Senior Forward Deployed AI Engineer (Enterprise)

Join Scale AI as a Senior Forward Deployed AI Engineer on our Enterprise team. In this hands-on technical role, you will be the bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will work directly with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This role requires deep engineering expertise, excellent communication skills, and a strong understanding of AI/ML frameworks.

• Establishing a technical bridge between Scale AI's AI capabilities and enterprise clients, understanding their challenges, and architecting custom AI solutions.
• Designing and implementing custom integrations between Scale AI's platform and customer data environments, building robust data connectors and ETL pipelines.
• Serving as the primary technical point of contact for strategic enterprise accounts, collaborating with customer data scientists, ML engineers, and software developers.
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• 5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Experience with technical enablement or teaching programs
• Domain expertise in verticals like finance, healthcare, government, or manufacturing