Enterprise AI Deployment Engineer – On-Site SF Bay Area

MaxIT Consulting - Max Corporate Group

California

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

MaxIT Consulting - Max Corporate Group is seeking a Forward Deployed Engineer to bring advanced AI systems into production for large industrial customers in the SF Bay Area. This role combines hands-on software engineering with direct customer deployment, ownership of integrations, data flows, and AI-enabled workflows.

You will embed with enterprise teams to deploy AI-powered systems, build ERP/CMMS integrations, and work with SAP, ServiceNow, and related platforms.

Qualifications

  • 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.

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.

Skills

Software Engineer
Forward Deployed
AI/ML
System Integration
Customer-facing
APIs
ETL
RAG
Travel

Tools

SAP
ServiceNow
ERP
Webhooks

Job description

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

We are seeking a technical Forward Deployed 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.

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