{"id":1360475,"url":"https://alion.io/job/pearson-lead-specialist-ai-scientist-2","title":"Lead Specialist, AI Scientist","company":{"id":34029,"name":"Pearson","domain":"pearson.com","url":"https://alion.io/company/pearson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":19,"ghost_share":0,"stale_share":0.947,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-02T06:13:15Z"}},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Semantic Kernel","optional":false}],"status":"live","first_seen_at":"2026-08-21T15:47:46Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-11-02T06:00:33Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Lead Specialist, AI Scientist\nLocation: Remote, United States\nAbout the Role\nWe are seeking a strategic and hands-on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities that power Pearson's learner intelligence, knowledge graphs, recommendations, personalized learning experiences, and next-generation AI products.\nThis role bridges AI research, data science, software engineering, and product delivery. The successful candidate will lead the development of machine learning, Generative AI, LLM, agentic AI, and knowledge graph solutions, taking them from concept and experimentation through production deployment and continuous improvement. The ideal candidate combines deep technical expertise with a strong execution mindset and a passion for delivering measurable learner and business outcomes.\nWhat You'll Do\nLead the design, development, deployment, and operation of production AI capabilities supporting learner intelligence, personalization, recommendations, knowledge graphs, and AI-powered learning experiences.\nDesign and deliver Generative AI, LLM, retrieval-augmented generation (RAG), and agentic AI solutions that create measurable product and business impact.\nBuild reusable AI platform capabilities, services, APIs, and workflows that accelerate AI adoption across Pearson products.\nOwn the end-to-end AI delivery lifecycle, from experimentation and prototyping through deployment, monitoring, evaluation, and continuous improvement.\nEstablish scalable MLOps and AIOps practices for model training, deployment, observability, governance, reliability, and operational excellence.\nPartner closely with Product, Engineering, Design, Learning Science, and Data Science teams to identify opportunities and deliver impactful AI-powered capabilities.\nEvaluate emerging AI technologies, foundation models, and architectural approaches while balancing quality, safety, scalability, latency, and cost.\nEstablish best practices for responsible AI, model evaluation, prompt engineering, agent evaluation, and AI governance.\nMentor engineers and data scientists and help elevate AI engineering capabilities across the organization.\nCommunicate technical strategy, architecture decisions, trade-offs, risks, and outcomes to stakeholders across the business. \nExpected Results:\nProduction-ready learner intelligence, recommendation, and knowledge graph capabilities powering personalized learning experiences.\nEnterprise-scale AI services, LLM applications, and agentic workflows integrated into Pearson products.\nReusable AI platform components enabling rapid development, evaluation, deployment, and scaling of AI-powered capabilities.\nReliable, secure, observable, and cost-efficient AI systems operating successfully in production environments.\nAccelerated transition of AI prototypes and research into measurable product and business outcomes.\nImproved learner engagement, efficacy, productivity, and business impact through deployed AI capabilities. \nQualifications\n5+ years of experience building and deploying production AI/ML systems, including cloud-native applications and MLOps practices.\nStrong experience with applied machine learning, Generative AI, LLMs, RAG architectures, recommendation systems, knowledge graphs, or agentic AI solutions.\nHands-on experience building and deploying AI applications using foundation models and modern AI frameworks.\nProficiency in Python and modern software engineering practices, including APIs, testing, CI/CD, version control, and production operations.\nExperience designing scalable AI platforms, services, and deployment architectures in AWS or similar cloud environments.\nExperience with containerization, orchestration, infrastructure-as-code, and production-grade deployment practices.\nExperience evaluating, monitoring, and optimizing AI systems for quality, reliability, safety, latency, scalability, and cost. \nExperience with modern AI technologies such as OpenAI, Anthropic, Bedrock, Azure OpenAI, LangGraph, LangChain, Semantic Kernel, vector databases, or similar platforms.\nStrong collaboration and communication skills with product, engineering, and business stakeholders.\nBachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience. \nPreferred Qualifications\nMaster's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related discipline.\nExperience in educational technology, personalized learning, assessment, learning science, or related domains.\nFamiliarity with psychometrics, proficiency modeling, Bayesian methods, item response theory, or educational measurement.\nExperience building AI platforms, knowledge graph solutions, or agentic systems at enterprise scale.\nContributions to research, patents, open-source projects, or industry thought leadership. \nApply now and help shape the future of learning.\nCompensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:\nThe full-time salary range is between $150,000 - 190,000.\nThis position is eligible to participate in an annual incentive program, and information on benefits offered is here.\nApplications will be accepted through August 30th. This window may be extended depending on business needs.","description_format":"text","description_chars":5572,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EdTech Platforms","Publishing","E-learning"],"lifecycle":[{"event":"open","at":"2026-09-27T23:45:59Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.412,"p_room":0.28,"age_days":72,"expected_fill_days":26,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":false},"html_url":"https://alion.io/job/pearson-lead-specialist-ai-scientist-2","json_url":"https://alion.io/job/pearson-lead-specialist-ai-scientist-2.json","meta":{"generated_at":"2026-11-02T20:53:33Z","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":29276,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":34029},"rest":"https://alion.io/mcp/rest/get_company?id=34029"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpearson-lead-specialist-ai-scientist-2"},{"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%2Fpearson-lead-specialist-ai-scientist-2"},{"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%2Fpearson-lead-specialist-ai-scientist-2"},{"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/pearson-lead-specialist-ai-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpearson-lead-specialist-ai-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1360475}},{"tool":"search_jobs","arguments":{"company":"pearson.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1360475},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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