Alloy

Applied AI Engineer, Ops

$150K–$180KFull-time · New York City
✓ Verified live on the employer's own system · added 86 days ago
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Skills & tools

Machine LearningPythonCommunicationsOperations
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Full job description

Alloy is looking for an Applied AI Engineer to sit within our centralized Ops team and drive meaningful AI transformation across the entire business. This is a high-impact, cross-functional role for someone who loves finding inefficiencies, designing elegant solutions, and enabling people to work smarter.

You'll be the connective tissue between cutting-edge AI capabilities and the practical, day-to-day needs of our teams - identifying where automation and AI can reduce toil, accelerate workflows, and unlock capacity for higher-value work.

- Identify high-impact automation and AI opportunities across the business, prioritized against strategic goals

- Design, build, and deploy AI-powered solutions - from lightweight automations to more sophisticated LLM-based workflows

- Partner with teams across Alloy to understand their pain points and translate them into scalable technical solutions

- Champion and enable AI adoption across the organization - running enablement sessions, building internal tooling, and helping teams become more self-sufficient

- Establish best practices, tooling standards, and frameworks for how Alloy builds and evaluates AI solutions

- Operate the internal stack like a product, running experiments, creating feedback loops, and continuously improving productivity across the whole organization.

- Measure the impact of what you ship and continuously iterate

- Hands-on experience building with LLMs and AI APIs (e.g. OpenAI, Anthropic, etc.) in production environments

- Strong engineering fundamentals - comfortable writing clean, maintainable code in Python or similar

- Experience with workflow automation tools (e.g. Zapier, Make, n8n, or custom-built pipelines)

- A business-minded approach: you think about ROI and impact, not just technical elegance

- Excellent communication skills - you can explain complex AI concepts to non-technical stakeholders and bring people along on the journey

- Experience in an ops, revenue operations, or business systems role

You'll have a rare combination of autonomy and breadth - working across every team at Alloy, with a direct line to business impact. This isn't a role where you'll be handed a backlog. You'll define the roadmap, build the solutions, and see the results.

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This posting was published by Alloy on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.