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Tier-1 brand, metro location, mid-level generalist title and broad skill requirements increase candidate competition.
Requires deep AI, cloud and Azure experience, limiting cross-industry transferability.
Explicit 6+ years, mandatory cloud/distributed systems, security/on-call experience and background screening make filters strict.
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Develop and own customer-facing, high performance, low latency, and highly available AI services within the Responsible AI domain.
Design and improve software architecture, ensuring solutions meet performance, scalability, reliability, security, and compliance standards.
Lead operational excellence including telemetry, monitoring, incident response, and deployment strategies for AI services integration with Azure AI platforms.
Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent experience.
Minimum 6 years of professional software engineering experience with strong hands-on development in C# or Python.
Proven experience delivering complex software features end-to-end including design, implementation, testing, deployment, and operational support.
Ability to pass Microsoft Cloud Background Check and meet security screening requirements.
Experienced in software design for scalable, secure, and reliable cloud-based distributed systems with telemetry and diagnostics.
Demonstrated leadership in code quality, architecture decisions, mentoring, and cross-team collaboration.
Familiarity with AI platforms, large language models (LLMs), and machine learning concepts to design intelligent engineering solutions.