Industrial AI Deployment Engineer – Enterprise Integrations

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in the SF Bay Area is seeking an Industrial AI Deployment Engineer – Enterprise Integrations to deploy AI-powered systems into live industrial environments. This hands-on role blends software deployment with deep integrations across ERP, CMMS, ticketing, and data platforms.

You'll collaborate with customer engineering and operations teams, write production code, and travel about 25% domestically to support enterprise deployments.

Qualifications

• Approximately 1–5 years in software/implementation roles.
• Able to write and ship production code.
• Experience integrating software with complex customer systems.
• Hands-on with modern AI apps, agentic systems, or RAG.
• Strong customer-facing communication and technical depth.
• Willingness to travel domestically ~25% of the time.

Responsibilities

• Embed with enterprise customers to deploy AI-powered systems in live environments.
• Build and maintain integrations using APIs, webhooks, ETL, and enterprise data systems.
• Integrate with ERP, CMMS, ticketing, knowledge-management, and enterprise service platforms.
• Work with SAP, ServiceNow and related platforms as required by the customer environment.
• Build agentic AI and/or retrieval-augmented generation capabilities as part of solutions.
• Translate ambiguous operational requirements into shipped technical solutions.
• Partner with customer engineering and operations teams.

Skills

Hands-on software engineering

Production code delivery

Systems integration

AI applications / RAG

Customer-facing communication

Travel willingness

Tools

SAP

ServiceNow

ERP systems

ETL processes

APIs & webhooks

Job description

SF Bay Area, California | Fully On-site | Approximately 25% Domestic Travel

We are seeking a technical Industrial AI Deployment Engineer – Enterprise Integrations 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.