Staff Forward Deployed AI Engineer, 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 Staff Forward Deployed AI Engineer on our Enterprise team, you will 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 challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands‑on technical role that combines deep engineering expertise with customer‑facing problem solving. 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 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 Technical Leadership & Collaboration Serve as the primary technical point of contact for strategic enterprise accounts Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration Provide technical training and knowledge transfer to customer teams Work closely with Scale's 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 8+ years of software engineering 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 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 For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. The agent employs a multi‑agent architecture for robust fact‑checking, integrates several internal MCP tools, and processes complex, unstructured data sources, saving employees hundreds of hours weekly. We partnered with a TelCo organization to build a churn prediction model that uses customer data to predict churn likelihood. The system curates personalized offers based on the prediction and is integrated into a “next best action” copilot, enabling call center agents to proactively surface relevant offers to customers and significantly reduce churn. We collaborated 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 manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction, saving the organization’s nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors.

$252,000 - $315,000 USD

We are committed to equal employment opportunity. We believe that everyone should be able to bring their whole selves to work, and 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 providing reasonable accommodations to applicants with physical and mental disabilities and will provide additional information on how to request accommodations. #J-18808-Ljbffr aijoblist