> Markdown version of [/jobs/ext/1788777-manager-data-scientist](https://www.wearedevelopers.com/jobs/ext/1788777-manager-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Scientist - **Company:** Applied Materials - **Location:** Austin, TX, United States (Remote available) - **Experience:** Experienced - **Salary:** $176,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Engineering, Program Optimization, Memory Management, Graph Database, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, Software Deployment, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Data Layers, Containerization, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, Databricks - **Published:** July 11, 2026 - **Apply:** https://amat.wd1.myworkdayjobs.com/External/job/AustinTX/Manager--Data-Scientist_R2622927 ## About the Role + 7+ years of software engineering, data science, machine learning, or AI experience. + 3+ years building production-grade AI/ML solutions using Python. + 3+ years developing Generative AI, Agentic AI, Multi-Agent Systems, RAG, Knowledge Graphs, or LLM applications. + Experience with Azure AI, Databricks, OpenAI, LangGraph, Semantic Kernel, CrewAI, AutoGen, vector databases, and cloud-native architectures. + Demonstrated track record delivering enterprise-scale AI products from concept through production. ## Description Lead the architecture, design, and implementation of Agentic AI solutions and Multi-Agent Systems that solve complex business and manufacturing challenges through autonomous reasoning, planning, orchestration, and execution. Drive the development of AI agents using modern frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents, Azure AI Foundry) to enable decision intelligence, workflow automation, knowledge retrieval, and operational optimization. Serve as a hands-on technical leader responsible for building scalable AI platforms, including agent orchestration, memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and enterprise AI architectures. Lead the development of advanced AI capabilities, including reasoning agents, planning agents, orchestration agents, code-generation agents, analytics agents, and domain-specific copilots that improve business outcomes and operational efficiency. Collaborate with business stakeholders, product teams, engineers, data scientists, and subject matter experts to identify high-value AI use cases and translate them into production-grade AI solutions. Establish AI engineering best practices covering LLMOps, AI governance, evaluation frameworks, observability, security, safety, prompt engineering, context engineering, model optimization, and continuous improvement. Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks. Build and optimize agent memory architectures, semantic layers, knowledge repositories, and enterprise ontologies to improve reasoning quality, contextual awareness, and autonomous execution. Lead proof-of-concept development, rapid prototyping, and production deployments while ensuring scalability, reliability, maintainability, and measurable business value. Mentor and guide AI engineers and data scientists while remaining actively involved in coding, architecture reviews, solution design, model development, and technical problem solving. Stay current with emerging advances in Generative AI, Agentic AI, foundation models, reasoning systems, and autonomous agents, driving adoption of innovative technologies across the organization. Required Education Background Bachelors in one of the following Computer Science, Artificial Intelligence or Data Science, + Recognized technical expert in Generative AI, Agentic AI, Multi-Agent Architectures, and Enterprise AI Platforms. + Deep expertise in Large Language Models (LLMs), RAG, vector databases, knowledge graphs, AI orchestration frameworks, machine learning, and cloud-native architectures. + Strong hands-on software engineering capabilities with Python and modern AI development frameworks. + Demonstrated ability to design scalable, production-ready AI systems across multiple technology domains. Business Expertise + Anticipates emerging AI technology trends and identifies opportunities to create competitive advantages through AI-driven automation and intelligence. + Partners with business leaders to define AI strategy, prioritize use cases, and deliver measurable business outcomes through autonomous and intelligent systems. + Understands manufacturing, supply chain, engineering, operational, and enterprise business processes and how Agentic AI can transform them. Leadership + Leads complex AI transformation initiatives from strategy through implementation and production deployment. + Drives cross-functional teams delivering enterprise-scale Agentic AI and automation solutions. + Influences technical direction, architecture standards, and AI governance across the organization. Problem Solving + Solves highly complex and ambiguous business and technical problems through innovative application of AI, machine learning, and autonomous agent technologies. + Develops novel approaches for reasoning, planning, orchestration, workflow automation, and knowledge-driven decision making. + Balances experimentation and innovation with production-grade engineering principles. Impact + Influences enterprise AI strategy, technology investments, architecture decisions, and adoption of next-generation AI capabilities. + Delivers scalable AI solutions that improve productivity, operational performance, decision quality, and business agility. + Shapes long-term AI platform roadmaps and standards for the organization. Interpersonal Skills + Communicates complex AI concepts and architectures effectively to executive leadership, technical teams, and business stakeholders. + Drives alignment across diverse organizations and builds consensus around AI strategy and solution approaches. + Effectively mentors teams and promotes adoption of AI best practices across the enterprise. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)