Senior AI & Automation Engineer
hirist
Job Description
- AI Strategy & Solution Architecture : Own the AI and automation roadmap, prioritizing high-volume, repetitive and control-sensitive finance processes. Translate business and control needs into scalable architectures, delivery plans and measurable outcomes. Select secure, explainable AI, automation, integration and data patterns aligned with client controls. Assess emerging technologies and recommend high-value solutions aligned with business goals.
- AI Engineering & Development : Build and integrate production-ready AI applications, copilots, assistants, agents and retrieval systems using large language models, machine learning and NLP for queries, document search, coding support, reconciliations, reviews and reporting. Establish secure engineering standards for development, testing, documentation, deployment, monitoring, change control and support.
- Automation & Workflow Transformation : Design end-to-end automation, workflow orchestration and approval frameworks across finance, service delivery and support functions. Enhance controls for processes like reconciliations, trial-balance handoffs, tax workflows, approvals, audit trails and deadlines. Collaborate with process, operations, compliance and client-service teams to confirm requirements from service delivery and support functions, resolve exceptions and embed sustainable practices.
- Product & Platform Development : Advance the Finzo platform through scalable applications, cross-system integrations and reusable automation components across approved systems, subject to access and API availability. Move solutions from prototype to production with clear ownership, shared standards and monitoring to improve usability, adoption, performance and reliability.
- Leadership & Capability Building : Lead the automation portfolio, setting priorities, engineering standards, design quality and production governance. Mentor junior developers through coaching, reusable patterns, documentation and hands-on support. Build organizational AI and automation capability through training, knowledge sharing, experimentation and continuous improvement.