Senior Forward Deployed AI Engineer

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

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

You join as a Full time employee of Automated Industries. Client engagements are three months long, with the opportunity to convert to a Full time role with the client if it’s a mutual fit., * $160,000 - $200,000 annualized salary, commensurate with experience

• Role is for an initial 3-month engagement at dedicated client. There is an opportunity to convert to Full time employment with the client if it’s a mutual fit, or to continue with us leading the next engagement
• Full-time; on-site at the client in New York City Tuesday through Thursday