Manager of Automation and AI

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;
• a voluntary life insurance plan.