Forward Deployed AI Engineering Manager, Enterprise
Posted 2 months ago Expired
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Upload Your ResumeAbout This Role
As a Forward Deployed AI Engineering Manager on our Enterprise team, you will be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will lead a team to understand client challenges, architect specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
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
- 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
- Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts
- Lead a team collaborating with customer data scientists, ML engineers, and software developers
- Work closely with Scale's product and engineering teams to translate customer needs into product improvements
- 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
Requirements
- 5+ years of software engineering experience
- 2+ years of Management experience
- Strong fundamentals in data structures, algorithms, and system design
- Production Python expertise
- Experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with modern data infrastructure
- Strong problem-solving skills
- Excellent communication skills
Qualifications
- 5+ years of software engineering experience with 2+ years of Management experience
Nice to Have
- Deep understanding of LLMs, 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
- Domain expertise in verticals like finance, healthcare, government, or manufacturing
- Experience with technical enablement or teaching programs
Skills
* Required skills
Benefits
About Scale AI
Scale AI accelerates AI development by providing high-quality training data and infrastructure, enabling organizations to build transformative AI models. They develop reliable AI systems for the world's most important decisions.