Artificial Intelligence Engineer

Digital & IT Senior Analyst - AI/ML EngineerMayfield Heights, OH 44124 - OnsiteTop Skills:• Python• Gen AI. LLM, RAG. Agentic AI nice to have.• Azure, but will accept AWS or GCP.• ML nice to have.This role sits in their Digital Technology organization which builds data- and AI-powered experiences for internal users and customers. The team spans data engineering, ML engineering, product, and platform operations, working end-to-end from data pipelines through model deployment, monitoring, and continuous improvement. The Senior AI / ML Engineer will lead the design, delivery, and operations of machine learning and generative AI solutions across our digital products and platforms. This senior role balances hands-on engineering, architectural leadership, and cross-functional collaboration to drive measurable business outcomes, while ensuring responsible AI practices and robust production reliability.Interview Process:• 1. Teams interview with Ranjith & Venkat• 2. Onsite tech evaluation and HR meetingPosition SummaryOur Digital Technology organization builds data- and AI-powered experiences for internal users and customers. The team spans data engineering, ML engineering, product, and platform operations, working end-to-end from data pipelines through model deployment, monitoring, and continuous improvement. The Senior AI / ML Engineer will lead the design, delivery, and operations of machine learning and generative AI solutions across our digital products and platforms. This senior role balances hands-on engineering, architectural leadership, and cross-functional collaboration to drive measurable business outcomes, while ensuring responsible AI practices and robust production reliability. This role reports to the Enterprise Digital and IT Lead and is recognized as a subject matter expert (SME) in AI solutions, enterprise integrations and modern software development practices, operate autonomously, set technical standards, mentor others, and influence AI strategy across multiple teams and domainsQualifications• 4-year University degree• Five or more years of experience in Information Technology• Programming: Expert in Python and SQL; strong software engineering practices (testing, patterns, performance).• Classical ML: supervised/unsupervised learning, model evaluation, feature engineering, time series.• Deep Learning: PyTorch or TensorFlow, transformers, CV/NLP pipelines.• Generative AI: LLMs, RAG, fine-tuning, prompt design, evaluation metrics and guardrails.• Agentic AI: Practical experience with concepts such as tool-calling, reasoning loops, task planning or multi-agent orchestration (e.g., AutoGen, LangChain Agents, LangGraph)• Data processing: Spark/Databricks or equivalent; batch and streaming (e.g., Kafka).• Storage: relational and NoSQL; data lakes; vector databases (e.g., FAISS, Pinecone, Weaviate).• CI/CD (e.g., GitHub Actions, GitLab CI), containerization (Docker), orchestration (Kubernetes).• Experiment tracking and model management (e.g., MLflow, Weights & Biases, DVC).• Cloud: Proficiency with one major cloud (AWS, GCP, or Azure) for training and serving (e.g., SageMaker, Vertex AI, AKS).• Security and Privacy: Experience handling sensitive data (PII), encryption, access controls, secure model serving.• Search and retrieval: Elastic/OpenSearch, knowledge graphs, advanced RAG patterns.• Ethics and Compliance: Champions responsible AI and governance.• Delivery: On-time, high-quality deployment of ML/LLM features into production.• Assess current AI/ML assets, data pipelines, and platform maturity; identify quick wins and strategic gaps