{"id":2777256,"url":"https://alion.io/job/microsoft-ai-ops-engineering-manager","title":"AI Ops Engineering Manager","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":157,"ghost_share":0,"stale_share":0.987,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Washington, United States","Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142800,"max":274800,"currency":"USD","period":"year","gross":null,"usd_annual":274800},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"Azure","optional":true},{"name":"Incident Management","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-09T16:54:23Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T05:01:58Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"OverviewAre you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps), the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. Our mission is to prevent issues before they happen by turning operational signals into action through AI-powered automation, enabling measurable customer impact at cloud scale. Our culture of empowerment, inclusion, and growth mindset defines how we work.\nWithin EngOps ACES, the Agent Fleet Operations (AFO) team is seeking an AI-first Engineering Manager to join Cloud Operational Demand Engineering (CØDE) and help advance our mission of driving operational demand toward zero. We are looking for a technical leader who combines deep engineering expertise with a learn-it-all mindset, is passionate about applying AI to solve real customer problems and is energized by building high-performing teams and systems that scale impact far beyond individual effort.\nIn this role, you will lead team-building and operating production AI solutions that reduce operational demand and improve customer outcomes. You will be responsible for people leadership, engineering execution, prioritization, and production operations, partnering closely with senior technical leaders to translate strategy into reliable, scalable capabilities. Success requires fostering an inclusive environment where engineers can move quickly, experiment, learn continuously, and deliver high-quality solutions that transform how the Microsoft Cloud operates.\nYour Role:\nLead a hands-on AI engineering squad that builds and operates autonomous resolution agents for Broad Commercial customers. You will own engineering execution, production excellence, and business outcomes, not just delivery plans. This role requires a leader who has personally built and shipped production-scale agentic AI systems and can scale that expertise through a high-performing engineering team.\nTeam charter\nBuild, operationalize, and scale AI-native support experiences for Broad Commercial customers by transforming supportability knowledge into reusable, versioned, testable, and measurable assets that power product experiences, support engineers, and autonomous agents. The team reduces support demand, engineering toil, and time-to-resolution through AI-driven resolution capabilities that continuously learn from customer signals, unresolved cases, and operational insights.\nResponsibilities\nKey responsibilities\nBuild and lead an AI engineering squad\n\nHire, develop, and lead engineers building AI-powered solutions that reduce support demand, accelerate resolution, and improve customer satisfaction. Set a high technical bar, remain close to architecture and evaluation outcomes, and create the conditions for rapid innovation without compromising quality or reliability.\n\nOwn engineering execution for Agentic AI solutions\n\nOwn end-to-end delivery of autonomous AI systems, including orchestration, reasoning, retrieval, action execution, and human escalation workflows. Drive capabilities from prototype through production across support surfaces while partnering effectively across dependent engineering organizations.\n\nSet technical direction and engineering standards\n\nShape the technical foundation for agent development by defining architectures, design patterns, evaluation frameworks, and reusable platform capabilities. Establish standards for prompts, tool interfaces, testing, versioning, code quality, and safe deployment practices to ensure agent behavior remains reliable, observable, and scalable.\n\nOwn production health and reliability\n\nRun the service. Own availability, latency, cost per resolution, regression detection, incident response, and the on-call discipline for a fleet of agents acting autonomously in the customer path. Build the observability needed to explain why an agent did what it did, and drive durable fixes rather than repeated mitigations.\n\nBuild and maintain evaluation systems\n\nOwn the evaluation framework that determines whether agents are safe and effective in production. Build and maintain golden datasets, rubrics, judge agents, and offline/online evaluation pipelines. Use evaluation signals to gate releases and continuously improve quality through production feedback loops.\n\nDrive measurable business impact\n\nOwn key business outcomes, including support demand reduction, autonomous resolution rate, resolution quality, time-to-resolution, engineer productivity, and customer satisfaction. Ensure every capability is measurable and that engineering investment is consistently directed toward the highest-impact opportunities.\n\nTransform Customer Signals into Engineering Insight\n\nCreate mechanisms that convert unresolved cases, customer feedback, and dissatisfaction signals into actionable engineering insights. Ensure recurring failure patterns improve future agent capabilities and drive product fixes back to the appropriate engineering teams.\n\nDevelop Talent and Scale Agentic AI Excellence\n\nGrow engineers into exceptional AI practitioners and extend the team's impact by sharing proven patterns, tools, and operational learnings across the broader organization.\n\nQualifications\nRequired qualifications\nBachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.\nOther:\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.\nPreferred qualifications\nMaster's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.\n\nExperience building and shipping multi-agent orchestration systems or agentic AI services in production.\n\nExperience with AI evaluation frameworks: rubrics, golden datasets, judge agents, offline and online evaluation.\n\nExperience with Azure AI Foundry, Azure OpenAI, or comparable enterprise AI platforms.\n\nFamiliarity with agent security patterns: prompt injection defense, tool access controls, data boundary enforcement.\n\nExperience leading co-development or cross-org engineering delivery with multiple partner teams.\n\nStrong business acumen, with the ability to tie engineering investment to measurable customer and business outcomes.\n\nExperience influencing product engineering roadmaps and driving cross-functional collaboration at scale.\n\nBackground in customer support engineering, supportability, or customer experience platforms.\n\nExperience operating always-on production services, including on-call ownership and incident management.\n\n#EngOps #EngOpsACES\nSoftware Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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