Artificial Intelligence Engineer

Responsibilities:

• Lead technical implementation and delivery of Analytics, AI, and GenAI solutions across multiple projects.
• Lead design and development of GenAI applications leveraging Azure AI Foundry, Azure OpenAI, Azure AI

Search, and related Azure services.

• Design and implement Retrieval Augmented Generation (RAG) solutions, agent-based workflows, prompt

orchestration frameworks, and AI-enabled business applications.

• Build scalable APIs, services, integrations, and cloud-native applications supporting AI solutions.
• Implement application security, observability, monitoring, testing, and operational readiness capabilities.
• Translate architecture, & functional requirements into detailed technical designs and implementation plans.
• Partner with Architects and Product Leaders to ensure solutions align with enterprise architecture standards and

platform capabilities.

• Establish and enforce development standards, coding practices, testing standards, and deployment processes.
• Conduct code reviews and technical quality assessments.
• Ensure solutions meet scalability, performance, security, maintainability, and reliability requirements.
• Support production readiness reviews, deployment planning, operational handoff, and incident resolution activities.
• Participate in architecture reviews and contribute to reusable platform capabilities and accelerators.
• Promote adoption of reusable frameworks, components, development patterns, and DevOps practices.
• Guide engineers on architecture patterns, coding practices, cloud technologies, GenAI development, and

troubleshooting approaches.

• Mentor junior engineers and support onboarding and development of new team members.
• Assist in technical interviews and candidate evaluations.

Experience Needed:

• 10+ years of experience in software engineering, cloud engineering, analytics, AI, data engineering, or application

developmentRole & responsibilities

Preferred candidate profile