Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Stakeholder Collaboration: Collaborating with application operations, platform operations, engineering, architecture, and business stakeholders to design, deploy, and improve agent-based solutions.
Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
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Build and validate proof-of-concepts (POCs), prototypes, and reference architectures for new AI use cases and technologies.
Develop and integrate AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, automation workflows, predictive analytics, and intelligent knowledge systems.
Design and implement system integrations through APIs, databases, cloud platforms, and enterprise applications.
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Incorporate cybersecurity measures, data protection protocols, and responsible AI principles into every aspect of solution design to safeguard enterprise assets.
Develop and deploy robust AI/ML and Generative AI applications into production environments, ensuring reliability through monitoring and continuous improvement.
Prepare real-world datasets for integration into models while collaborating with engineering teams to embed solutions within existing enterprise systems.
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