13234BRJob Description: Job Summary: The ideal candidate will be responsible for designing and developing Retrieval-Augmented Generation (RAG) applications using internal data sources. This role involves integrating Large Language Models (LLMs) such as OpenAI and Azure OpenAI with enterprise search, vector databases, and knowledge graphs. The AI Engineer will analyze both structured and unstructured data for downstream machine learning and generative applications, build custom AI agents, and fine-tune models for business-specific tasks. Experience with Azure AI Foundry, C3AI, Snowflake, or similar orchestration platforms is essential. Key Responsibilities: + Design and develop Retrieval-Augmented Generation (RAG) applications using internal data sources. + Integrate Large Language Models (LLMs) (e.g., OpenAI, Azure OpenAI) with enterprise search, vector databases, and knowledge graphs. + Analyze structured and unstructured data for downstream machine learning and generative applications. + Build custom AI agents and fine-tuned models tailored to business-specific tasks. + Utilize platforms such as Azure AI Foundry, C3AI, Snowflake, or similar orchestration tools to enhance AI capabilities. Qualifications: + Proven experience in designing and developing AI applications, particularly Retrieval-Augmented Generation (RAG) applications. + Strong knowledge of integrating LLMs with enterprise search, vector databases, and knowledge graphs. + Proficiency in analyzing structured and unstructured data for machine learning and generative applications. + Experience in building custom AI agents and fine-tuning models for specific business needs. + Familiarity with Azure AI Foundry, C3AI, Snowflake, or similar orchestration platforms. + Excellent problem-solving skills and the ability to work collaboratively in a team environment. + Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Preferred Skills: + Experience with additional AI and machine learning frameworks and tools. + Knowledge of data engineering and data science best practices. + Ability to stay updated with the latest advancements in AI and machine learning technologies. Education: + Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Auto req ID:13234BRCompany:Big River Steel LLCPosting Title:AI EngineerWork Location - City:Osceola Company Overview: Since 1901, U. S. Steel has been a recognized leader in steel production. Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy. We show pride in our communities with community partnerships, corporate charitable contributions, company-sponsored employee volunteer initiatives, leadership training, and much more. And of course, we have a steadfast commitment to safety first in our workplaces and respect for our employees, who are United by Steel. We are honored to have earned accolades and awards from well-regarded organizations, including the following: + Newsweek’s Top 100 Most Loved Workplaces® 2021, ’22, ‘23 + Human Rights Campaign Foundation’s Equality 100 Award 2020, ’21,’22, ‘23 + Disability:IN’s Best Places to Work for Disability Inclusion 2021, ’22, ‘23 + Ethisphere’s World’s Most Ethical Companies® 2022, ‘23 + Military Times’ Best for Vets: Employers 2023 + Mansfield Certification for progressing Diversity, Equality, and Inclusion in Legal Department: 2023 Conducting business with integrity and with the highest ethical values has underpinned U. S. Steel’s success for over 100 years, and it remains critical to our company’s success in the future. U. S. Steel is an Equal Opportunity Employer. It is our policy to provide equal employment opportunity (EEO) according to job qualifications without discrimination on the basis of race, color, religion, ancestry, national origin, age, genetics, sexual orientation, sex, gender identity, disability status or status as a protected Veteran or any other legally protected group status. (California residents may visit www.ussteel.com/CANotice regarding collection of personal information and U. S. Steel's privacy practices.) Competency Summary: At U. S. Steel all employees are expected to display the following core competencies every day to advance corporate, team and individual goals: Think: Think Critically and Drive Change Lead: Develop Talent and Collaborate Do: Empower Performance and Deliver Results