AI/ML ENG III
$121,100–$193,760 year
RemoteUnited States
United StatesRemoteFull Time$121,100–$193,760 yearEnterprise
Full TimeEnterprise
Job Summary
Design and deploy AI agents and agentic workflows using orchestration frameworks like n8n, LangChain, and CrewAI to automate complex business processes, reporting, and decision-support functions. Build intelligent solutions that autonomously gather information, analyze data, and execute workflows while integrating generative AI services into enterprise systems, APIs, and reporting platforms. Establish and maintain standards for AI governance, responsible deployment, and security, ensuring accurate, auditable, and reliable outputs across all automation initiatives. Partner with Finance, PMO, Operations, and IT to transform legacy processes into scalable AI-enabled solutions, providing technical mentorship and translating operational challenges into actionable automation strategies.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Systems, Artificial Intelligence, Analytics, Engineering, or a related quantitative field
- 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
- 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
- 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
- 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
- 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
- Must be available for weekend shifts
Desired Qualifications
- Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field
- Equivalent combination of education, relevant certifications, and directly related 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
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