{"id":2713757,"url":"https://alion.io/job/scale-ai-frontier-agent-engineering-manager-enterprise-2","title":"Frontier Agent Engineering Manager, Enterprise","company":{"id":27,"name":"Scale AI","domain":"scale.com","url":"https://alion.io/company/scale-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":171,"ghost_share":0.234,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":249000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Edge AI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scale AI","optional":false},{"name":"Bicep","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"SOC 2","optional":true},{"name":"Terraform","optional":true},{"name":"Voice Agents","optional":true},{"name":"Wiz","optional":true}],"status":"live","first_seen_at":"2026-10-16T13:16:59Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T12:14:31Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"About Scale AI\nScale 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.\nRole Overview\nAs 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.\nThis 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.\nKey Responsibilities\nCustomer Integration & Deployment\nPartner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements\nDesign and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)\nBuild robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows\nDeploy and configure AI models and agents within customer security and compliance boundaries\nAI Agent Development\nDevelop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation\nArchitect multi-agent systems that orchestrate between different models, tools, and data sources\nImplement evaluation frameworks to measure agent performance and iterate toward business objectives\nDesign human-in-the-loop workflows and feedback mechanisms for continuous agent improvement\nPrompt Engineering & Optimization\nCreate sophisticated prompt engineering strategies optimized for customer-specific domains and data\nBuild and maintain prompt libraries, templates, and best practices for customer use cases\nConduct systematic prompt experimentation and A/B testing to improve model outputs\nImplement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate\nLeadership & Collaboration\nServe as the Engineering Manager and technical point of contact for strategic enterprise accounts\nLead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration\nWork closely with Scale's product and engineering teams to translate customer needs into product improvements\nDocument technical architectures, integration patterns, and best practices\nProblem Solving & Innovation\nDebug complex technical issues across the entire stack, from data pipelines to model outputs\nRapidly prototype solutions to unblock customers and prove out new use cases\nStay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems\nIdentify opportunities for productization based on common customer patterns\nRequired Qualifications\n5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design\n Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)\n Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure\nStrong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions\nExcellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences\nPreferred Qualifications\nAgent Development Wiz\nDeep understanding of LLMs including prompting techniques, embeddings, and RAG architectures\nExperience building and deploying AI agents or autonomous systems in production\nKnowledge of vector databases and semantic search systems\nContributions to open-source AI/ML projects\nInfrastructure Guru\nExperience with containerization (Docker, Kubernetes) and CI/CD pipelines\nExperience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools\nPrevious work in a devops, platform, or infra role\nFamiliarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)\nCustomer Product Whisperer\nProven ability to work with customers in a technical consulting, solutions engineering, or product engineering role\nDomain expertise in verticals like finance, healthcare, government, or manufacturing\nExperience with technical enablement or teaching programs\nSample Projects\nThe following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.\nDeep Research for Due Diligence\nFor 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.\nChurn Prediction\nWorking 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.\nData Extraction Voice Agent\nWe 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 organization's nurses hundreds of hours each week.\nPLEASE 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.\nAbout Us:\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's 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, Ernst & Young, 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.\nWe 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. \nWe 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 Labor's Know Your Rights poster for additional information.\nWe comply with the United States Department of Labor's Pay Transparency provision. \nPLEASE 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. 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