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Better. Sooner. Together.
Principal Engineer, AI Systems
Location
United States
Posted
171 days ago
Salary
0
Seniority
Lead
Job Description
Principal Engineer, AI Systems
OneStudyTeam
• AI Enablement and Strategy: Lead organization-wide AI adoption and enablement initiatives. Identify opportunities to leverage AI tools to improve efficiency, accuracy, and productivity across business units. • Solution Design and Prototyping: Architect, configure, and prototype solutions using LLMs, APIs, and orchestration tools. Develop proof-of-concepts for department-specific AI use cases. • Systems Integration: Integrate AI capabilities into existing applications, workflows, and cloud environments (e.g., Azure, AWS). Manage connections between enterprise systems and AI platforms through APIs or automation layers. • AI Platform Management: Oversee configuration and operational support of platforms such as OpenAI, Anthropic, Zapier, and Make. • Security and Compliance Oversight: Ensure AI implementations adhere to internal policies and external standards, including HIPAA, ISO 27001/27002, and internal data governance frameworks. • Responsible AI and Risk Management: Implement and promote compliance with frameworks such as NIST AI RMF 1.0 and the EU AI Act. Conduct AI risk assessments and recommend mitigation controls. • Cross-Functional Collaboration: Partner with department heads and technical teams to evaluate requirements, recommend AI-enabled tools, and support implementation. • Education and Advocacy: Serve as a trusted AI advisor to business and technical leaders. Provide internal guidance, training, and documentation on AI tool usage, safety, and best practices. • Performance Monitoring: Establish metrics to evaluate AI-driven efficiency gains, user adoption, and business impact. • Vendor and Tool Evaluation: Continuously research, evaluate, and recommend new AI tools, frameworks, and integration strategies aligned with enterprise goals.
Job 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
- 3+ years of experience implementing and managing AI or automation tools in enterprise environments
- Deep understanding of AI deployment frameworks
- 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, and secure software development practices
- 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
- 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
- Familiarity with productivity-enhancing tools such as Microsoft Copilot, Slack AI, Salesforce AI, or similar enterprise AI integrations
Benefits
- We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.
- OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization.
- As a condition of employment, you will abide by all organizational security and privacy policies.
- This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).
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