{"id":1360483,"url":"https://alion.io/job/pearson-lead-specialist-technology-solutions-agentic-automations","title":"Lead Specialist, Technology Solutions - Agentic Automations","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":78,"open_postings":20,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Power Automate","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"UiPath","optional":false}],"status":"live","first_seen_at":"2026-08-14T10:09:42Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-22T03:57:58Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"About Pearson\nAt Pearson, our purpose is simple: Add life to a lifetime of learning.\nAs a global leader in digital learning, we are transforming how people learn through innovative, AI-powered experiences that improve outcomes and create meaningful impact. Pearson is embracing a digital-first future where AI, automation, and intelligent systems enable employees to focus on higher-value work while accelerating business transformation.\nThe Office of the CTO powers this transformation by delivering scalable, secure, resilient, and intelligent enterprise platforms. Within Digital & Technology (D&T), the AgentOps Team leads the next generation of enterprise automation through Agentic AI, intelligent workflows, and autonomous systems that drive measurable business value.\nWhy Join AgentOps?\nThis is an opportunity to be at the forefront of enterprise AI innovation and help shape how humans and AI agents collaborate at scale.\nYou will:\nBuild cutting-edge agentic AI solutions deployed across Pearson's global enterprise\nCreate intelligent workflows that combine automation, reasoning, and human oversight\nSolve high-impact business challenges using advanced AI technologies\nInfluence enterprise-wide AI engineering and automation standards\nHelp define the future of a symbiotic workforce where humans and AI agents work together seamlessly\nRole Overview\nThe Lead Specialist, Agentic Automations is a senior practitioner and solution leader responsible for driving the end-to-end discovery, design, and delivery of enterprise-scale Agentic AI and intelligent automation solutions.\nThis role sits at the intersection of business strategy, process transformation, and AI engineering. You will work closely with business leaders, architects, engineers, and product teams to identify automation opportunities, design scalable agent ecosystems, and deliver solutions that generate measurable business outcomes.\nAs a critical member of AgentOps, you will translate complex business challenges into intelligent, AI-powered workflows while ensuring alignment with enterprise architecture, governance, risk, compliance, and ROI objectives.\nYou will play a key role in advancing Pearson's vision of an AI-enabled enterprise powered by agentic systems and intelligent automation.\nKey Responsibilities\nBusiness Analysis & Opportunity Discovery\nLead end-to-end requirements gathering, process discovery, and stakeholder workshops for agentic automation initiatives.\nAnalyze business processes to identify opportunities for intelligent automation, autonomous agents, and AI-driven workflow transformation.\nFacilitate cross-functional discussions with SMEs, product owners, operational teams, and business leaders.\nDocument and validate business requirements, use cases, process maps, and success criteria.\nTranslate business challenges into scalable AI and automation solutions with clearly defined value realization metrics.\nEstablish measurable ROI, productivity, efficiency, quality, and cost optimization objectives.\nSolution Design & Agentic Architecture\nDesign intelligent workflows, multi-agent systems, and semi-autonomous business processes.\nDefine agent behaviors, orchestration patterns, decision frameworks, escalation mechanisms, and human-in-the-loop controls.\nCreate comprehensive solution artifacts including: Process Design Documents (PDDs)\nSolution Design Documents (SDDs)\nUser Journeys\nProcess Flows\nSystem Interaction Diagrams\nAgent Behavior Models\nData & Integration Specifications\n\nPartner with architects and engineering teams to establish scalable and reusable design patterns.\nEnsure solutions align with enterprise platform, integration, security, and governance standards.\nAgentic AI & Automation Delivery\nLead the functional design and implementation of agentic automation solutions.\nCollaborate with developers, AI engineers, and automation specialists throughout the delivery lifecycle.\nDesign workflows incorporating: Autonomous and semi-autonomous agents\nHuman review and approval stages\nEscalation paths\nException handling\nFeedback loops\nContinuous learning mechanisms\n\nDrive adoption of reusable components, templates, skills, prompts, and accelerators across initiatives.\nSupport enterprise rollout, change management, and operational readiness activities.\nStakeholder Management & Leadership\nServe as the primary liaison between business stakeholders, delivery teams, and leadership.\nCommunicate solution vision, business value, risks, and implementation approaches to executive and technical audiences.\nManage competing priorities and navigate ambiguity in complex transformation programs.\nFacilitate decision-making and proactively escalate risks, dependencies, and roadblocks.\nMentor team members and promote best practices in agentic automation delivery.\nResponsible AI, Governance & Risk Management\nEnsure all solutions comply with Pearson's Responsible AI framework.\nImplement controls to mitigate: Hallucination risks\nPrompt injection attacks\nData leakage\nModel misuse\nCompliance and privacy risks\n\nApply governance requirements based on solution risk levels including low, medium, and high-stakes use cases.\nSupport auditability, explainability, transparency, and regulatory compliance requirements.\nPartner with security, legal, privacy, and risk teams to ensure enterprise readiness.\nDelivery Excellence & Business Impact\nPartner with program and project managers to ensure successful execution and delivery.\nDefine and track success metrics including: Productivity improvements\nCost reduction and avoidance\nTime savings\nAutomation utilization\nEmployee experience improvements\nCustomer experience outcomes\n\nEnsure solutions integrate with enterprise observability, monitoring, telemetry, and governance platforms.\nDrive continuous optimization through performance measurement and feedback.\nInnovation & Capability Building\nContribute to Pearson's AgentOps roadmap and enterprise AI strategy.\nCreate and maintain reusable assets including: Prompt libraries\nAgent templates\nAutomation accelerators\nDesign standards\nPlaybooks and frameworks\n\nEvaluate emerging AI, agentic, and automation technologies.\nChampion an agentic-first mindset and culture of continuous learning across the organization.\nTechnology Ecosystem\nAgentic AI & Large Language Models\nAzure OpenAI\nOpenAI APIs\nClaude\nEnterprise AI Platforms\nMulti-Agent Frameworks\nAutomation & Orchestration\nUiPath Studio\nUiPath Orchestrator\nUiPath Agent Builder\nUiPath Document Understanding\nMicrosoft Power Automate\nData, Integration & Enterprise Platforms\nREST APIs\nJSON / XML\nOAuth\nSalesforce\nServiceNow\nOracle\nBigQuery\nOCR & Intelligent Document Processing\nEngineering & Development\nPython\nJavaScript\nSQL\nGit & Version Control\nAI-Assisted Development Tools (Claude, Cursor, GitHub Copilot)\nRequired Qualifications\nEducation\nBachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.\nMaster's degree preferred but not required.\nExperience\n8+ years of experience in technology consulting, digital transformation, automation, AI, or enterprise solution delivery.\nDemonstrated experience leading complex, cross-functional automation and AI initiatives.\nStrong experience conducting discovery workshops and translating business requirements into technology solutions.\nProven success delivering measurable business outcomes through automation, AI, or enterprise transformation programs.\nTechnical & Functional Expertise\nDeep understanding of:\nAgentic AI and autonomous systems\nIntelligent process automation\nEnterprise integration patterns\nHuman-in-the-loop workflow design\nAI governance and Responsible AI principles\nEnterprise architecture frameworks\nBusiness process analysis and optimization\nRisk management, compliance, and security requirements\nLeadership Competencies\nStrategic thinking and problem solving\nExceptional stakeholder management\nStrong communication and facilitation skills\nExecutive presence and influence\nDecision-making under ambiguity\nCollaboration across global and cross-functional teams\nContinuous learning and innovation mindset\nSuccess Measures\nSuccess in this role will be measured by:\nEnterprise adoption of agentic automation solutions\nMeasurable productivity and efficiency gains\nROI realization from automation investments\nDelivery quality and stakeholder satisfaction\nReusability and scalability of solutions\nCompliance with Responsible AI and governance standards\nContribution to Pearson's AI and automation transformation agenda\nPearson 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