{"id":821737,"url":"https://alion.io/job/hp-senior-ai-engineer-agentic-orchestration","title":"Senior AI Engineer, Agentic Orchestration","company":{"id":1167408,"name":"HP Canada","domain":"hp.ca","url":"https://alion.io/company/hp-ca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"E","score":27,"open_postings":89,"ghost_share":0.989,"stale_share":0,"repost_share":0.899,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","Boise, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":163000,"max_usd":313000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGPT","optional":false},{"name":"Claude","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Interpretability","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2025-06-05T00:00:00Z","employer_posted_date":"2025-10-03","last_verified_at":"2026-10-22T10:31:36Z","board_verified":true,"closed_at":null,"days_open":504,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost","company_stale"],"days_open":504},"description":"Senior AI Engineer, Agentic OrchestrationDescription -\nWho We Are\nHP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.\nWe’re assembling a diverse, world-class team-engineers, designers, researchers, and product minds-focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.\nWe create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful-always with a human-centric mindset.\nBy embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.\nJoin us as we reinvent work, so people everywhere can do their best work.\nAbout The Role\nAs a Senior AI Engineer in HP IQ’s AI Platform team, you’ll be responsible for designing and implementing the intelligent orchestration layer that powers CosmOS-HP’s agentic AI operating system. You will help develop the memory systems, context graphs, and toolchain infrastructure that enable LLM-driven agents to plan, act, and adapt to real-world user workflows.\nThis is a hands-on role working closely with technical leadership to prototype, scale, and productize multi-agent systems. The ideal candidate brings strong systems thinking, deep experience with LLMs or agentic architectures, and a passion for building intelligent, real-time user experiences.\nWhat You Might Do\nDesign and build orchestration infrastructure for LLM-based agents, spanning tool routing, memory context, and planning logic\nCollaborate with modeling and UX teams to define behavior, context handoff, and interaction patterns across modalities and form factors\nImplement personalized memory systems that span sessions and persist across devices\nIntegrate with third-party LLM APIs (e.g., OpenAI, Claude) and optimize prompt strategies for planning and decision making\nPrototype and deploy agentic frameworks (e.g., LangChain, ReAct, AutoGPT) in a production-grade system\nContribute to the overall system design and technical direction of CosmOS’ agent stack\nDesign and run experiments to fine-tune and evaluate LLM-based agents on real-world tasks, iterating to improve performance and reliability\nContribute to model curation, including dataset generation, labeling strategies, and quality checks that support personalized and contextual agent behavior\nApply model optimization techniques such as pruning and quantization to improve on-device performance and reduce latency\nEssential Qualifications\n7+ years of software engineering experience, with 3+ years building AI/LLM agent systems, planning pipelines, or orchestration frameworks\nBS or MS in Computer Science, Artificial Intelligence, or a related field\nStrong programming expertise in Python and/or TypeScript, with experience in scalable backend systems\nFamiliarity with agentic frameworks (LangChain, OpenAI Function Calling, etc.) and graph-based memory or planning structures\nProven ability to ship production-grade software in complex system environments\nExperience in model development workflows-including data curation, fine-tuning, evaluation, and iteration to improve model quality. Ability to independently run experiments to optimize models for performance and utility. \nPreferred Skills\nExperience with multi-agent architectures and long-term context tracking\nBackground in symbolic planning, knowledge graphs, or retrieval-augmented generation\nFamiliarity with cloud-native deployment environments (Docker, Kubernetes, AWS/GCP)\nContributions to open-source agentic systems or ML infrastructure stacks\nExperience optimizing LLM-based systems for latency, interpretability, and reliability\nHands-on knowledge of model compression and efficiency techniques, including model pruning and quantization \nThe pay range for this role is $146,650 to $244,850 USD annually with additional\nopportunities for pay in the form of bonus and/or equity (applies to United\nStates of America candidates only). Pay varies by work location, job-related\nknowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\n* Health insurance\n* Dental insurance\n* Vision insurance\n* Long term/short term disability insurance\n* Employee assistance program\n* Flexible spending account\n* Life insurance\n* Generous time off policies, including;\n* 4-12 weeks fully paid parental leave based on tenure\n* 11 paid holidays\n* Additional flexible paid vacation and sick leave (US benefits overview\n[https://hpbenefits.ce.alight.com/])\nThe compensation and benefits information is accurate as of the date of this\nposting. The Company reserves the right to modify this information at any time,\nwith or without notice, subject to applicable law.\nWhy HP IQ?\nHP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity-reimagining how we work, create, and connect to shape the future of work.\nInnovative WorkHelp shape the future of intelligent computing and workplace transformation.\n\nAutonomy and AgilityWork with the speed and focus of a startup, backed by HP’s scale.\n\nMeaningful ImpactBuild AI-powered solutions that help people and organisations thrive.\n\nFlexible Work EnvironmentFreedom and flexibility to do your best work.\n\nForward-Thinking CultureWe learn fast, stay future-focused, and imagine what comes next-together.\n\nJob -\nSoftwareSchedule -\nFull timeShift -\nNo shift premium (United States of America)Travel -\nRelocation -\nEqual Opportunity Employer (EEO)-\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":6630,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Flexible schedule","Health insurance","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Consumer Electronics","Laptops","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-12T13:01:44Z"},{"event":"reopen","at":"2026-09-21T22:18:20Z"},{"event":"reopen","at":"2026-09-23T23:34:57Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.101,"p_room":0.28,"age_days":504,"expected_fill_days":26,"reasons":["conf:2","repost:2","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/hp-senior-ai-engineer-agentic-orchestration","json_url":"https://alion.io/job/hp-senior-ai-engineer-agentic-orchestration.json","meta":{"generated_at":"2026-10-22T13:58:30Z","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":13382,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1167408},"rest":"https://alion.io/mcp/rest/get_company?id=1167408"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-senior-ai-engineer-agentic-orchestration"},{"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%2Fhp-senior-ai-engineer-agentic-orchestration"},{"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%2Fhp-senior-ai-engineer-agentic-orchestration"},{"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/hp-senior-ai-engineer-agentic-orchestration\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-senior-ai-engineer-agentic-orchestration"}]}