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Senior Software Engineer II (AI Enablement)

Join Aledade's AI Enablement team to build and run the platform critical for AI adoption across the company.

Location
Remote, United States
Compensation
Not disclosed
Level
senior
Type
Remote

Posted by employer 3 days ago

First seen on Joblaze 2 days ago

Last verified on the company career page 6 hours ago

Apply at Aledade → Save job Scanned from aledade.com

Skills & Technologies

What you'll build

  • Build the MCP Gateway
  • Manage the plugin marketplace and installer
  • Configure the model gateway
  • Implement telemetry for measurement

AI in the day-to-day

The AI Enablement team builds and runs the platform that the rest of Aledade's AI adoption depends on.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

In this role, the Senior Software Engineer II on the AI Enablement team at Aledade is responsible for developing and maintaining the core platform that supports the company's AI initiatives. Key skills include expertise in model routing, telemetry, and system integration, with a focus on optimizing inference strategies. This position is ideal for experienced engineers who prefer hands-on platform work that directly impacts business outcomes. The role emphasizes measurable results and user engagement, making it suitable for those who thrive in a data-driven environment.

Joblaze insights

  • Listed 2 days ago — first seen on Joblaze September 23, 2026. Last confirmed on Aledade's careers page September 25, 2026.
  • AI/ML appears in 45.9% of 545 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Software Engineer II (AI Enablement) role remote?
Yes — Aledade lists this as a fully remote position.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Aledade targets senior candidates for this position.

From the original posting

Aledade's AI Enablement team builds and runs the platform that the rest of Aledade's AI adoption depends on. The AI Enablement Platform Engineer is the engineer accountable for the substrate: the MCP Gateway that brokers every tool call between agents and Aledade's systems, the plugin marketplace and installer that distribute agentic capability to engineers and non-engineers alike, the model gateway configuration that determines what Aledade spends on inference and how well it performs, and the telemetry that makes all of it measurable.  This is a platform role with unusually direct business consequences. The model-routing and harness-evaluation work this engineer owns is what distinguishes a diversified, cost-optimized inference strategy from a single-vendor one. It is the right role for an engineer who wants platform depth without platform abstraction: real users, real spend, measurable adoption, and a short line between a design decision and its effect.

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