AI Deployment Engineer

AI Deployment Engineer

AI & Automation Practice

Stable Rock is hiring an AI Deployment Engineer to help build and scale a new AI & Automation practice focused on deploying production‑grade AI systems for real businesses.

This is not a role where you inherit a mature playbook and simply execute predefined processes. As an early member of the team, you will help shape how the practice operates—including how projects are scoped and delivered, how AI systems are deployed securely, how engineering reviews and documentation are handled, and how repeatable processes are built as the team grows.

We are looking for someone who enjoys building both systems and structure: someone comfortable writing production code, deploying AI into complex client environments, and helping establish the engineering standards, deployment patterns, and operational discipline that future team members will follow.

The systems we build support real operational workflows across finance, accounting, reporting, and back‑office infrastructure. These are production environments where reliability, security, auditability, and thoughtful engineering matter.

• Design and deploy AI‑powered applications, agents, RAG systems, workflow automations, and integrations.
• Build production systems using Python, APIs, databases, and modern LLM tooling.
• Integrate with CRMs, ERPs, accounting systems, internal APIs, and data platforms.
• Deploy solutions into client cloud environments, private infrastructure, and secure production systems.
• Build monitoring, testing, evaluation, and operational support processes for deployed AI systems.
• Implement security‑first engineering practices including IAM, secrets management, audit trails, and least‑privilege access.
• Participate in client discussions, technical reviews, implementation planning, and delivery.
• Create technical documentation, deployment runbooks, and operational procedures.
• Help establish the engineering and delivery standards for a growing AI practice.

• 4+ years of professional software engineering experience.
• Strong Python engineering experience.
• Strong SQL and relational database fundamentals.
• Hands‑on experience building with modern LLM systems, including:
  • RAG
  • Vector retrieval
  • Agent workflows
  • Tool/function calling
  • Prompt engineering
• Experience building and maintaining production systems.
• Experience integrating with third‑party APIs and business systems.
• Strong communication skills with both technical and non‑technical stakeholders.
• Security‑minded engineering approach and strong ownership mentality.

• Type Script
• AWS, Azure, and/or GCP infrastructure.
• AI deployments in regulated or security‑sensitive environments.
• Evaluation frameworks, regression testing, monitoring, and model performance tracking.
• Experience working with accounting, financial, or operational systems.
• Client‑facing consulting or implementation experience.

• Help build a new AI & Automation practice from the ground up.
• Work on real‑world AI systems used inside operating businesses.
• High ownership and meaningful technical influence from day one.
• Exposure to AI engineering, infrastructure, finance, operations, and client delivery.
• Opportunity to help define engineering standards, deployment models, and scalable delivery processes.

Stable Rock is a next‑generation outsourcing and business infrastructure platform serving more than 400 U.S. and international enterprises. With roots dating back to 1975, Stable Rock provides accounting, financial advisory, HR, technology, tax, insurance, operational infrastructure, and back‑office support services to growing businesses. The AI & Automation practice builds production‑grade systems that help clients automate workflows, integrate systems, improve reporting, and operationalize AI safely inside real business environments.

We are open to exceptional talent nationwide, with a strong preference for candidates located in or near our core markets:
New York, Dallas, Miami, Chicago, San Francisco, and Los Angeles. We offer hybrid work flexibility to support professional and personal balance.

Highly competitive base salary ranging…