AI Outcomes Architect (Remote/Hybrid)

bostoncyberx; Boston, Northern (MA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

bostoncyberx is seeking an AI Business Engineer in Boston with hybrid or US-wide remote options. The role blends consulting, opportunity identification, and hands-on AI system building.

You’ll map client use cases to measurable outcomes, then prototype workflows that deliver them, speaking both P&L and Python in client meetings. The position emphasizes executive-level discovery, rapid prototyping, and end-to-end ownership of outcomes, with accountability for the numbers and the impact across

Qualifications

• 5+ years across consulting, solutions engineering, product, or operations with client exposure.
• Hands-on fluency with LLM platforms, agent frameworks, and at least one general-purpose language.
• The ability to run a working session with CxO and business leaders and a build session with an engineer in the same day.
• Writing that executives actually read: crisp, quantified, jargon-free.
• Comfort with ambiguity, fixed scopes, and being personally accountable for a number.

Responsibilities

• Lead discovery with client executives: find use cases that pay, frame as outcomes with owners and dates.
• Design and build agentic workflows, copilots, and automation on modern AI platforms.
• Run rapid pilots through our FORGE framework and carry them to production with governance built in.
• Quantify results against the client's baseline and present them to boards in plain English.
• Feed what you learn back into the firm's playbooks, accelerators, and the AI Assessment.

Skills

LLM platforms

Agent frameworks

Python

Executive comms

Client discovery

Tools

FORGE framework

Job description

bostoncyberx is seeking an AI Business Engineer in Boston with hybrid or US-wide remote options. The role blends consulting, opportunity identification, and hands-on AI system building.

You’ll map client use cases to measurable outcomes, then prototype workflows that deliver them, speaking both P&L and Python in client meetings. The position emphasizes executive-level discovery, rapid prototyping, and end-to-end ownership of outcomes, with accountability for the numbers and the impact across