Enterprise AI Deployment
Data & Enterprise Integration Engineer, AI Systems
Connect AI applications to the trusted data, APIs, permissions and enterprise systems they need to operate safely in production.
About this path
This role builds pipelines, connectors, schemas, APIs, identity controls and observability. It is an integration and data-engineering role first, with applied AI context.
You will build the data pipelines, connectors and identity controls that let AI applications operate safely against real enterprise systems. This is fundamentally a data and integration engineering role, with applied AI as the context rather than the core skill. It suits engineers who take permissions, schemas and observability seriously.
What you would own
- Data pipeline design and implementation for AI application needs
- API connectors and integrations with enterprise systems
- Schema design and data-quality controls
- Identity and permissions controls for secure data access
- Observability and monitoring for data flows feeding AI systems
- Documentation of integration architecture for other engineers
You are likely a strong match if
- You have built data pipelines or integrations in a production environment
- You understand identity, permissions and access control patterns
- You care about schema design and data quality
- You can build observability into data flows, not just the application layer
- You have some familiarity with how AI applications consume data
- You document integration architecture clearly
Helpful, not required
- Experience with ETL or data-pipeline tools
- Experience with enterprise identity systems such as SSO or SCIM
- Familiarity with vector databases or retrieval-augmented generation
- Experience with cloud data platforms
What success looks like
- AI applications reliably access accurate, permissioned data
- Data pipelines are observable and failures are caught quickly
- Integration architecture is documented well enough to hand off
- Security and access controls hold up under review
Practical proof that helps
- A description of a data pipeline or integration you built in production
- Architecture diagrams from past integration work, sanitized as needed
- Examples of how you handled permissions or identity in a data system
What being in the network gives you
- Remote-first work with clients across the United States, Canada and Latin America.
- Human review of your profile, automation organizes information, people decide.
- One profile considered across current and future opportunities.
- Referral rewards when someone you refer directly is successfully placed.
- Full control over availability, matching and your data at any time.
One profile, many opportunities
Applying here creates a single reusable profile. If this path is not the right fit, you remain eligible for other suitable opportunities across the network.
Apply and join the network
Free to join • Start in about 60 seconds • One profile for multiple opportunities • No advanced AI experience required for many roles
Joining the network does not guarantee immediate work or placement. Opportunities depend on professional fit, location, availability and client demand.