Enterprise AI Integration Engineer

MaxIT Consulting

$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1 to 5 years of software engineering experience in deployment or solutions engineering.
  • Proficient in writing and shipping production-ready code.
  • Experience with integrating software into complex customer environments.
  • Hands-on knowledge of modern AI applications and agentic systems.
  • Strong communication skills for customer interaction with technical understanding.
  • Willingness to travel domestically about 25% of the time.

Responsibilities

  • Engage with enterprise customers to implement AI systems in active operational setups.
  • Develop and maintain API integrations and data flow processes.
  • Integrate with ERP, CMMS, ticketing, and knowledge management systems.
  • Work with enterprise platforms like SAP and ServiceNow as needed.
  • Create agentic AI and retrieval-augmented generation functionalities in customer solutions.
  • Convert ambiguous operational needs into viable technical solutions.
  • Collaborate closely with customer engineering and operations teams.

Benefits

  • Opportunity to work hands-on with cutting-edge AI technologies.
  • Direct impact on customer success through integration of advanced systems.
  • Engagement with enterprise-level clients across various industries.
  • Diverse experiences through approximately 25% travel to customer sites.
Full Job Description
Acerca del puesto Enterprise AI Integration Engineer

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.

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