Forward Deployed AI Engineering Manager, Enterprise
Posted 2 months ago Expired
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Upload Your ResumeAbout This Role
This role involves leading a team to design, deploy, and manage AI solutions for enterprise customers, serving as a technical bridge between Scale AI's capabilities and strategic clients. It combines deep engineering and AI expertise with customer-facing problem-solving.
Responsibilities
- Partner with enterprise customers to understand 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
- 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
- Lead a team collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration
Requirements
- 5+ years of software engineering experience with 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) and 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 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
- 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.