AI Operations Associate
About the role
The AI Operations Associate monitors AI-driven workflows in production, reviews output-quality incidents, supports fallback and human-review decisions, and partners on trust-sensitive escalations. This role helps ensure AI-enabled workflows remain reliable, supportable, and safe in live finance-oriented environments.
Responsibilities
- AI Workflow Monitoring: Monitor AI-driven workflows in production for abnormal behavior, trust issues, degraded outputs.
- Review signals related to output quality, fallback use, low-confidence patterns.
- Escalate issues affecting live user trust, business quality, or finance-sensitive outcomes.
- Track adoption rates, usage frequency, and tool traction.
- Incident Investigation: Investigate output-quality incidents, orchestration failures, prompt/workflow regressions.
- Distinguish true software defects from model behavior, data-quality, or process issues.
- Partner with Engineering, QA, and business stakeholders on judgment-heavy incidents.
- Operational Controls: Support human-review patterns, fallback routes, and safe-operating responses.
- Define and apply production review practices for higher-risk workflows.
- Document evidence and issue patterns for repeatability and release decisions.
- Cover vendor-deployed solutions with same rigor as internally built workflows: managing vendor SLAs, update cycles, and incident patterns.
- Measurement Contribution: Identify recurring issues and recommend improvements to monitoring and quality feedback loops.
- Feed production learnings back into QA, Product, and Engineering.
- Feed structured, reportable data into the measurement platform including performance metrics, incident patterns, adoption signals for portfolio-level visibility.
- Act as product owner for AI usage and adoption dashboards.
Requirements
- 4+ years experience in production support, AI operations, business process ops, analytics, or QA.
- Strong analytical skills evaluating nuanced workflow/output issues with focus on safe operations.
- High attention to detail; proven experience spotting subtle trust or quality issues.
- Ability to work across engineering and business teams in ambiguous situations.
- Comfort balancing evidence, judgment, and business impact under pressure.
- Experience with AI-enabled workflows, operational analytics, or workflow-heavy systems.
- Python proficiency required.
- Experience utilizing APIs.
Qualifications
- Bachelor's degree preferred.
Skills
- Strong analytical skills.
- Attention to detail.
- Ability to work across engineering and business teams.
- Experience with AI-enabled workflows.
- Python proficiency.
Benefits
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Pay
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Schedule
This position is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).
Accordion is an Equal Opportunity Employer
We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.