Manager of Automation and AI

Job Description

Job Description

Manager, AI and Automation

RAS LaVrar • On-site • Plantation, Florida

About RAS LaVrar

RAS LaVrar is a rapidly expanding full-service creditors’ rights law firm providing comprehensive collection services in the areas of consumer collection, commercial collections, replevin, and post judgement recoveries across the country. We invest in our people through ongoing training and development, and we maintain a collegial, collaborative environment where new ideas are put to work quickly.

About the Role

As Manager, AI and Automation, you will lead a team of developers and analysts building advanced automation, application, and AI solutions that integrate with our collections platform and scale across the firm. This is a high-visibility role that works closely with the executive team—backed by the resources, executive sponsorship, and decision-making authority to drive meaningful transformation.

You’ll own and execute a 2–3 year automation roadmap—using automation and AI to streamline workflows, improve efficiency, and reduce operational costs—while helping shape the firm’s long-term technology strategy. Success here calls for both strategic vision and hands-on technical execution, ensuring every solution is tied to a clear, measurable business outcome. If you want ownership, autonomy, and the chance to be a first mover in your industry, this is that role.

What You’ll Do

• Lead, mentor, and grow a team of software developers and analysts—including hiring and upskilling—to deliver scalable automation and AI solutions across the firm.
• Own the end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support, and documentation.
• Design, develop, and maintain scalable workflows, custom connectors, applications, and integrations using SQL, Python, JavaScript, PowerShell, React, C#, and Azure (or comparable) technologies.
• Partner with business stakeholders to gather requirements and translate them into practical automation and AI solutions tied to measurable outcomes.
• Develop algorithms and predictive models, and analyze structured and unstructured data to solve complex business challenges.
• Integrate AI/ML models into larger systems, including cloud infrastructure, software applications, and data platforms.
• Build and maintain the data pipelines and queries that power automations, BI dashboards, and reporting.
• Oversee the firm’s library of BI dashboards and reporting—both client-facing and internal—spanning forecast, financial, performance, and portfolio-trend analytics.
• Monitor and optimize automation, intelligent document processing, and AI model performance, manage exceptions, and ensure high availability through logging and dashboards.
• Establish automation best practices, governance, procedures, and reusable components.
• Stay current with advances in GenAI, ML, MLOps, and LLMOps, applying new techniques to strengthen the firm’s technology stack.
• Perform other duties as assigned at the manager’s discretion.

What You’ll Bring (Required)

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field—or equivalent experience on a year-for-year basis.
• 5+ years of hands-on software development experience delivering automation solutions across modern tech stacks and management experience for a development team.
• Strong programming skills in Python and SQL, with working proficiency in JavaScript, React, and C#.
• Demonstrated experience implementing automations and production machine learning systems.
• Solid grasp of AI/ML fundamentals—classical ML, deep learning, and LLMs—along with the supporting mathematics, statistics, and data-handling concepts.
• Minimum 2 years using a major cloud platform (Microsoft Azure or Google Cloud Platform), including integrating AI/ML models with cloud infrastructure.
• Familiarity with DevOps practices, containerization (e.g., Docker), CI/CD, and Agile delivery.
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving, stakeholder-management, organizational, and time-management skills, plus the business acumen to connect technical work to business value.
• Spoken and written fluency in English.

Nice to Have (Preferred)

• Master’s degree in a quantitative field such as Engineering, Computer Science, AI/ML, or Data Science.
• 2+ years focused on AI/ML engineering or data science, with an emphasis on GenAI and ML.
• Proven expertise with intelligent document processing, GenAI, and LLM-based solutions.
• Experience with any advanced collections / debt-recovery platform.
• Hands-on experience with tools such as n8n, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, LangChain, Prefect, Azure Document Intelligence, OpenCV, NLTK, and spaCy.

Location, Schedule & Work Environment

• On-site role based in Plantation, Florida.
• Monday–Friday, with a choice of shifts: 8:00 AM–5:00 PM, 8:30 AM–5:30 PM, or 9:00 AM–6:00 PM.
• Standard professional office environment with no significant physical demands (no operation of tools or machinery; no significant lifting).

Benefits

• Paid time off and paid holidays; 401(k) plan; medical, dental, vision, and supplemental health insurance; and a voluntary life insurance plan.