Experience:

• Experience integrating applications with enterprise platforms and APIs
• Hands-on experience in AI application development, orchestration, API integration, and enterprise operations

Qualification:

• Microsoft certifications related to Azure, AI, data, security, or development
• Cloud, networking, security, or automation certifications from Microsoft, AWS, CompTIA, Cisco, or similar providers

Responsibilities:

• Engineer production-ready solutions with strong observability, traceability, evaluation, resiliency, and governance
• Develop and maintain APIs, connectors, orchestration components, and automation services required to connect AI agents with operational systems and workflows
• Partner with architects, IT operations leaders, platform owners, and service management teams to translate operational use cases into secure, scalable, and measurable AI solutions

Nice to have:

• Microsoft certifications related to Azure, AI, data, security, or development (for example: AZ-900, AZ-500, AZ-204, AZ-400, AI-901, AI-102, AI-103, AI-200)
• Cloud, networking, security, or automation certifications from Microsoft, AWS, CompTIA, Cisco, or similar providers are beneficial

More skills:

Microsoft Foundry, Microsoft 365, Microsoft Teams, automated testing, infrastructure-as-code

Other:

• The ideal candidate combines strong software engineering fundamentals with hands-on experience in AI application development, orchestration, API integration, and enterprise operations
• Success in this position requires the ability to balance innovation with operational rigor, including security, compliance, resilience, observability, human-in-the-loop controls, and lifecycle management for AI-driven capabilities
• The Agentic AI Engineer will also document designs and procedures, support testing and rollout activities, and collaborate across teams to remove delivery barriers and ensure solutions align with enterprise standards