AI Process Forward Deployed Engineer

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

This role involves deploying, optimizing, and scaling intelligent workflows that combine AI agents, business processes, and human collaboration. The ideal candidate will have experience delivering production systems and communicating across technical and business audiences. Strong engineering skills and the ability to debug integrations are required.

Key Highlights

Deploy and optimize AI-powered process automation solutions

Work directly with customers to understand their needs and implement solutions

Collaborate with engineering, architecture, and business teams to drive successful adoption

Key Responsibilities

Lead end-to-end deployments of AI-powered workflows

Configure, implement, and optimize enterprise workflow environments

Debug complex integrations and build custom agents as needed

Collaborate with stakeholders to drive successful adoption of AI-powered workflows

Create documentation, deployment playbooks, and best practices

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Technical Skills Required

Java React AI technologies

Benefits & Perks

Competitive compensation package

Equity opportunity

Fully remote work environment

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Nice to Have

Experience in customer-facing engineering, consulting, or professional services

Familiarity with regulated industries such as financial services, healthcare, or insurance

Experience with agentic systems, AI-integrated workflows, or open-source/platform contributions

Job Description

This role offers the opportunity to help bring next-generation AI-powered process automation solutions into enterprise environments.You will work directly with customers to deploy, optimize, and scale intelligent workflows that combine AI agents, business processes, and human collaboration.The position blends software engineering, customer-facing problem solving, and product innovation.You will influence the evolution of a new AI product by turning real-world challenges into scalable solutions.Working across engineering, architecture, and business teams, you will help organizations move AI initiatives from experimentation into production.

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