$150,000–$200,000 Per Year
Accounting, Accounting Software, Administrative Skills, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Auditing, Automation, Business Growth, Business Solutions, Communication Skills, Consulting, Customer Relations, Customer Relationship Management (CRM) Systems, Customer Support/Service, Documentation, Engineering, Finance, Financial Operations, Financial Reporting, GCP (Good Clinical Practices), Insurance, Machine Tool, Microsoft Windows Azure, Operational Audit, Operational Improvement, Operational Support, Operations Processes, Performance Analysis, Performance Modeling, Private Cloud, Production Systems, Python Programming/Scripting Language, Regression Testing, Relational Databases (RDBMS), Rock Mechanics, SQL Databases, Software Engineering, Standards Development, System Integration (SI), Systems Maintenance, Team Lead/Manager, Technical Writing, Testing
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.
What You'll Do:
- 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.
What We're Looking For:
- 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
Preferred Experience:
- TypeScript
- 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
Why This Role:
- 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.
About Stable Rock
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.
Location
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.
Compensation
Highly competitive base salary ranging from $150,000 to $200,000, based on experience and location,
with eligibility for a discretionary performance bonus.
Benefits:
- Medical, Dental, and Vision insurance coverage. Employee-only premiums are paid at 100%.
- Health Savings Account (HSA) and Flexible Spending Account (FSA) options
- 401(k) retirement savings plan
- Unlimited paid time off policy
Inclusion: Stable Rock is an equal opportunity employer and we value diversity at our firm. We do not
discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital
status, veteran status, or disability status. We encourage candidates from all backgrounds to apply and
are committed to building a team that reflects many different perspectives and experiences.
Applicants in need of special assistance or accommodation during the interview process or in accessing
our website may contact us. We will treat your request as confidentially as possible. In your email, please
include your name and preferred method of contact, and we will respond as soon as possible.
Application Process: Submit a resume, cover letter, and professional references to
careers@stablerock.com.
Job Posted by ApplicantPro