<p>Kforce has a client in Aurora, CO that is seeking an AI/ML Engineer who will act as a technical subject matter expert (SME) in Agentic AI, supporting the IT Director of Agentic AI. This role is critical for driving the adoption of Agentic AI across the company. The Engineer will co-develop advanced AI workflows and build custom Agentic AI platforms and applications at an enterprise level.</p> <p>Key Responsibilities:</p> <ul> <li>Agentic AI Expertise: Design, build, and optimize AI Agents using advanced methods (e.g., Naive Bayes, Random Forests) and understand their impact on agent performance </li><li>AI Communication: Explain AI concepts to both technical and non-technical audiences; facilitate training and pilot projects </li><li>IT Infrastructure: Work across multi-cloud and on-premises environments, selecting appropriate cloud-native resources (e.g., AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, MongoDB, BigQuery) to support AI initiatives </li><li>Use Case Evaluation: Assess and recommend AI technologies and techniques (e.g., GPT-4.0, Anthropic Claude, RAG, Neo4j, GraphRAG, multimodal AI, IBM Bee-Hive) for various business needs </li><li>Education & Advocacy: Serve as an AI advocate, coaching and empowering teams to develop and deploy AI Agents </li><li>Responsible AI: Apply best practices in AI governance, security, and compliance (e.g., NIST, OWASP, ATLAS-MITRE, GDPR) </li><li>Full Stack Development: Build AI Agents end-to-end using tools such as VS Code, Python, JavaScript, React.js, Node.js, pyspark, scikit-learn, Jupyter, SQL </li><li>Model Development: Develop, train, and fine-tune machine learning models and large language models (LLMs)* To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed </li><li>Relevant education and/or training will be considered a plus </li></ul>