4 Sagemaker Studio Jobs

Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications Do you geek out over LLMs, RAG, MCP and agentic architectures Want to help shape a brand-new team and build cool stuff that actually ships If so, read on. We're building a new Applied AI team within Autodesk's Data and Process Management (DPM) group. As a Founding Principal Engineer, you'll be at the heart of this initiative - working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. You'll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities: . Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure . Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction . Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints . Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences . Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams . Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and more-and bring these innovations to production effectively . Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production . Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications: . Masters in computer science, AI, Machine Learning, Data Science, or a related field . 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems . Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications . Experience fine-tuning LLMs using real-world datasets and integrating them into production systems . Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings . Deep understanding of data modeling, system architectures, and processing techniques . Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development . Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. . Proficiency in Python or TypeScript . You love tackling complex challenges and delivering elegant, scalable solutions . You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications: . Experience building AI applications in the CAD or manufacturing domain. . Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) . Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) . A passion for mentoring and growing engineering talent . Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents . Contributions to open-source AI projects or publications in the field . Bonus points if you've ever explained RAG to a non-technical friend-and they got it #LI-Hybrid #LI-SB4 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site).

As a Founding Principal Engineer on the new Applied AI team within Autodesk's Data and Process Management (DPM) group, you play a crucial role in designing, building, and scaling AI-powered experiences that provide essential Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to customers. Your work will involve creating production-grade AI applications that are scalable, resilient, and secure, while also shaping the AI strategy for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction. You will be responsible for fine-tuning, evaluating, and deploying large language models (LLMs) in production environments, while balancing performance, cost, and user experience with real-world data and constraints. Additionally, you will collaborate with other engineering teams to define best practices for AI experimentation, evaluation, and optimization, as well as design frameworks and tools to facilitate the development of AI-powered experiences by other teams. To be successful in this role, you must hold a Masters in computer science, AI, Machine Learning, Data Science, or a related field, and have at least 10 years of experience building scalable cloud-native applications, with a focus on production AI/ML systems for at least 3 years. Deep understanding of LLMs, VLMs, foundation models, and related technologies, along with experience with AWS cloud services and SageMaker Studio is essential. Proficiency in Python or TypeScript, a passion for tackling complex challenges, and the ability to communicate technical concepts clearly to both technical and non-technical audiences are also required. Preferred qualifications include experience in the CAD or manufacturing domain, building AI applications, designing evaluation pipelines for LLM-based systems, and familiarity with tools and frameworks for LLM fine-tuning and orchestration. A passion for mentoring engineering talent, experience with emerging Agentic AI solutions, and contributions to open-source AI projects or publications in the field are considered a plus. Join Autodesk's innovative team to shape the future of AI applications and contribute to building a better world through technology.,

Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications Do you geek out over LLMs, RAG, MCP and agentic architectures Want to help shape a brand-new team and build cool stuff that actually ships If so, read on. Were building a new Applied AI team within Autodesks Data and Process Management (DPM) group. As a Founding Principal Engineer, youll be at the heart of this initiative working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. Youll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and moreand bring these innovations to production effectively Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications Masters in computer science, AI, Machine Learning, Data Science, or a related field 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications Experience fine-tuning LLMs using real-world datasets and integrating them into production systems Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings Deep understanding of data modeling, system architectures, and processing techniques Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. Proficiency in Python or TypeScript You love tackling complex challenges and delivering elegant, scalable solutions You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications Experience building AI applications in the CAD or manufacturing domain. Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) A passion for mentoring and growing engineering talent Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents Contributions to open-source AI projects or publications in the field Bonus points if youve ever explained RAG to a non-technical friendand they got it Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk its at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When youre an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesks competitive compensation package. Offers are based on the candidates experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site). Show more Show less

The Data Science Lead position at our company is a key role that requires a skilled and innovative individual to join our dynamic team. We are looking for a Data Scientist with hands-on experience in Copilot Studio, M365, Power Platform, AI Foundry, and integration services. In this role, you will collaborate closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and facilitate digital transformation. Key Responsibilities: - Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry. - Utilize M365 tools and services to integrate data-driven solutions within the organization's digital ecosystem. - Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI). - Establish, maintain, and optimize data pipelines and integration services to ensure seamless data flow across platforms. - Engage with stakeholders to comprehend business requirements and translate them into actionable data science projects. - Communicate complex analytical insights effectively to both technical and non-technical audiences. - Continuously explore and assess new tools and technologies to enhance existing processes and solutions. Required Skills and Qualifications: - 5-12 years of overall experience. - Demonstrated expertise in Copilot Studio, M365, Power Platform, and AI Foundry. - Strong understanding of data integration services and APIs. - Proficient in data modeling, data visualization, and statistical analysis. - Experience with cloud platforms like Azure or AWS is advantageous. - Exceptional problem-solving and critical-thinking abilities. - Effective communication and collaboration skills. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Preferred Skills: - Familiarity with additional AI and machine learning frameworks. - Knowledge of agile methodologies and collaborative tools. - Certifications in Power Platform, Azure AI, or M365 are a plus. If you are a proactive and results-driven individual with a passion for data science and a desire to contribute to cutting-edge projects, we encourage you to apply for this challenging and rewarding opportunity as a Data Science Lead with our team.,