Description

Key Responsibilities

AI Solution Leadership

• Lead the technical design and delivery of AI-enabled solutions across Oracle ERP, HCM, SCM, and Procurement platforms.
• Design, configure, test, and deploy Oracle AI Agents using Oracle AI Agent Studio.
• Evaluate, recommend, and implement Oracle-delivered AI Agents and custom AI agent solutions.
• Establish technical standards and best practices for AI solution development and deployment.
• Drive the design of agentic workflows, AI orchestration, and business process automation solutions.

Oracle AI Agent Studio

• Configure and manage Oracle AI Agent Studio environments.
• Design and develop custom AI agents and agent teams.
• Configure agent tools, knowledge repositories, workflows, roles, and security.
• Integrate AI agents with Oracle Fusion APIs, business objects, and enterprise systems.
• Optimize agent performance, monitoring, evaluation, and lifecycle management.
• Support AI solution scaling from Proof of Concept (POC) through enterprise production deployment.

Architecture & Integration

• Define end-to-end AI solution architectures.
• Design integrations between Oracle Fusion, Microsoft 365, SharePoint, Teams, Azure AI services, and other enterprise platforms.
• Ensure solutions adhere to enterprise architecture standards, cybersecurity requirements, and governance frameworks.
• Review technical designs and provide guidance to development teams and vendors.

Delivery Leadership

• Lead technical workstreams through discovery and solutiondesign
• Collaborate with the Corp Apps Delivery and QE Teams for development, testing, deployment, and Hypercare activities.
• Collaborate with Program Managers and Product Owners to estimate effort, manage technical risks, and deliver against committed timelines.
• Mentor developers, analysts, and technical consultants.
• Support vendor selection, solution reviews, and technical quality assurance.

Governance, Security & Compliance

• Ensure compliance with AI governance, privacy, security, and responsible AI requirements.
• Partner with Cyber Security, Risk Management, QE, and Architecture teams.
• Develop governance controls, technical documentation, and operational support models.
• Support AI risk assessments and production readiness reviews.

Innovation & Strategy

• Identify opportunities to leverage AI capabilities to improve productivity, automation, customer experience, and operational efficiency.
• Evaluate emerging AI technologies and Oracle AI roadmap enhancements.
• Support the Corporate IT AI Strategy and AI intake process.
• Contribute to AI Centre of Excellence practices, standards, and reusable assets.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
• Master's degree considered an asset.

Experience

• 8+ years of enterprise application delivery experience.
• 5+ years in solution architecture, technical lead, or senior development roles.
• 3+ years delivering AI, ML, GenAI, or intelligent automation solutions.
• Experience delivering large-scale enterprise transformation initiatives.

Technical Skills

Mandatory

• Oracle Fusion Cloud Applications (ERP, SCM, Procurement, HCM).
• Oracle AI Agent Studio.
• Oracle Fusion APIs and integration framework.
• REST APIs and enterprise integration patterns.
• AI/GenAI technologies and LLM concepts.
• Infrastructure, identity management, and role-based security models.
• SDLC, Agile, DevOps, and Quality Engineering practices.

Preferred

• Oracle Cloud Infrastructure (OCI).
• Microsoft Azure AI Services.
• Microsoft Copilot Studio.
• Power Platform.
• AI governance and Responsible AI frameworks.
• Agentic AI architecture and multi-agent orchestration.
• Retrieval-Augmented Generation (RAG).
• Process automation and workflow platforms.

Leadership Competencies

• Strong stakeholder management and communication skills.
• Ability to influence executives, architects, and business leaders.
• Strategic thinker with hands-on technical delivery capability.
• Strong problem-solving and decision-making skills.
• Ability to manage multiple concurrent AI initiatives.

Success Measures

• Successful deployment of AI solutions into production.
• High stakeholder satisfaction and business adoption.
• Measurable value realization and productivity improvements.
• Compliance with security, risk, and governance standards.
• Creation of reusable AI delivery patterns and accelerators.
• Reduced delivery timelines through automation and AI-enabled development.

Nice-to-Have Certifications

• Oracle Fusion Cloud Certification
• Oracle AI Agent Studio Certification
• OCI AI Foundations Certification
• Azure AI Engineer Associate
• PMP or Agile Certification
• TOGAF or Solution Architecture Certification

Key Skills

Education

Bachelor's or Master's degrees