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# Senior Forward Deployed AI Engineer

- **Company:** Automate Industries, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Continuous Integration, Software Debugging, Python (Programming Language), Open Source Technology, Systems Development Life Cycle, Release Management, Reliability Engineering, Software Engineering, Google Cloud, Large Language Models, AI Platforms, Kubernetes, Machine Learning Operations, Terraform, Docker
- **Published:** July 13, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-97BC7687331A015763/

## About the Role

You should be AI-native and experienced in the software development life cycle ("SDLC"). You read, write, and debug real code at depth; when a production system breaks, you are the person who opens it up and fixes it. You verify rather than trust: you probe where a model or system actually fails, prototype before committing an architecture, and check output against ground truth in production., * 5-10 years of full-stack engineering experience with production systems you own end to end

 * Python; deep experience with AWS and/or Google Cloud Platform. Amazon Bedrock experience is a plus
 * Real depth in CI/CD, the SDLC, and site reliability engineering ("SRE") - you have carried a pager and fixed what woke you up
 * Shipped LLM or AI application work: model deployment, context architectures, agents, or evals running in production
 * Code fluency deep enough to debug unfamiliar systems down to the root cause and fix them properly
 * Technical leadership: you raise a team's bar through code review, architecture guidance, and example
 * Clear communicator: you can defend a technical decision to engineering leadership and teach a workflow to a junior

## Description

We are a consulting firm that embeds AI talent directly into client organizations to rebuild how work gets done., * Serve as technical lead of the Embedded team: own architecture, delivery, and operational quality across the engagement

 * Design, build, test, deploy, and operate production-grade applications and the scalable infrastructure behind the client's internal and external AI products
 * Own the deployment story: CI/CD pipelines, release management, and the full software development lifecycle
 * Set the reliability bar: instrumentation, monitoring, observability, and incident response for the systems your team ships
 * Architect AI systems in production: context management, model deployment, and agentic tooling integrated into the client's real infrastructure
 * Extend and support the client's existing AI platform work - build on what exists rather than greenfielding
 * Mentor the junior Forward Deployed Engineers staffed alongside you; review their code and grow their production judgment
 * Work directly with the client's engineering leadership to translate priorities into shipped, operating systems
 * Use Claude Code and AI-assisted development daily, while understanding every line your team ships, * Amazon Bedrock, agentic frameworks, or AI platform/instrumentation work you have shipped to production
 * Infrastructure tooling depth: Terraform, Docker, Kubernetes, observability stacks
 * Prior forward-deployed, consulting, or client-embedded delivery experience
 * Open-source work or a public trail of things you've built


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