Agentic AI Platform Specialist

Role overview

The Agentic AI Platform Specialist is responsible for the development, administration, technical evolution, and continuous improvement of enterprise agentic AI platforms and AI agent solutions. The role provides senior technical expertise in the design, creation, deployment, integration, monitoring, security, and lifecycle management of AI agents and the platforms supporting them. The role is expected to operate independently, provide technical leadership, establish reusable patterns and standards, and ensure AI agent solutions are reliable, governed, observable, secure, and aligned with enterprise technology strategy.

Working closely with the AI, Analytics, Cloud, DevOps, Infrastructure, Security, Architecture, and business teams, the position enables the secure and scalable adoption of agentic AI capabilities across the enterprise.

What are your contributions to the team?

• Agentic AI Platform Ownership: Own and administer enterprise platforms, frameworks, and services used to develop, deploy, manage, monitor, and retire AI agents and agentic workflows.
• Agent & Workflow Engineering: Design, build, configure, test, deploy, and maintain AI agents and multi-agent workflows using appropriate models, tools, APIs, knowledge sources, orchestration frameworks, and enterprise services.
• AI Agent Lifecycle Management: Establish and manage lifecycle practices covering development, testing, deployment, versioning, monitoring, performance evaluation, change management, and retirement of AI agents.
• Enterprise Integration & Automation:  Integrate AI agents with enterprise applications, APIs, data sources, workflow platforms, identity services, and automation capabilities while applying appropriate DevOps and CI/CD practices.
• Security, Governance & Responsible AI:  Implement technical controls for identity, access, data protection, model and agent security, prompt/tool controls, auditability, observability, and alignment with enterprise AI governance and security requirements.
• Operational Reliability & Performance: Monitor and troubleshoot agentic AI platforms and solutions, addressing reliability, performance, availability, integration, cost, and operational issues through structured root-cause analysis and continuous improvement.
• Technology Evolution & Innovation: Evaluate emerging agentic AI technologies, models, frameworks, orchestration platforms, and supporting infrastructure; conduct technical assessments and proofs of concept and recommend appropriate enterprise adoption patterns.
• Technical Leadership & Standards: Act as the senior Agentic AI SME, develop reusable patterns and technical standards, provide guidance to Cloud, DevOps, Infrastructure, Security, Architecture, AI, and application teams, and contribute to the enterprise AI technology roadmap.

How to thrive in this role?

Required Qualifications

• Bachelor degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related discipline, or an equivalent combination of education and professional experience.
• 5+ years of professional experience in software engineering, AI/ML engineering, platform engineering, DevOps, automation, or related technology disciplines, with demonstrated senior-level responsibility.
• Demonstrated hands-on experience designing, developing, deploying, and administering AI/LLM-based applications or agentic AI solutions in enterprise or production environments.
• Strong understanding of AI agents, LLMs, prompt engineering, tool/function calling, retrieval-augmented generation (RAG), agent orchestration, APIs, workflows, and multi-agent architectures.
• Strong software engineering and automation skills, including experience with Python and/or equivalent programming languages, APIs, Git, CI/CD, testing, and infrastructure automation.
• Experience integrating AI solutions with enterprise applications, databases, APIs, data platforms, identity services, and cloud infrastructure, preferably within Azure and/or AWS environments.
• Strong understanding of AI security, identity and access management, data protection, model/agent risks, auditability, observability, and responsible AI principles.
• Experience with cloud AI services and agentic AI frameworks/platforms, with the ability to evaluate rapidly evolving technologies and determine their enterprise suitability.
• Strong analytical, communication, and collaboration skills, with the ability to independently resolve complex technical problems and act as a senior technical SME across AI, Cloud, DevOps, Infrastructure, Security, Architecture, and application teams.
• Fluency in English and French, both written and spoken.

Preferred Qualifications

• Experience with enterprise AI platforms and services such as Azure AI, Azure OpenAI, Microsoft Foundry, AWS Bedrock, Google Vertex AI, or equivalent technologies.
• Experience with agentic AI frameworks and technologies such as LangChain, LangGraph, Semantic Kernel, AutoGen, MCP, or equivalent agent orchestration technologies.
• Experience establishing enterprise AI/agent standards, reusable architectures, governance controls, evaluation frameworks, observability, and lifecycle management practices.
• Experience with AI FinOps/cost optimization, model evaluation, agent performance measurement, production monitoring, and multi-cloud AI architectures.