Remote AI Process Engineer - Enterprise Deployments

engineeringjobs.net, Inc.

Town of Montana (WI)

Remote

USD 120,000 - 180,000

Full time

3 days ago

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Benefits offered by this job

Fully remote

Home office budget

Flexible time off

Equity via stock options

Healthcare benefits

Learning budget

Job summary

engineeringjobs.net, Inc. is seeking an AI Process Forward Deployed Engineer for the United States. You will own customer deployments from initial workflow setup through measurable improvements and handoff, blending software engineering with AI agents and workflow orchestration.

You will work across Java services and React interfaces, configure platforms, debug integrations, and develop custom solutions. This fully remote role offers autonomy in a global, collaborative environment.

Qualifications

Proven experience delivering and operating software in enterprise production environments with governance, resilience, reliability, and scale.
Strong software engineering capabilities: debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems.
Experience with Java-based services and React interfaces.
Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs.
Ability to understand and explain generated BPMN workflows and technical concepts to engineering teams and business stakeholders.
Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences.
Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices.
Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus.
Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous.
Production experience with agentic systems or AI-integrated workflows is a plus.
Contributions to shared platforms or open-source projects are valued.
Willingness to travel occasionally.

Responsibilities

Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results.
Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period.
Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments.
Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks.
Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements.
Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities.
Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations.
Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff.
Contribute engineering insights from customer deployments directly back into product development and platform evolution.
Travel occasionally when required to support customer or team engagements.