Business Process Automation Developer

We respectfully request that 3rd parties refrain from contacting us regarding this posting.OverviewLABUR is partnering with a client to bring on an AI Developer focused on building automation solutions for asset management workflow improvements. This role converts business problems into scalable AI-enabled and rule-based solutions that reduce manual effort and save time for business teams. The ideal person brings strong software engineering fundamentals, hands-on AI and machine learning experience, and experience building automations for key business processes.ResponsibilitiesBuild AI-enabled automation for reconciliation and middle office workflows, including cash, position, and transaction data reconciliationDevelop exception classification, anomaly detection, break prioritization, and root-cause analysis capabilitiesDesign and implement classification, summarization, semantic search, and decision-support features using AI and machine learningPartner with business, operations, product, technology, risk, and vendor teams to deliver production-ready, supportable solutionsCreate technical designs, data mappings, workflow diagrams, and runbooksQualificationsBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Finance, Accounting, or equivalent experienceSeveral years of software engineering, AI development, data engineering, or automation engineering experienceStrong programming skills in Python, Java, JavaScript/TypeScript, or similar languages with solid SQL and data transformation capabilitiesExperience with Google Cloud Platform services including Cloud Storage, Cloud Run, Google Cloud Storage, Cloud Dataflow, Cloud Composer/DAGs, and Secret Manager.Experience with Vertex AI Search, Gemini LLMs, Gemini Enterprise Agent Platform, Gemini Flash 3.5, and Gemini Flash-Lite models.Experience with APIs, microservices, integrations, cloud platforms, CI/CD, testing, monitoring, and production supportExperience in asset management preferredUnderstanding of responsible AI principles including privacy, explainability, oversight, auditability, and operational risk controlsPreferred: Experience with reconciliation platforms and experience modernizing manual processes through workflow automation, STP, or AI-assisted reviewCompensation$70-$75/hr - Dependent on fit and experience