AI Engineer

You turn possibility into production. As an AI Engineer at BWE, you design, build, and refine the tools that bring artificial intelligence into daily business workflows. From LLM-powered copilots to custom integrations and automation, your work helps scale innovation responsibly and reliably. We count on you to make AI real—usable, efficient, and aligned with how we work.
** Responsibilities:
** Implement security and compliance controls for AI applications ensuring adherence to financial services regulations and data privacy requirements.
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* Minimum Qualifications:

** 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. Ability to balance experimentation and innovation with structured, scalable deployment practices.
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* Preferred Qualifications:

** Experience with multiple AI platforms beyond Microsoft ecosystem (OpenAI, AWS AI, Google Cloud AI). Knowledge of AI model fine-tuning, training, and optimization techniques for enterprise applications.

Familiarity with Dev Ops practices, containerization (Docker, Kubernetes), and CI/CD pipelines for AI applications. Experience in CRE, financial services, or regulated industries with compliance and security requirements.

Knowledge of natural language processing, computer vision, or other specialized AI domains. Experience supporting citizen development initiatives and low-code/no-code platform development.
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