[Remote] Senior Forward Deployed Engineer - Finance AI Enablement

Note: The job is a remote job and is open to candidates in USA. reputed company is focused on reputed company AI directly into business functions to drive measurable impact, and they are seeking a Senior Forward Deployed Engineer to partner with the Finance organization. This role involves designing and building AI systems that improve operational efficiency and decision-making within Finance, while ensuring compliance and governance standards are met. Responsibilities • Design and build the Finance-specific AI integration layer that connects AI systems to enterprise finance platforms, operational data, and institutional knowledge sources • Integrating AI systems with platforms such as reputed company, Adaptive Planning, reputed company, AWS, and internal data warehouses • Building retrieval and knowledge systems over financial documentation, board materials, KPI definitions, investor communications, and forecasting models • Developing reusable AI workflow and orchestration patterns for Finance use reputed company • Enabling conversational and natural-language interaction with operational and financial data • Partnering with central Engineering and AI platform teams to adopt and extend shared AI infrastructure patterns • Build AI-enabled quality assurance and validation systems that improve confidence, consistency, and operational rigor across Finance workflows • Metric reconciliation across reporting materials and presentations • Narrative and KPI consistency validation • Financial calculation verification • Reporting integrity and formatting validation • AI-assisted review workflows with human-in-the-loop oversight • Evaluation and auditability patterns supporting SOX-aligned processes where applicable • Develop AI systems that continuously analyze operational and financial processes to surface reputed company, anomalies, optimization opportunities, and business risks • Cost and spend monitoring • Vendor and procurement analysis • Contract and compliance monitoring • Pricing and operational trend analysis • Cloud and AI platform cost optimization • Automated summarization, alerting, and root-cause analysis • Build AI-powered intelligence capabilities that help Finance leadership monitor external market activity and prepare executive-level materials more efficiently • Monitoring competitor activity, earnings calls, filings, and analyst commentary • Supporting benchmarking and market intelligence workflows • Assisting with earnings preparation, executive Q&A, and board preparation workflows • Cross-referencing and validating data across financial narratives, trend reporting, and investor-facing materials • Develop AI-enabled workflows that accelerate operational execution and reduce manual effort across recurring Finance processes • Monthly and quarterly reporting commentary • Flash reports and KPI summaries • Forecast and enrollment analysis • Revenue and operational model validation • Executive memo and board material drafting support • Enable Finance teams to effectively evaluate, use, and extend AI systems over time • Building evaluation frameworks, regression testing, and quality scorecards • Establishing operational review and feedback loops • Training Finance SMEs on AI evaluation and workflow management • Promoting transparency around AI capabilities, limitations, and reliability • Helping Finance teams grow long-term AI fluency and operational ownership • Partnering across Finance, Accounting, IT, Security & Compliance, Data & Engineering, Business Systems, Enterprise AI & Automation teams Skills • 5+ years of experience building and deploying software, data, automation, or AI-powered applications • 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments • Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems • Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows • Experience integrating enterprise systems and operational data into AI-enabled workflows • Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms • Experience designing retrieval or contextual knowledge systems across large document and metric corpora • Familiarity with structured and unstructured enterprise data environments • Understanding of operational monitoring, evaluation, and observability concepts for AI systems • Excellent communication and stakeholder management skills • Proven ability to partner directly with no