Enterprise AI Architect - Product Analytics & AI/MLClient of Maven Companies Inc. • Plano, Texas, United States
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Enterprise AI Architect - Product Analytics & AI/ML
Client of Maven Companies Inc.
- Plano, Texas, United States
- Plano, Texas, United States
Über
Plano, TX (Onsite) Experience:
15+ Years Job Summary We are seeking a Enterprise AI Architect with 15+ years of experience in designing and implementing enterprise-scale technology solutions, including at least 5–7 years focused on advanced AI/ML systems. This role requires deep expertise in Agentic AI, Multi-Agent Orchestration, LLM Integration, MCP, RAG frameworks, AI Governance, and Cloud AI ecosystems (AWS, Azure, GCP). The successful candidate will serve as a strategic leader, guiding enterprise AI adoption and ensuring scalable, secure, and ethical deployment of AI solutions. Key Responsibilities Lead the design and deployment of multi-agent orchestration systems and Agentic AI frameworks. Architect solutions integrating LLMs, MCP, RAG frameworks and Tool calling into enterprise workflows. Author MCP (Model Context Protocol) servers, tools, and resources, and integrate them with Cursor, Claude, Codex, Copilot, and internal enterprise systems. Build plugins and extensions for Claude, Codex, Cursor and GitHub Copilot ecosystems. Building AI Agents and Sub-Agents, Agent Skills for tools like Claude Code, Codex, and GitHub Copilot. Familiarity with workflow automation platforms and orchestration tools. Define reference architectures and best practices for AI adoption across business units Drive AI workload optimization across AWS, Azure, and GCP. Establish multi-cloud strategies for scalable, resilient AI services. Evaluate and integrate cloud-native AI/ML services into enterprise platforms. Champion AI governance frameworks ensuring responsible, ethical, and compliant AI usage. Define enterprise-wide policies for data privacy, model transparency, and regulatory compliance. Collaborate with risk and compliance teams to align AI initiatives with global standards. Shape enterprise AI strategy, identifying opportunities for Agentic AI-driven automation and multi-agent collaboration. Stay ahead of emerging AI technologies and frameworks, advising leadership on adoption. Partner with executives to align AI initiatives with business transformation goals. Mentor architects, engineers, and data scientists on advanced AI frameworks. Build cross-functional collaboration between IT, data, and business teams. Represent the enterprise in industry forums, conferences, and AI consortiums. Preferred Qualifications Certifications in GCP, Azure or AWS (e.g., Professional Machine Learning Engineer, Data Engineer). Experience in Agile/Scrum methodologies. Exposure to MLOps and CI/CD pipelines for ML models. Experience working in a product-led company.
Sprachkenntnisse
- English
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