AI Outcomes Engineer – Remote (US/Canada) | Visa + Salary Insights

📍 Location: ca

🏷 Type: Not specified

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Job Overview

This role is a Senior-Level AI Outcomes Engineer position focused on building real-world AI systems that directly improve business performance. Granum is seeking a builder who can transform operational bottlenecks into AI-driven automations, agents, and workflow systems that scale across departments. The ideal candidate has strong experience in AI integrations, API-based systems, and production automation. You will work across GTM, CS, and operations teams to identify inefficiencies and design measurable AI solutions that deliver ROI, not just prototypes.

🌍 Work Eligibility & Location

This is a fully Remote opportunity designed for North American-based professionals only. Candidates must already have valid work authorization, as visa sponsorship is not provided. The role is optimized for distributed collaboration across engineering, product, and operations teams.

💰 Salary Intelligence

The compensation sits in a strong $100K–$140K range, aligning with senior AI automation and applied AI engineering roles in North America. The value is highly competitive for professionals who can demonstrate measurable business impact through deployed AI systems.

📊 Role Breakdown

This role centers on building production-grade AI systems that directly influence operational KPIs. You will design and deploy AI agents, workflow automations, and API-driven integrations across multiple business units. A major part of your work involves translating ambiguous business problems into structured technical solutions that can be measured and iterated. Expect to work with Glean, custom connectors, and cloud infrastructure such as AWS or Azure.

Approximately 40% of your time will be spent on discovery and mapping workflows, while 60% focuses on building, deploying, and iterating AI systems. You will design multi-step agents with guardrails, implement error handling logic, and ensure human-in-the-loop checkpoints where needed. Strong emphasis is placed on data flow architecture, system reliability, and measurable ROI outcomes.

You will also collaborate with Data Insights teams to validate performance, monitor adoption metrics, and continuously improve automation efficiency across departments. This is not a prompt-only role; it requires deep technical execution across systems and real-world production environments.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly competitive Senior-Level role requiring proven experience in deployed AI systems. Candidates without production-level automation or integration experience will struggle to match expectations.

🚀 Career Impact

This role offers strong long-term positioning in enterprise AI systems and automation engineering. You will build skills directly transferable to AI architecture, platform engineering, and senior applied AI leadership roles.

📋 Key Responsibilities

You will design and deploy AI-powered workflows that reduce manual operational effort across departments. This includes building agents that integrate with internal systems via APIs, webhooks, and structured data pipelines. You will also create standalone automation solutions when existing platforms are insufficient.

A key responsibility is running structured pilots, iterating on real-world feedback, and validating impact with measurable metrics such as time saved and process efficiency gains. You will also configure and maintain Glean connectors and ensure secure, permission-aware access to data sources.

Additionally, you will monitor system performance, improve reliability, and ensure adoption across teams through training, documentation, and live demonstrations. Your work directly influences operational scalability and business efficiency.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This is a high-demand AI engineering role with strong competition from senior automation engineers and AI builders. Early applicants with proven production experience in AI workflows and enterprise integrations will have a clear advantage. Strong signals include measurable ROI from automation and experience deploying multi-system AI agents.

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✅ Job Source & Verification

This job post is based on an official Granum AI Outcomes Engineer listing. Source credibility: High (direct employer posting). Last updated: May 2026. All compensation, responsibilities, and requirements reflect verified employer-provided data and structured role interpretation for AI engineering candidates.