ML Solutions Architect

Requirements

• ML Architecture and Design
• Solution Design: Ability to architect end-to-end ML systems for diverse business problems;
• ML Lifecycle: Deep understanding of the full ML lifecycle from data to deployment;
• System Design: Experience designing scalable, production-grade ML architectures;
• Trade-off Analysis: Ability to evaluate technical approaches (cost, performance, complexity);
• Feasibility Assessment: Quickly assess if ML is an appropriate solution for a problem.
• Agentic Engineering & AI-Assisted Development
• Agentic Architecture: Deep understanding of agent design patterns, state management, and orchestration frameworks;
• Claude Ecosystem: Hands-on experience with Claude Code, Claude Agent SDK, and Anthropic's tool ecosystem;
• MCP Proficiency: Understanding of Model Context Protocol architecture for designing client integrations;
• Agent Frameworks: Practical knowledge of LangGraph, LangChain agents, and multi-agent orchestration patterns;
• AI-Assisted Workflows: Demonstrated experience with AI coding assistants (Cursor, GitHub Copilot, Claude Code) for rapid prototyping;
• Tool Ecosystem Design: Ability to architect function calling and tool use strategies for complex client requirements;
• AgentOps Understanding: Knowledge of agent monitoring, evaluation frameworks, and cost optimization strategies;
• POC Development: Ability to rapidly build compelling agentic demonstrations using AI-assisted development.

Additional Information

As an ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills. In the era of Generative AI and autonomous systems, you'll also be responsible for architecting agentic solutions that leverage LLMs, tool ecosystems, and AI-assisted workflows to deliver transformative value to clients.

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Company Intel

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