AI Engineer
BWE
full-time
Posted on:
Location Type: Hybrid
Location: Columbus • Ohio • United States
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About the role
- Develop and deploy AI applications and integrations using Azure AI services, LLM APIs, Microsoft Power Platform, and third-party AI tools that enhance business productivity.
- Fine-tune and customize AI models to improve accuracy, relevance, and performance for specific business use cases across origination, closing, and servicing workflows.
- Monitor and optimize performance of AI systems, ensuring quality, responsiveness, and cost efficiency in production environments.
- Collaborate with AI Solutions Architect, Business Partners, and end users to understand workflows and deliver usable, intuitive AI-powered tools.
- Contribute to AI governance frameworks, documentation, and continuous learning around responsible AI use and best practices.
- Support citizen developers by creating AI components, templates, and integrations that enable business users to build AI-enhanced solutions.
- Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services.
- Participate in rapid prototyping and proof-of-concept development to validate AI use cases and technical feasibility.
- Implement security and compliance controls for AI applications ensuring adherence to financial services regulations and data privacy requirements.
- Research and experiment with emerging AI technologies and techniques to enhance BWE's AI capabilities and competitive advantage.
- Maintain and update AI application code, deployment pipelines, and integration frameworks as technologies evolve.
- Provide technical support and troubleshooting for deployed AI solutions across business functions.
Requirements
- 3–5 years of experience in AI/ML engineering, automation, software development, or related technical roles.
- Proficiency with Python and experience working with APIs, Large Language Models (LLMs), and cloud-based AI services.
- Strong familiarity with Microsoft ecosystem including Azure AI, Power Automate, Power Apps, and Copilot platforms.
- Experience with AI model deployment, monitoring, and optimization in production environments.
- Knowledge of software development best practices including version control, testing, and deployment automation.
- Understanding of data processing, ETL workflows, and integration with enterprise systems.
- Bachelor's degree in Computer Science , Engineering, Data Science, or related technical field.
Benefits
- Flexible work arrangements
- Professional development
- Growth opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI applications developmentAI model fine-tuningPythonAPIsLarge Language Models (LLMs)cloud-based AI servicesAI model deploymentmonitoring and optimizationdata processingETL workflows
Soft Skills
collaborationcommunicationproblem-solvingtechnical supporttroubleshootingcontinuous learningresponsible AI usecreativityadaptabilityuser-centric design
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science