Manager of Artificial Intelligence

4 weeks ago

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Key Responsibilities Architect Scalable Data & AI Solutions: Design and architect end-to-end data and AI systems, including data pipelines, model workflows, and AI services, ensuring scalability, reliability, and performance across enterprise use cases. GenAI Enablement: Help Integrate Generative AI capabilities such as entity extraction, summarization, and retrieval-augmented generation (RAG) into enterprise data platforms to enrich and contextualize data assets. Agentic AI Frameworks: Architect autonomous AI agent systems using frameworks like LangGraph, CrewAI, or similar, enabling multi-agent collaboration and orchestration for complex business tasks. AI/ML Strategy & Governance: Define and implement AI/ML architecture standards, model lifecycle governance, and responsible AI practices including bias testing, explainability, and ethical deployment. Cross-Functional Collaboration: Partner with Data Engineers, MLOps, and Platform teams to ensure seamless integration of AI models into production environments, including containerization, CI/CD pipelines, and monitoring. Tooling & Platform Standardization: Drive standardization of AI development tools, libraries, and infrastructure across teams to improve productivity, maintainability, and compliance. Advanced Analytics Enablement: Enable teams to build high-performing models by providing architectural guidance on model selection, and performance optimization. Data Architecture Alignment: Work closely with data architects to align AI solutions with enterprise data strategy, including data lakehouse design, metadata management, and data quality frameworks. Innovation & Thought Leadership: Stay ahead of emerging trends in AI, GenAI, and data architecture; evaluate new technologies and frameworks for adoption; and evangelize best practices across the organization. Stakeholder Engagement: Collaborate with business leaders, product owners, and domain experts to translate strategic objectives into AI-enabled solutions and ensure alignment with business goals. Communication: Provide architectural insights and solution roadmaps through clear documentation, visual models, and presentations to technical and non-technical stakeholders.

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