Role overview

The 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. This 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.

As 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. You will play a key role in advancing Pearson's vision of an AI-enabled enterprise powered by agentic systems and intelligent automation.

Why Join AgentOps?

This is an opportunity to be at the forefront of enterprise AI innovation and help shape how humans and AI agents collaborate at scale.

What you'll do

Build cutting-edge agentic AI solutions deployed across Pearson's global enterprise
Create intelligent workflows that combine automation, reasoning, and human oversight
Solve high-impact business challenges using advanced AI technologies
Influence enterprise-wide AI engineering and automation standards
Help define the future of a symbiotic workforce where humans and AI agents work together seamlessly

Business Analysis & Opportunity Discovery

Lead end-to-end requirements gathering, process discovery, and stakeholder workshops for agentic automation initiatives.
Analyze business processes to identify opportunities for intelligent automation, autonomous agents, and AI-driven workflow transformation.
Facilitate cross-functional discussions with SMEs, product owners, operational teams, and business leaders.
Document and validate business requirements, use cases, process maps, and success criteria.
Translate business challenges into scalable AI and automation solutions with clearly defined value realization metrics.
Establish measurable ROI, productivity, efficiency, quality, and cost optimization objectives.

Solution Design & Agentic Architecture

Design intelligent workflows, multi-agent systems, and semi-autonomous business processes.
Define agent behaviors, orchestration patterns, decision frameworks, escalation mechanisms, and human-in-the-loop controls.
Create comprehensive solution artifacts including:
Process Design Documents (PDDs)
Solution Design Documents (SDDs)
User Journeys
Process Flows
System Interaction Diagrams
Agent Behavior Models
Data & Integration Specifications
Partner with architects and engineering teams to establish scalable and reusable design patterns.
Ensure solutions align with enterprise platform, integration, security, and governance standards.

Agentic AI & Automation Delivery

Lead the functional design and implementation of agentic automation solutions.
Collaborate with developers, AI engineers, and automation specialists throughout the delivery lifecycle.
Design workflows incorporating:
Autonomous and semi-autonomous agents
Human review and approval stages
Escalation paths
Exception handling
Feedback loops
Continuous learning mechanisms
Drive adoption of reusable components, templates, skills, prompts, and accelerators across initiatives.
Support enterprise rollout, change management, and operational readiness activities.

Stakeholder Management & Leadership

Serve as the primary liaison between business stakeholders, delivery teams, and leadership.
Communicate solution vision, business value, risks, and implementation approaches to executive and technical audiences.
Manage competing priorities and navigate ambiguity in complex transformation programs.
Facilitate decision-making and proactively escalate risks, dependencies, and roadblocks.
Mentor team members and promote best practices in agentic automation delivery.

Responsible AI, Governance & Risk Management

Ensure all solutions comply with Pearson's Responsible AI framework.
Implement controls to mitigate:
Hallucination risks
Prompt injection attacks
Data leakage
Model misuse
Compliance and privacy risks
Apply governance requirements based on solution risk levels including low, medium, and high-stakes use cases.
Support auditability, explainability, transparency, and regulatory compliance requirements.
Partner with security, legal, privacy, and risk teams to ensure enterprise readiness.

Delivery Excellence & Business Impact

Partner with program and project managers to ensure successful execution and delivery.
Define and track success metrics including:
Productivity improvements
Cost reduction and avoidance
Time savings
Automation utilization
Employee experience improvements
Customer experience outcomes
Ensure solutions integrate with enterprise observability, monitoring, telemetry, and governance platforms.
Drive continuous optimization through performance measurement and feedback.

Innovation & Capability Building

Contribute to Pearson's AgentOps roadmap and enterprise AI strategy.
Create and maintain reusable assets including:
Prompt libraries
Agent templates
Automation accelerators
Design standards
Playbooks and frameworks
Evaluate emerging AI, agentic, and automation technologies.
Champion an agentic-first mindset and culture of continuous learning across the organization.

Agentic AI & Large Language Models

Azure OpenAI
OpenAI APIs
Claude

Enterprise AI Platforms

Multi-Agent Frameworks

Automation & Orchestration

UiPath Studio
UiPath Orchestrator
UiPath Agent Builder
UiPath Document Understanding
Microsoft Power Automate

Data, Integration & Enterprise Platforms

REST APIs
JSON / XML
OAuth
Salesforce
ServiceNow
Oracle
BigQuery

Engineering & Development

Python
JavaScript
SQL
Git & Version Control
AI-Assisted Development Tools (Claude, Cursor, GitHub Copilot)

Required

Qualifications

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
Master's degree preferred but not required.

Experience

8+ years of experience in technology consulting, digital transformation, automation, AI, or enterprise solution delivery.
Demonstrated experience leading complex, cross-functional automation and AI initiatives.
Strong experience conducting discovery workshops and translating business requirements into technology solutions.
Proven success delivering measurable business outcomes through automation, AI, or enterprise transformation programs.

Technical & Functional Expertise

Deep understanding of:
Agentic AI and autonomous systems
Intelligent process automation
Enterprise integration patterns
Human-in-the-loop workflow design
AI governance and Responsible AI principles
Enterprise architecture frameworks
Business process analysis and optimization
Risk management, compliance, and security requirements

Leadership Competencies

Strategic thinking and problem solving
Exceptional stakeholder management

Lead Specialist, Technology Solutions - Agentic Automations

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Job Description