Job Description :

This position will lead the technical design, deployment, and operational management of QAD's Finance AI agents. The role bridges finance operations, data engineering, and AI systems to build secure, high-performing, and auditable agent-assisted workflows that optimize finance processes.

Core Responsibilities :

1. Data Foundation & Semantic Layer :

- Define and own the context tables (business glossary, entity definitions, metric hierarchies) that ground AI agents in QAD's financial reality.

- Build and maintain the semantic layer - the translation between raw Google Cloud BigQuery datasets and the financial concepts agents reason over.

- Partner with the data engineering team and other functions on dbt model governance and Fivetran pipeline integrity.

2. Agent Architecture & Process Design :

- Determine the build methodology for process agents - frameworks, orchestration patterns, tool use conventions, handoff protocols between agents.

- Sequence the agent build roadmap.

- Design the human-in-the-loop thresholds - when an agent escalates vs. executes autonomously.

- Own the technical architecture decisions: LLM selection, retrieval strategy, memory design, context window management.

3. Agent Operations & Lifecycle Management :

- Run the agent registry - versioning, deployment, deprecation, and change control for all live agents.

- Manage agent performance over time: drift detection, accuracy degradation, prompt updates as business rules change.

- Own the incident response protocol when an agent produces an incorrect output or takes an unintended action.

- Coordinate agent updates when underlying data schemas, business logic, or finance policies change.

4. Visibility & Monitoring Platform :

- Build or procure a Finance AI Control Center - a dashboard giving real-time visibility into which agents are running, what they've done, error rates, and escalation queues.

- Define and track agent KPIs: task completion rate, exception rate, cycle time vs. manual baseline, cost per transaction.

- Create an audit log for every agent action - who initiated it, what data was touched, what output was produced.

- Report agent health and ROI to management on a regular cadence.

5. AI Risk Management & Internal Controls :

- Design and own the internal control framework for AI in Finance.

- Define approval hierarchies: what an agent can do autonomously vs. what requires human sign-off (e.g., any journal entry over $X requires controller review).

- Partner with infosec on data access controls.

6. Finance Organization Training & Change Management :

- Design and deliver the Finance AI literacy curriculum - from foundational concepts to role-specific agent interaction training.

- Build the change management playbook for the transition: how teams move from manual processes to agent-assisted workflows.

- Create and maintain agent user guides - what each agent does, its limitations, how to override it, and how to report issues.

- Work with Finance leaders to embed AI fluency into their team cultures.

7. Process Reengineering :

- Lead the Finance process rewrite initiative.

- Identify which steps in each process are agent-executable vs. requiring judgment, and draw those boundaries explicitly.

- Ensure redesigned processes still satisfy internal control requirements and auditability standards.

- Feed process redesign outputs back into agent specifications and the semantic layer.

Qualifications :

- Minimum 8 years of experience. Hands-on experience building and managing LLM-based agents in production environments. Background spanning finance operations, data engineering, and AI/ML systems.

- Computer skills: BigQuery, dbt, Fivetran, SQL, Python, LLM orchestration frameworks, data pipeline management.

- Deep understanding of financial controls, finance operational process flows, and audit requirements. Expertise in LLM & Agentic Architecture, and Change Management & Training.

- Background spanning finance operations + data engineering + AI/ML systems.

- Has built or managed LLM-based agents in a production environment, not just POCs.

- Understands financial controls, finance operational process flows and audit requirements - not just a technologist.

- Strong communicator who can bridge your finance leads and the technical implementation team.

Additional Information :

- Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.

- Opportunity to join a growing business, launching into its next phase of expansion and transformation.

- Collaborative culture of smart and hard-working people who support one another to get the job done.

- An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.

- Compensation packages based on experience and desired skill set.