Dallas, Texas

Location Flexibility: Multiple Locations in Country

Req Id: 11027

AI Automation & Intelligent Workflow Developer III

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.

Key Responsibilities

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, LangChain, LlamaIndex, 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 complex technical concepts in a manner that is understandable to technical and non-technical audiences.
• Support organizational adoption of AI-enabled business processes through training, documentation, demonstrations, and knowledge transfer.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Artificial Intelligence, Analytics, Engineering, or a related quantitative field required.
• Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field preferred, but not required.
• Equivalent combination of education, relevant certifications, and directly related experience will be considered.

Professional Experience

• 5+ years of experience in software development, automation development, enterprise integrations, business intelligence, data engineering, or related technical disciplines.
• 2+ years of hands-on experience developing and deploying Generative AI, AI agents, intelligent automation solutions, or agentic workflows in enterprise environments.
• Proven experience implementing automation solutions that deliver measurable business value through improved efficiency, standardization, and reduced manual effort.
• Experience integrating AI capabilities with enterprise systems, reporting environments, workflows, APIs, and business applications.
• Demonstrated ownership of solution design, development, testing, deployment, documentation, and long-term support of automation initiatives.

Technical Qualifications

Artificial Intelligence & Intelligent Automation

• Hands-on experience designing, developing, and deploying AI agents, agentic workflows, and Generative AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Experience developing intelligent automation solutions using n8n, LangChain, LlamaIndex, CrewAI, Microsoft Copilot Studio, Power Automate, or similar workflow orchestration frameworks.
• Experience creating autonomous or semi-autonomous workflows that perform business analysis, research, content generation, reporting, decision support, and process execution.
• Familiarity with prompt engineering, context management, tool integration, workflow orchestration, agent memory concepts, and multi-step agent execution patterns.
• Experience integrating Azure OpenAI, Azure AI Services, OpenAI APIs, Microsoft Copilot technologies, AWS AI services, or comparable AI platforms into enterprise solutions.
• Familiarity with agentic code development using Windsurf, GitHub Copilot, Cursor, or similar AI-assisted software development environments.
• Knowledge of AI governance, prompt security, output validation, responsible AI practices, and enterprise AI deployment standards.
• Experience monitoring, tuning, and optimizing AI workflow performance, reliability, and business effectiveness.

Programming, Integration & Development

• Advanced Python development skills, including experience with APIs, automation scripting, reusable code design, and data processing.
• Strong SQL development experience for data extraction, transformation, validation, and integration.
• Experience integrating enterprise applications, databases, APIs, Microsoft 365 services, SharePoint, cloud platforms, and reporting environments.
• Experience with Git or similar version control tools and structured development practices.

Business Intelligence & Reporting Automation

• Strong Power BI development experience, including data modeling, DAX, Power Query, dashboard development, executive reporting, and KPI frameworks.
• Experience automating recurring reports, performance summaries, business reviews, or stakeholder-facing reporting packages.
• Ability to incorporate AI-generated summaries, recommendations, contextual insights, and automated narratives into reporting environments.

Data Integration & Workflow Architecture

• Experience designing and optimizing ETL/ELT pipelines for reporting, automation, and AI workflow support.
• Experience integrating data from complex enterprise environments such as SAP, Microsoft 365, SharePoint, databases, APIs, cloud platforms, and flat files.
• Working knowledge of cloud data platforms such as Azure Data Factory, Snowflake, Azure Synapse Analytics, Databricks, or similar technologies.
• Strong understanding of data quality, data lineage, semantic modeling, scalable integration patterns, and automation reliability.

Preferred Experience

• Implementation of enterprise Copilot solutions.
• Development of autonomous agents or multi-agent systems.
• Microsoft 365 integration and automation, including SharePoint, Teams, Outlook, and Power Platform workflows.
• SAP integration for intelligent workflows and automated reporting processes.
• Business process automation, workflow orchestration, task routing, and approval automation.
• AI-enabled knowledge management solutions and enterprise knowledge retrieval patterns.
• Exposure to traditional machine learning use cases such as anomaly detection, forecasting, classification, clustering, or regression is a plus, but not the primary focus of this role.

Core Competencies
• Intelligent workflow design
• AI agent development
• Enterprise automation architecture
• Generative AI solution development
• Systems integration and data connectivity
• Business process transformation
• Technical problem solving
• AI governance and responsible deployment
• Technical mentorship
• Stakeholder collaboration
• Strategic automation planning
• Continuous improvement and innovation

As we are looking for a remote position, the disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 1Finity aligns salaries to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at$121,100 to $193,760 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

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Relocation Supported: No

Visa Sponsorship Approved: No