Applied AI Engineer, Ops

Alloy

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $150,000–$180,000 / yr
Posted: 33 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $165k

$139k most similar roles pay here $257k

This role pays less than 73% of similar roles. Most pay $162,000–$245,617 — the shaded band above. At the midpoint, this role pays about $165k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Alloy

Alloy is an identity decisioning platform that provides fraud prevention, compliance, and credit underwriting solutions for banks, credit unions, and fintechs to automate identity verification decisions. Industry: Financial Technology & Identity Verification

Alloy currently has 8 open roles on FindRole.

Listed pay typically runs $152,500–$180,000 across 8 roles with salary data.

Most-posted roles

View all roles at Alloy

At a glance

TL;DR · Applied AI Engineer, Ops

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As an Applied AI Engineer at Alloy’s centralized Ops team, you will drive significant AI transformation by identifying high-impact automation opportunities aligned with strategic goals. Your day-to-day involves designing and deploying AI solutions ranging from lightweight automations to advanced LLM-based workflows, while partnering with various teams to address their pain points through scalable technical solutions. You’ll champion AI adoption by running enablement sessions and building internal tooling, establish best practices for AI development, and continuously measure and iterate on the impact of your work. Ideal candidates have hands-on experience with LLMs in production environments, strong engineering fundamentals in Python or similar languages, and expertise in workflow automation tools. Additionally, excellent communication skills and a business-minded approach are crucial to translating complex AI concepts to non-technical stakeholders effectively.

Skills

Python LLMs AI APIs OpenAI Anthropic Workflow automation tools Zapier Make n8n SQL dbt

What you'll do

Identify high-impact AI opportunities aligned with business strategic goals.
Design and deploy AI solutions ranging from automations to LLM-based workflows.
Translate team pain points into scalable technical solutions across Alloy.
Champion AI adoption by running enablement sessions and building internal tooling.
Establish best practices for evaluating and building AI solutions at Alloy.

What we're looking for

Hands-on experience building AI solutions with LLMs and AI APIs in production.
Strong engineering skills with proficiency in Python or similar languages.
Experience designing and deploying workflow automation tools and custom pipelines.
Ability to translate business pain points into scalable technical solutions.
Excellent communication for explaining complex AI concepts to non-technical stakeholders.
Business-minded approach focusing on ROI and impact, not just technical elegance.

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