Artificial Intelligence Engineer

Digital & IT Senior Analyst - AI/ML Engineer Mayfield Heights, OH 44124 - Onsite Top 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 meeting Position Summary Our 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 domains Qualifications • 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