Azure-AI Engineer - Remote

Key Skills & Experience

• Strong software engineering fundamentals with a hands-on builder mindset and experience delivering production-grade applications.

• Some who has experience with and introduced software engineering best practices (architecture/design patterns, building scalable, high performant and secure solutions) to AI engineering teams and AI solutions.

• Practical experience working on AI solutions alongside AI Engineers, with understanding of common patterns such as RAG, agentic workflows, API-based model integration, and evaluation or observability needs.

• Strong Azure experience across infrastructure, platform services, security, identity, and networking.

• Experience with DevOps tooling, CI/CD pipelines, environment management, and secure deployment practices.

• Strong experience with open source and cloud technologies such as Neo4j, Cosmos DB, PostgreSQL, MongoDB, Kafka, Containers, K8s, FastAPI, and related application frameworks.

• Strong understanding of data platform choices, including when to use relational, NoSQL, graph, vector, and event-driven architectural patterns.

Key Responsibilities

• Architect and build high performance, scalable and secure AI solutions.

• Introduce and implement software engineering best practices (architecture/design patterns, building scalable, high performant and secure solutions).

• Responsible for code reviews and scaleability and security of production deployed systems

• Integrate AI solutions with UAIS and other systems to enable secure enterprise deployment.

• Select and apply the right technical patterns for AI solutions in partnership with AI Engineers.

• Scaffold projects, repositories, pipelines, environments, and shared services needed for delivery.

• Build core application components, APIs, data integrations, and deployment-ready services.

• Partner closely with DevOps and platform teams to ensure secure, scalable, and supportable deployments.

• Lead CI/CD, testing, release processes, and operational readiness for MVP and production solutions.