Enterprise AI Integration Engineer
Hands-on engineer embedding with large industrial enterprise customers to deploy AI systems into production — building integrations via APIs, webhooks, and ETL with platforms like SAP and ServiceNow, and developing agentic AI/RAG solutions. Fully on-site in the SF Bay Area with ~25% domestic travel.
- Compensation
- Not disclosed
- Location
- California, California, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Approximately 1-5 years of hands-on software engineering, implementation engineering, solutions engineering, or forward-deployed engineering experience
- Demonstrated ability to personally write and ship production code
- Experience integrating software with complex customer systems
- Hands-on experience with modern AI applications, agentic systems, and/or RAG solutions
- Strong customer-facing communication skills combined with technical depth
- Willingness to travel domestically approximately 25% of the time
- Must be able to work in the United States
Nice to have
- Experience with SAP, ServiceNow, and related enterprise platforms
Full description
SF Bay Area, California | Fully On-site | Approximately 25% Domestic Travel
We are seeking a technical Enterprise AI Integration Engineer to bring advanced AI systems into production environments for large industrial enterprise customers.
The Opportunity
This is a hands-on software engineering role combining customer-facing deployment work with direct ownership of integrations, data flows, and AI-enabled workflows.
Key Responsibilities
- Embed with enterprise customers to deploy AI-powered systems into live operational environments.
- Build and maintain integrations using APIs, webhooks, ETL processes, and enterprise data systems.
- Integrate with ERP, CMMS, ticketing, knowledge-management, and enterprise service platforms.
- Work with systems such as SAP, ServiceNow, and related enterprise platforms where required by the customer environment.
- Build agentic AI and/or retrieval-augmented generation capabilities as part of customer solutions.
- Translate ambiguous operational requirements into shipped technical solutions.
- Partner directly with customer engineering and operational teams.
Required Qualifications
- Approximately 1 to 5 years of hands-on software engineering, implementation engineering, solutions engineering, or forward-deployed engineering experience.
- Demonstrated ability to personally write and ship production code.
- Experience integrating software with complex customer systems.
- Hands-on experience with modern AI applications, agentic systems, and/or RAG solutions.
- Strong customer-facing communication skills combined with technical depth.
- Willingness to travel domestically approximately 25% of the time.
Candidate Profile
This opportunity is best suited to engineers who enjoy operating between product development and customer deployment. Pure pre-sales, non-coding consulting, or platform-configuration-only backgrounds are not aligned with the role.
Work Arrangement
Fully in person in the San Francisco Bay Area, with domestic customer travel as required.
Work Authorization
Candidates must be able to work in the United States. Certain sponsorship and visa-transfer scenarios may be considered for candidates already located in the United States.