Full Time
TBD
TBD
Sep 3, 2026
Position Summary
We are seeking a Director of Applied AI & Automation to lead the development and implementation of practical AI and automation solutions across financial analysis, transaction execution, research, reporting, and document workflows.
This is a hands-on builder role. You will personally design, prototype, test, and deploy production-ready solutions while working closely with business and financial teams.
Key Responsibilities
Identify and prioritize high-value AI and automation opportunities.
Design and deploy AI-enabled workflows for documents, financial data, analysis, and reporting.
Build solutions using AI, document intelligence, OCR, APIs, rules-based automation, and conventional software.
Automate appropriate portions of Excel, PowerPoint, and document-based workflows while maintaining accuracy and model integrity.
Develop validation, exception-handling, human-review, and audit processes.
Integrate solutions with approved business systems and platforms.
Move successful prototypes into reliable production workflows and continuously improve them.
Establish practical standards for AI governance, security, confidentiality, testing, and documentation.
Train users and support adoption of new workflows.
Help establish the long-term AI and automation roadmap and future team capabilities.
Required Experience & Skills
7+ years of relevant experience in software engineering, applied AI, intelligent automation, data engineering, fintech, or related fields.
Demonstrated experience personally building and deploying production-grade automation.
Strong proficiency in Python, APIs, SQL, Git, data transformation, and cloud-based services.
Practical experience with OCR/document intelligence, structured data extraction, LLMs, and AI-powered workflows.
Experience with automated testing, logging, monitoring, exception handling, and auditability.
Strong programmatic Excel capabilities and familiarity with PowerPoint/business document automation.
Experience integrating business systems through APIs and structured data.
Ability to work with confidential or sensitive information.
Strong business judgment, communication, and stakeholder-management skills.
Excellent written and spoken English.
Business Knowledge
Experience or strong working knowledge of financial statements, Excel-based financial models, financial analysis, valuation, transaction workflows, or other document-intensive financial processes is highly valued.
Direct investment banking experience is not required. Candidates from accounting technology, financial services, consulting, enterprise automation, or related industries are encouraged to apply.
Ideal Candidate
You are a builder, problem-solver, and practical technology leader who:
Focuses on measurable business outcomes rather than AI experimentation.
Can translate business problems into reliable technical solutions.
Is rigorous about accuracy, testing, security, and confidentiality.
Can communicate technical concepts clearly to non-technical stakeholders.
Is comfortable working hands-on while also shaping long-term strategy.
Understands that AI solutions must be adopted, controlled, and reliable in real-world operations.
Practical Requirements
Full-time commitment.
Ability to maintain meaningful working-hour overlap with teams in Puerto Rico and the Philippines.
Willingness to travel periodically as needed.
Professional fluency in English.
Spanish proficiency is an advantage but not required.
Application
Please submit:
Current résumé/CV.
Brief examples of 2–3 automation or AI systems you personally helped build and deploy.
Your specific contribution, technologies used, and measurable business results.
Portfolio, code samples, architecture diagrams, or sanitized work examples where available.
Candidates should be prepared to discuss a project that failed or underperformed and what they learned from it.
What Success Looks Like
Success in this role will be measured by production adoption and measurable business impact—including improved processing speed, reduced errors and rework, reliable automation, strong user adoption, appropriate human oversight, and secure handling of sensitive information.
ProfitGrid evaluates candidates based on qualifications, demonstrated capabilities, judgment, and alignment with the requirements of the position.