AI / Agent Engineer || Architect

Job Summary

As an Agentic AI Engineer, you’ll build and deploy AI systems that can plan tasks, use tools, and respond to changing information. You’ll turn data and research into reliable applications, partnering across teams to move solutions from experimentation into production. Your work will connect machine learning, analytics, and scalable data systems to practical user needs.

Responsibilities

• Design, implement, and evaluate AI models and agent workflows, including generative AI and natural language processing (NLP).
• Prepare data through extraction, transformation, and loading (ETL); data mining; and database design for SQL databases and linked data.
• Develop model training, unsupervised learning, predictive modeling, and statistical modeling workflows; assess results through statistical analysis for research and other applications.
• Deploy and monitor solutions using machine learning cloud services and big data systems, improving scalability and supporting ongoing AI implementation.
• Your impact: By delivering dependable AI tools, you’ll help users complete complex tasks with clearer, more useful results.

Requirements

• Experience with machine learning, AI, model evaluation, and machine learning frameworks such as TensorFlow; proficiency in Python and SQL is essential.
• Familiarity with AWS, Java, C, R, SAS, VBA, and Bash (Unix shell); experience with Spark implementation, Hadoop, Talend, and data analytics tools such as Looker is useful.
• Knowledge of statistical analysis tools, analytics, big data, and machine learning/AI-based analysis; ability to select methods suited to the problem.
• Quantum engineering experience is a plus; it is not required.

Pay: $150,000.00 - $160,000.00 per year

Work Location: Hybrid remote in Buffalo, NY 14207