Artificial Intelligence Engineer

Job description

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