Technical Lead - AI Delivery

Ardent SoftSol Inc.; Brampton; On-site; CAD 140,000 - 180,000; Full time

Job summary

Ardent SoftSol Inc. in Brampton, ON is seeking a Technical Lead - AI Delivery to design, implement, and scale enterprise AI solutions across Finance, HR, and Supply Chain. You will architect AI platforms using Oracle Fusion Cloud, AI Agent Studio, and integration patterns.

You will guide delivery teams, govern AI initiatives, and ensure security, governance, and production readiness. Strong leadership and stakeholder management are essential for success.

Qualifications

• 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.
• Bachelor's degree as listed in Education.

Responsibilities

• 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 and implement Oracle-delivered AI Agents and custom AI agent solutions.
• Establish technical standards and best practices for AI development and deployment.
• Drive the design of agentic workflows, AI orchestration, and automation solutions.
• Lead technical workstreams through discovery and solution design.
• Collaborate with delivery teams for development, testing, deployment, and Hypercare.

Skills

Oracle Fusion Cloud Apps

Oracle AI Agent Studio

REST APIs

GenAI technologies

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline

Tools

Oracle Fusion APIs

Integration framework

Security models

Job description

This job posting is for an existing, active vacancy and we are looking to hire Technical Lead - AI Delivery in Brampton, ON (Onsite), who has experience as lead the design, development, implementation, and operationalization of enterprise AI solutions across Finance, Supply Chain, Procurement, HR, and Shared Services platforms.

Position Summary

They will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will work closely with business stakeholders, solution architects, vendors, security teams, and delivery teams to transform AI opportunities into scalable production solutions that drive business value.

Key Responsibilities

• 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.
• 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 solution design.
• 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.

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

• Power Platform.
• AI governance and Responsible AI frameworks.
• Agentic AI architecture and multi-agent orchestration.
• Retrieval-Augmented Generation (RAG).
• Process automation and workflow platforms.
• 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

• OCI AI Foundations Certification
• PMP or Agile Certification
• TOGAF or Solution Architecture Certification