AI​/ML ENG III

AI Automation & Intelligent Workflow Developer III

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Finity, a Fujitsu company, is a global provider of communications networks for our connected world. We uniquely combine technological leadership and expertise in open optical and wireless networking, network automation, and applied AI/ML to design, build, operate, and maintain critical digital communications network infrastructure. Collaborating closely with ecosystem partners, we deliver transformative outcomes for service providers and network operators, and enable them to lower TCO, improve network performance, and increase energy efficiency.

We're also a diverse, inclusive, and innovative workplace that achieves together.

Position Summary

The AI Automation & Intelligent Workflow Developer III is a senior individual contributor responsible for designing, developing, and deploying enterprise AI automation solutions, intelligent workflows, AI agents, and generative AI applications that improve operational efficiency, decision support, and business effectiveness. This role focuses on leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, workflow orchestration frameworks, and enterprise system integrations to automate complex business processes, reduce manual effort, streamline decision-making, and improve organizational productivity.

The ideal candidate combines strong software development and integration expertise with practical experience building intelligent automation solutions that can autonomously gather information, perform analysis, generate content, execute workflows, and deliver actionable business insights. The role partners closely with PMO, Finance, Operations, and IT organizations to transform legacy processes into scalable AI-enabled solutions.

AI Automation & Intelligent Workflow Development

• Design, develop, and deploy AI agents and agentic workflows that automate complex business processes, reporting activities, decision-support functions, and operational tasks.
• Build intelligent workflow solutions using orchestration frameworks such as n8n, Microsoft Power Platform, Lang Chain, Llama Index, CrewAI, or similar technologies.
• Develop AI-enabled solutions capable of autonomous information gathering, data analysis, content generation, workflow execution, and business process automation.
• Design reusable automation architectures that integrate enterprise systems, APIs, databases, reporting platforms, and AI services.
• Evaluate existing business processes and identify automation opportunities that deliver measurable efficiency gains, improved accuracy, and reduced manual effort.
• Implement and maintain Retrieval-Augmented Generation (RAG) solutions utilizing enterprise knowledge sources and business data repositories.
• Integrate generative AI services into reporting, operational, and administrative workflows to improve productivity and decision-making.

Enterprise Reporting & Decision Support

• Design and enhance executive dashboards, scorecards, performance reporting solutions, and KPI frameworks using Power BI and other reporting platforms.
• Develop AI-assisted reporting capabilities including automated summaries, intelligent recommendations, insight generation, and data storytelling.
• Create automated reporting pipelines that reduce manual reporting effort while improving consistency and quality.
• Transform enterprise data into actionable information through intelligent automation and AI-enhanced analytics.

Data Integration & Automation Architecture

• Design, develop, and optimize ELT pipelines supporting AI workflows, automation solutions, and enterprise reporting environments.
• Integrate structured and unstructured data from SAP, Microsoft 365, SharePoint, databases, APIs, cloud platforms, and other enterprise applications.
• Develop scalable data architectures supporting AI agents, automation platforms, reporting systems, and knowledge repositories.
• Document solution architecture, integration methods, workflow logic, and operational support procedures.

AI Governance & Responsible Deployment

• Establish and maintain standards for AI solution reliability, responsible AI practices, security, governance, and business compliance.
• Develop testing and validation methods to ensure AI-driven workflows produce accurate, reliable, explainable, and auditable outputs.
• Monitor automation performance and continually optimize workflow effectiveness, reliability, and user adoption.
• Identify risks associated with AI-generated content, prompt security, data quality, and workflow automation and implement appropriate controls.

Technical Leadership & Stakeholder Engagement

• Partner with Finance, PMO, Operations, IT, and business leaders to translate operational challenges into automation and AI solutions.
• Lead technical discussions related to architecture, automation strategy, and AI implementation approaches.
• Provide technical guidance and mentorship to developers, analysts, and business users implementing automation and AI technologies.
• Communicate…