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Mid-level AI platform role with 5+ years and broad GenAI/MLOps requirements increases competition.
Specialized AI platform, GenAI, and MLOps skills limit transferability across unrelated industries.
Explicit 5+ years, required C#/.NET and MLOps/GenAI experience raise screening strictness.
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Design, develop, and deploy AI platform services including model lifecycle management, orchestration, and inference using tools like Microsoft Copilot Studio and IBM Orchestrate.
Implement and scale GenAI and LLM-based solutions across enterprise use cases while establishing MLOps and GenAIOps practices including CI/CD, monitoring, and governance.
Define and execute AI platform roadmap, partner with product managers and engineering teams, and communicate platform strategy and trade-offs to leadership.
5+ years of experience in software engineering, application development, or related technical delivery roles.
Hands-on experience with modern programming languages, APIs, cloud services, CI/CD, automated testing, and production support.
Proficient in C# .NET.
Experience delivering AI-enabled, data-driven, automation, integration, or workflow solutions.
Experienced in building and scaling cloud-native, distributed AI systems with pragmatic, supportable solutions within enterprise guardrails.
Ability to translate business needs into actionable AI implementation details and communicate technical concepts clearly to diverse stakeholders.
Familiar with responsible AI practices including governance, security, and compliance and capable of driving adoption of reusable AI capabilities across teams.