Principal Engineer, AI Systems
About the position
As a Principal Engineer, AI Systems, you will serve as the organization’s senior expert in the implementation, integration, and operational enablement of Artificial Intelligence systems. You will guide the deployment and support of OpenAI ChatGPT, Anthropic Claude, internally developed AI-enabled solutions, and other large language model (LLM) technologies across the enterprise. This role blends strategy and execution and you will work cross-functionally with engineering, operations, security, and business teams to identify AI-driven efficiency opportunities, implement solutions, and establish governance practices that ensure safe, compliant, and ethical use of AI. You will operate as a hybrid product manager, systems engineer, DevOps engineer, and enterprise AI advisor, shaping the organization’s approach to intelligent automation and advanced tooling.
Responsibilities
Lead organization-wide AI adoption and enablement initiatives; identify opportunities to leverage AI tools to improve efficiency, accuracy, and productivity across business units. Architect, configure, and prototype solutions using LLMs, APIs, and orchestration tools; develop proof-of-concepts for department-specific AI use cases. Integrate AI capabilities into existing applications, workflows, and cloud environments (e.g., Azure, AWS) and manage connections between enterprise systems and AI platforms through APIs or automation layers. Oversee configuration and operational support of platforms such as OpenAI, Anthropic, Zapier, and Make. Ensure AI implementations adhere to internal policies and external standards (including HIPAA, ISO 27001/27002) and implement responsible AI and risk-management practices (including NIST AI RMF 1.0 and EU AI Act). Partner with department heads and technical teams to evaluate requirements, recommend AI-enabled tools, and support implementation. Provide internal guidance, training, and documentation on AI tool usage, safety, and best practices. Establish metrics to evaluate AI-driven efficiency gains, user adoption, and business impact. Continuously research, evaluate, and recommend new AI tools, frameworks, and integration strategies.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience). Certifications in cloud platforms (AWS, Azure), AI/ML, or information security. 10+ years of hands-on experience in software engineering, systems integration, or DevOps and 3+ years of experience implementing and managing AI or automation tools in enterprise environments. Deep understanding of AI deployment frameworks and experience integrating AI systems with enterprise applications, APIs, and data infrastructure. Strong Python and scripting skills for automation and AI orchestration. Proven ability to translate business problems into AI-enabled technical solutions. Familiarity with HIPAA, ISO 27001/27002, secure software development practices, and working knowledge of NIST AI RMF 1.0 and EU AI Act risk categorization principles. Demonstrated ability to work cross-functionally and communicate technical solutions to non-technical audiences and experience leading AI governance, security, or compliance initiatives in regulated industries. Experience with MLOps, data pipelines, or enterprise automation platforms such as Zapier and Make. Prior experience developing or managing chatbot workflows, prompt engineering, or AI knowledge bases.
Nice-to-haves
Experience with productivity-enhancing tools and enterprise AI integrations such as Microsoft Copilot, Slack AI, Salesforce AI, familiarity with vendor and tool evaluation for AI platforms, and prior experience with internal AI-enabled solutions and enterprise orchestration tools.