Contributions to open-source AI/ML projects

Benefits

Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend

Company

Scale AI

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Scale’s mission is to develop reliable AI systems for the world’s most important decisions.

H1B Sponsorship

Scale AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)

Funding

Current Stage
Late Stage
Total Funding
$15.9B
Key Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B

Leadership Team

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Jason Droege
Interim Chief Executive Officer
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Dennis Cinelli
Chief Financial Officer
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Company data provided by crunchbase