Staff Finance Systems Engineer

Job Description

This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Hiring Team Description

We are seeking a Finance AI & Automation Engineer to design, build, and scale AI-enabled workflows and internal applications that change how Finance operates. This role is AI-first and build-heavy: you will ship production workflows that combine approved AI services with low-code platforms (Microsoft Power Apps, Power Automate), integrate with enterprise systems including Oracle ERP, Oracle EPM, GetPaid, and Allocadia, and apply automation patterns to eliminate manual work. 

You will partner closely with stakeholders across Finance  -  Strategic Finance, FP&A, Controllership, Procurement, Marketing Finance, and Collections  -  to identify pain points, translate them into product requirements, and ship iterative solutions with strong reliability, governance, and responsible AI practices. 

Core Responsibilities 

AI-Enabled Workflow Design 

• Lead with AI: design and ship Finance workflows that use approved AI services for classification, summarization, anomaly detection, narrative generation, assisted triage, and knowledge search. 

• Partner with security, privacy, and platform teams to apply guardrails, prompt patterns, evaluation harnesses, and human-in-the-loop controls. 

• Define success metrics (cycle time, accuracy, deflection rate) and instrument solutions so AI value is measurable. 

Low-Code / No-Code Application Development 

• Build and deploy production applications using Microsoft Power Apps (canvas / model-driven) and Power Automate, with user-friendly interfaces and role-based experiences. 

• Deliver rapid iterations with engineering discipline: versioning, environments, release practices, and quality checks. 

• Create reusable components, templates, and patterns to accelerate delivery across multiple Finance use cases. 

Workflow Automation & Process Orchestration 

• Automate end-to-end Finance processes: request intake, approvals, task routing, exception handling, audit trail, and notifications. 

• Target touchless and low-touch outcomes (e.g., PO lifecycle, expense workflows, close tasks, marketing allocation). 

• Optimize for scalability, reliability, and maintainability  -  reducing manual steps, cycle times, and operational toil. 

Integrations & Data Connectivity 

• Build and maintain integrations between low-code apps and enterprise systems (Oracle Fusion ERP, Oracle EPM, GetPaid, Allocadia, and adjacent platforms). 

• Implement data validations, lightweight transformations, and robust error handling for accuracy and operational resilience. 

• Partner with IT and Data teams on integration standards, authentication, and governance. 

Quality, Operations, and Support 

• Own testing and debugging: functional validation, performance checks, regression testing, and production issue triage. 

• Monitor application performance and usage; improve speed, stability, and user experience. 

• Provide tier-2 support, runbooks, and documentation to ensure smooth adoption. 

Product Mindset & Stakeholder Partnership 

• Run discovery with Finance stakeholders, translate needs into clear user stories, and manage a prioritized backlog. 

• Communicate progress, trade-offs, and decisions; demo iteratively and adapt based on outcomes. 

Governance, Security, and Documentation 

• Ensure applications meet enterprise standards for data protection, access controls, auditability, change management, and AI responsible-use policies. 

• Produce clear technical documentation (solution design, integrations, configuration) and user guides. 

Qualifications

Basic Qualifications 

• Bachelor's degree in a relevant field (Computer Science, Information Systems, Engineering, or equivalent practical experience). 

• 10+ years of relevant professional experience, or equivalent experience. 

• Hands-on experience building production solutions with Microsoft Power Apps or another low-code / no-code platform. 

• Demonstrated experience applying AI in production workflows  -  at minimum, prompt engineering, evaluation, and responsible-use practices for enterprise AI services. 

• Understanding of software delivery fundamentals (SDLC, environments, testing, releases). 

• Experience translating business requirements into working applications and workflows. 

Preferred Qualifications 

• Experience integrating low-code applications with enterprise platforms such as Oracle Fusion ERP, Oracle EPM, GetPaid, or Allocadia (APIs, data connectors, authentication patterns). 

• Experience with AI-enabled automation use cases at scale  -  document intelligence, summarization, anomaly detection, narrative generation, conversational interfaces. 

• Familiarity with evaluation frameworks for AI outputs (accuracy, hallucination, bias, drift) and human-in-the-loop patterns. 

• Familiarity with automation tooling and workflow orchestration (approvals, exception handling, notifications, audit trail). 

• Experience in Agile delivery (sprints, backlog grooming, demos, iterative releases). 

• Experience building solutions for complex, regulated environments with strong controls and governance (SOX, segregation of duties, change management). 

Suggested Skills:

• FP&A
• Workflow Automation
• Low-Code / No-Code Application Development

Additional Information

Ideal Candidate Profile 

You are an AI-fluent builder who can take an ambiguous Finance problem, clarify it with stakeholders, decide where AI adds real value versus where deterministic automation is the right answer, and ship high-quality solutions quickly. You thrive in cross-functional environments, take end-to-end ownership, and balance speed with reliability, security, and maintainability. You apply AI thoughtfully  -  measuring outcomes, designing guardrails, and keeping humans in the loop where the stakes require it. 

On a Typical Day 

• Run a requirement session with Strategic Finance, turn it into user stories, and start building an AI-assisted workflow in Power Apps. 

• Wire an integration to Oracle Fusion or GetPaid, validate outputs, and add robust error handling and audit logging. 

• Tune prompts and evaluation cases for an AI summarization feature; review accuracy and adjust the human-in-the-loop step. 

• Debug a production issue, ship a safe fix, and update the runbook. 

• Demo a new feature to Finance stakeholders, capture feedback, and prioritize next sprint work. 

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LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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