{"id":82025,"url":"https://alion.io/job/scale-ai-senior-frontier-agents-engineer-forward-deployed-engineering","title":"Senior Frontier Agents Engineer (Forward Deployed Engineering)","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":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":216000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scale AI","optional":false},{"name":"Context Engineering","optional":true},{"name":"Docker","optional":true},{"name":"Function Calling","optional":true},{"name":"Kubernetes","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-05-15T23:52:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-17T12:14:31Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":154},"description":"About Scale AI\nScale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems.\nEvery day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale.\nThe Opportunity\nThe hardest part of enterprise AI isn't building a great model-it's building AI systems that reliably operate inside complex production environments.\nAs a Senior Frontier Agent Engineer (Forward Deployed Engineering), you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software.\nUnlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI.\nIf you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in.\nWhat You'll Build\nEnterprise AI Systems\nArchitect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems.\nDesign scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows.\nBuild robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance.\nRapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems.\nAI Platform Engineering\nBuild the production infrastructure that enables frontier AI research to become reliable enterprise software.\nDevelop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems.\nEngineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation.\nDesign human-in-the-loop workflows that effectively combine AI automation with expert oversight.\nBuild deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation.\nProduction AI Quality\nOperationalize modern AI quality systems that ensure production agents remain reliable as models, prompts, and customer data evolve.\nDeploy evaluation harnesses using offline benchmarks, online experiments, golden datasets, regression suites, and LLM-as-a-Judge to detect quality regressions before they impact customers.\nImplement tracing, observability, monitoring, guardrails, grounding, and safety mechanisms that enable production AI systems to operate with confidence.\nPartner closely with Applied AI engineers to productionize new evaluation methodologies, retrieval strategies, reasoning architectures, and emerging AI capabilities.\nRapidly evaluate newly released models, agent frameworks, evaluation methodologies, and developer tooling, determining how they can be safely adopted into production systems.\nCustomer Innovation\nPartner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows.\nTranslate ambiguous customer problems into scalable production AI architectures.\nCollaborate with customer software engineers, ML engineers, platform teams, and product organizations to deploy AI into mission-critical workflows.\nIdentify reusable engineering patterns that become core capabilities across multiple enterprise deployments.\nTechnical Leadership\nServe as the primary technical advisor for strategic enterprise accounts.\nLead architecture discussions spanning distributed systems, AI infrastructure, enterprise integration, and production deployment.\nDocument reusable architecture patterns, deployment strategies, integration frameworks, and operational best practices.\nWork closely with Scale's product, infrastructure, and Applied AI teams to continuously improve the platform.\nWhat Makes This Role Different\nYou'll work across the full lifecycle of production AI systems:\nArchitecting enterprise AI systems and agent platforms\nBuilding integrations across cloud infrastructure and enterprise software\nDeploying AI agents into production environments\nOperationalizing evaluation frameworks, guardrails, and observability\nRunning production experiments and measuring real-world business impact\nContinuously improving deployed AI systems using customer feedback and operational telemetry\nYou'll work with the latest frontier AI models, evaluation methodologies, agent frameworks, and developer tooling as they emerge, helping customers adopt new AI capabilities safely and effectively.\nRather than supporting a single product or platform, you'll solve diverse engineering challenges across industries and use cases, rapidly building expertise across enterprise architecture, AI systems engineering, and production deployment.\nRequired Qualifications\n5+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design.\nStrong Python programming skills with experience building production software.\nExperience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases.\nExperience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure.\nStrong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions.\nExcellent communication skills and the ability to work directly with enterprise engineering teams.\nPreferred Qualifications\nEnterprise AI Engineering\nExperience deploying production AI agents or autonomous systems.\nExperience designing distributed systems, APIs, orchestration services, or large-scale backend systems.\nExperience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD.\nExperience integrating AI systems into enterprise software environments.\nAI Systems\nFamiliarity with modern agent architectures, retrieval systems, tool use, memory, and context engineering.\nExperience with evaluation frameworks, LLM observability, regression testing, tracing, and AI monitoring.\nExperience implementing guardrails, grounding, and safety mechanisms for production AI systems.\nExperience operationalizing new foundation models, agent frameworks, or AI infrastructure.\nCustomer Engineering\nExperience working directly with enterprise customers.\nAbility to translate complex technical requirements into scalable production systems.\nStrong written and verbal communication skills.\nExperience leading architecture reviews, technical workshops, or customer design sessions.\nDual Fluency\nWhile this role initially emphasizes enterprise engineering and production deployment, every Frontier Agent Engineer develops expertise across both Forward Deployed Engineering and Applied AI.\nOver time, you'll deepen your understanding of modern agent architectures, evaluation methodologies, retrieval systems, reasoning techniques, and emerging AI technologies, while continuing to build world-class production software. Our goal is to develop engineers who can design, build, evaluate, deploy, and continuously improve frontier AI systems end to end.\nCompensation 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, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.\nPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n$216,000—$270,000 USD\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. Please see our privacy policy for additional information.","description_format":"text","description_chars":11545,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Training Data & Annotation","AI Evaluation & Observability"],"lifecycle":[{"event":"open","at":"2026-05-15T23:52:00Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.69,"p_room":0.36,"age_days":154,"expected_fill_days":89,"reasons":["conf:4","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":270000,"is_top_pay":true},"html_url":"https://alion.io/job/scale-ai-senior-frontier-agents-engineer-forward-deployed-engineering","json_url":"https://alion.io/job/scale-ai-senior-frontier-agents-engineer-forward-deployed-engineering.json","meta":{"generated_at":"2026-10-17T12:39:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16823,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":27},"rest":"https://alion.io/mcp/rest/get_company?id=27"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fscale-ai-senior-frontier-agents-engineer-forward-deployed-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fscale-ai-senior-frontier-agents-engineer-forward-deployed-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fscale-ai-senior-frontier-agents-engineer-forward-deployed-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/scale-ai-senior-frontier-agents-engineer-forward-deployed-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fscale-ai-senior-frontier-agents-engineer-forward-deployed-engineering"}]}