Forward Deployed AI Engineering Manager, Enterprise

About Scale AI

Scale AI is the data foundation for AI helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform generative AI solutions and enterprise AI capabilities.

Role Overview

As a Forward Deployed AI Engineering Manager on our Enterprise team youll be the technical bridge between Scale AIs cutting-edge AI capabilities and our most strategic customers. Youll 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. Youll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

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 AIs 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

Prompt Engineering & Optimization

• 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

Leadership & Collaboration

• Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts
• Lead a team that is collaborating with customer data scientists ML engineers and software developers to ensure smooth integration
• Work closely with Scales product and engineering teams to translate customer needs into product improvements
• Document technical architectures integration patterns and best practices

Problem Solving & Innovation

• 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

Required Qualifications

• 5 years of software engineering experience with 2 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 Qualifications

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
• Previous work in a devops platform or infra role
• Familiarity with enterprise security compliance and governance requirements (SOC 2 GDPR HIPAA)

Customer Product Whisperer

• 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

Sample Projects

The following are some examples of the types of projects weve worked on with customers. All of these projects leverage customer data integrate directly into customers existing systems and are deployed on their infrastructure.

Deep Research for Due Diligence

For a global professional services firm we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking integrates several internal MCP tools and processes complex unstructured data sources. This solution reliably saves employees hundreds of hours weekly.

Churn Prediction

Working with a TelCo organization we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a next best action copilot enabling call center agents to proactively surface relevant offers to customers leading to a significant reduction in churn.

Data Extraction Voice Agent

We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency the agent adeptly manages conversational flow adheres to safety guardrails and efficiently handles data extraction. This automation saves the organizations nurses hundreds of hours each week.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.