Scale AI Forward Deployed AI Engineering Manager leads a team to architect and deploy AI solutions for strategic enterprise customers. Responsible for customer integration, AI agent development, prompt engineering, and team leadership.
Responsibilities
As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
Customer Integration & Deployment
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
AI Agent Development
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
Qualification
Experience with cloud platforms (AWSAgent Development WizInfrastructure GuruExperience using Terraform
Required
5+ years of software engineering experience with 3+ yrs of Management 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
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
Agent Development Wiz
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
Infrastructure Guru
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
