• Design and implement autonomous agents using frameworks like LangChain, LangGraph, or CrewAI that can interact with internal APIs and external tools to solve multi-step problems. • Build and optimize high-performance Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone/Milvus) to ground LLMs in our deterministic identity data. • Take AI prototypes and turn them into scalable, fault-tolerant production services using Python, Docker, and Kubernetes on AWS. • Experiment with prompt engineering, few-shot prompting, and fine-tuning open-source models (Llama 3, Mistral) to balance performance with cost and latency. • Build evaluation frameworks (Evals) to measure agent reliability, accuracy, and safety, ensuring our agents perform deterministically in a production environment. • Work closely with the Principal Engineering Manager to define technical standards, code reviews, and architectural patterns for the growing team.

Role Description Join our Health Applications team to build the next generation of cloud-native EHR platforms. This is a hands-on, high-impact role where you will shape both technical architecture and product direction from the ground up. - You’ll operate at the intersection of distributed systems, cloud infrastructure, and applied AI. - Design intelligent, scalable, and resilient healthcare solutions that directly impact clinical outcomes. Qualifications - Experience in cloud-native application development. - Strong understanding of distributed systems and cloud infrastructure. - Knowledge of applied AI in healthcare solutions. Requirements - Hands-on experience with technical architecture. - Ability to shape product direction from the ground up. Benefits - Competitive benefits that support our people with flexible medical options. - Life insurance and retirement options. - Encouragement to give back to communities through volunteer programs. Company Description Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. With AI embedded across our products and services, we help customers turn that promise into a better future for all. True innovation starts when everyone is empowered to contribute. We’re committed to growing a workforce that promotes opportunities for all. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Title: Agentic AI Engineer Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview Lead Hexion’s enterprise Agentic AI and automation strategy—architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization. Job Responsibilities - Design and build agentic AI systems using modern frameworks such as Microsoft AutoGen, Semantic Kernel, LangGraph, LangChain, or CrewAI — including single-agent, multi-agent, supervisor, and handoff orchestration patterns. - Develop end-to-end agent logic: planning loops, tool use, structured outputs, short- and long-term memory, state management, and human-in-the-loop checkpoints. - Integrate Large Language Models (Azure OpenAI, Anthropic Claude, open-weight models) into business applications with attention to quality, latency, and cost. - Build Retrieval-Augmented Generation (RAG) pipelines — document parsing, chunking, embeddings, hybrid search, and reranking — against vector stores such as Azure AI Search, Databricks Vector Search, Pinecone, or FAISS. - Develop tools and connectors (including Model Context Protocol servers) that expose enterprise data sources and APIs as safe, well-documented actions for agents to call. - Apply prompt engineering best practices and build evaluation harnesses — golden datasets, LLM-as-judge, deterministic assertions — to measure and regression-test agent behavior. - Contribute to deployment and observability: package agents for production on Azure AI Foundry or Container Apps, add tracing (LangSmith, Langfuse, or OpenTelemetry), and help monitor token spend, latency, and failure modes. - Implement guardrails for content safety, PII handling, and safe-action confirmations before any write operation against enterprise systems. - Collaborate with product owners and subject-matter experts to translate business workflows into agent execution plans; prototype rapidly, demo, and iterate. - Maintain high code quality through Git-based workflows, code reviews, unit and integration testing, and clear technical documentation Minimum Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field — or equivalent hands-on experience. - 5+ years of professional software, AI/ML, or data engineering experience, including recent hands-on work with LLMs or agentic workflows (professional projects, internships, or substantive personal projects). - Strong proficiency in Python (asynchronous programming, typing, FastAPI or similar) and solid software engineering fundamentals — APIs, Git, testing, and version control. - Working knowledge of at least one agent framework: Microsoft AutoGen, Semantic Kernel, LangGraph, LangChain, LlamaIndex, or CrewAI. - Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face models) including prompt engineering, function/tool calling, and structured outputs. - Understanding of core agentic concepts: multi-step reasoning, planning, tool use, memory, and multi-agent orchestration. - Familiarity with RAG patterns, vector databases, embeddings, and retrieval evaluation. - Exposure to cloud development on Microsoft Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, Azure AI Search) or equivalent. - Self-directed learner who stays current with a fast-moving field, reads primary sources, and can teach themselves new frameworks with minimal guidance. - Strong problem-solving skills and the ability to work independently while collaborating across globally distributed teams. - Clear written and verbal communication; able to explain technical concepts to non-technical stakeholders. Preferred Qualifications - Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or declarative agent plugins. - Exposure to Palantir AIP, Foundry, or Ontology-driven AI applications. - Experience with Databricks (Mosaic AI, Unity Catalog, MLflow) or Snowflake Cortex. - Familiarity with Model Context Protocol (MCP), tool/function calling, and structured output schemas. - Exposure to LLM observability and evaluation tooling — LangSmith, Langfuse, Arize, or Weights & Biases. - Knowledge of GraphRAG, knowledge graphs, or semantic modeling. - Experience with CI/CD (Azure DevOps or GitHub Actions), Docker, and infrastructure-as-code (Terraform or Bicep). - Public portfolio — GitHub projects, technical blog posts, open-source contributions, or hackathon work — demonstrating curiosity and hands-on learning in generative or agentic AI. - Prior experience delivering AI applications in an enterprise setting, particularly in process industries, manufacturing, supply chain, or commercial analytics. Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision. Nearest Major Market: Canton Nearest Secondary Market: Akron

Title: Manager, Next-Generation AI Cluster Architecture Location: US Job Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding technical leader to help develop the next generation of NVIDIA AI supercomputing systems. This leader will play a crucial role in the early development of AI computing systems at scale. This team is responsible for early investigation of new NVIDIA compute and networking technologies, the design of next-generation GPU cluster architectures, and bringing these architectures to reality by collaborating closely with early system bringup teams. We play a key part in enabling the deployment of large scale datacenter systems with early customers, and develop reference architectures that are used throughout the industry to inform deployment of NVIDIA datacenter products. Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Collaborate with top experts in the field to invent new supercomputing architectures for machine learning and HPC. Work in a fast-paced, remote-friendly environment with teammates in many different locations around the world. What you'll be doing: - Lead a team developing next generation system architectures for future HPC and AI clusters using the latest NVIDIA technologies - Build full-stack systems crafted for high-performance machine learning applications, from the data center and physical architecture, through the network topology and system software stack - Author reference architectures which influence future supercomputing systems for AI and HPC both inside and outside NVIDIA - Collaborate with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products What we need to see: - BS (Masters or PhD preferred) in Applied Science or Engineering (or equivalent experience) - 8+ overall years experience of experience in the high-performance computing or machine learning fields, including 3+ years of technical leadership experience - Proven ability to lead high-performing engineering teams, especially across distributed groups with diverse expertise - Proficiency in software development and system automation with languages such as Go, Python, or Ansible - Creative problem-solver with excellent teamwork and collaboration skills - Ability to work as part of a large, diverse team in a remote-friendly environment Ways to stand out from the crowd: - Experience leading teams building HPC compute and storage systems in a research environment at large scale - Well-developed knowledge of deep learning applications, including multi-GPU and multi-node training and inference workloads - Expertise with high-performance datacenter networking such as InfiniBand and RoCE - Expertise with open-source monitoring technologies such as Prometheus and Grafana - Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.