Corporate AI Engineer
About this role
The Enterprise Architecture team builds and integrates AI-enabled solutions across enterprise platforms to drive measurable business value. Operating as a core delivery group, the team collaborates closely with IT, Security, Data, and Business departments to move initiatives from initial concepts through pilots into production capabilities.
Corporate AI Engineers design, build, and deploy these workflows, handling everything from prompt engineering and orchestration logic to retrieval augmented generation patterns. Professionals who enjoy hands-on delivery, technical execution, and cross-functional problem-solving within enterprise environments will find a strong operational fit here.
What you will do
- Design, build, and deploy AI-enabled solutions aligned to prioritized business use cases.
- Implement AI workflows, integrations, and automations across enterprise platforms like Microsoft 365, Salesforce, and ServiceNow.
- Translate architectural designs into working solutions using prompt engineering, orchestration logic, and retrieval augmented generation patterns.
- Integrate AI applications with enterprise data sources and systems of record while maintaining data quality, accuracy, and appropriate access.
- Manage the operational readiness of deployed solutions through monitoring, logging, performance tuning, and ongoing optimization.
- Partner with Security, Privacy, and IT groups to ensure compliance with enterprise governance, risk, and compliance requirements.
- Develop and maintain technical documentation, runbooks, and reusable implementation patterns.
What you need
- Bring four or more years of experience in software engineering, platform engineering, data engineering, application management, or a similar hands-on technical role.
- Demonstrate practical background in building, integrating, or operating production systems in an enterprise environment.
- Possess hands-on experience implementing generative AI concepts such as prompt engineering, embeddings, or retrieval augmented generation using technology from OpenAI, Anthropic, ServiceNow, or Microsoft.
- Show working experience with APIs, integrations, Model Context Protocols, and enterprise software-as-a-service platforms.
- Maintain working knowledge of AI-related risks including data security, privacy, model limitations, and cost considerations.
Benefits
- Medical, dental, and vision plan
- Family planning benefits and health savings account
- 401(k) retirement savings plan with company match
- Life, accident, and disability coverage
- Employee assistance programs and well-being benefits
- 5 days set aside as volunteer time off
Skills and tech stack
Questions candidates ask
What is the remote work or office policy for this position?
This position follows a hybrid schedule which currently requires employees to work in the office at one of the approved locations a minimum of three days per week.
What are the designated office locations for this role?
Employees can work out of offices in Addison, TX; Bellevue, WA; Durham, NC; Emeryville, CA; or Reston, VA.
What is the annual base salary range for this role?
The annual base salary range for this full-time position is $154,000 to $200,000, which may be adjusted based on factors like location, education, skills, training, and experience.
What additional compensation and perks are included?
Team members receive equity awards along with a benefits package consisting of medical, dental, and vision plans, a 401(k) with company match, and five days of volunteer time off.