Principal Engineer - Business Process Automation (E5891)

Job Summary

About the Role

The Principal Engineer for Business Process Automation will lead the complete lifecycle of enterprise workflow automation solutions using no-code/low-code platforms like Appian, Microsoft Power Platform, and RunMyProcess. This role involves identifying automation opportunities, translating business needs into efficient workflows, and streamlining critical business operations to improve efficiency. Additionally, this role drives innovation through the integration of Generative AI (GenAI) and agentic workflows into automation solutions.

Responsibilities

• Lead the complete lifecycle of enterprise workflow automation solutions, including conceptualization, detailed design, development, testing, seamless deployment, and ongoing maintenance.
• Closely collaborate with diverse cross-functional teams, including business analysts, process owners, IT architects, and end-users, to gather and document comprehensive business and technical requirements.
• Translate gathered requirements into clear and concise user stories, detailed process flows, and technical specifications.
• Take ownership of the end-to-end implementation and continuous optimization of business process automation solutions, ensuring data integrity and security, and rigorous testing to guarantee optimal performance and reliability.
• Provide strong technical leadership, guidance, and mentorship to junior engineers, business analysts, and other team members involved in automation initiatives.
• Communicate effectively and proactively with a wide range of stakeholders, including business users with varying levels of technical understanding, project managers responsible for overall project delivery, and other technical resources involved in related systems or integrations.
• Monitor and stay abreast of the latest industry trends, advancements, and emerging technologies in the field of business process automation, particularly within no-code and low-code platform ecosystems.
• Evaluate the potential impact of these developments on the organization and recommend innovative solutions to further enhance automation capabilities and drive business value.
• Create a strategy for automation platforms, covering technology selection, architecture, and development guidelines, emphasizing cost control through efficient resource use and reduced overhead.
• Detail a cost-effective and compliant licensing model that addresses different deployments, user access, scalability, IP protection, and usage tracking across the organization.
• Pioneer the integration of Generative AI (GenAI) and agentic workflows into enterprise Business Process Automation solutions, including the use of Large Language Models (LLMs) for automated drafting, summarization, and decision support within platforms such as Appian.
• Develop and implement strategies for deploying AI agents to automate complex, multi-step processes across business functions and workflows, ensuring seamless integration with existing low-code/no-code platforms.

Requirements

• Education: Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field. Master's or other advanced degree preferred.
• Experience: 7-10 years of experience in innovation and delivery platforms. 4-7 years of extensive and proven experience in the complete lifecycle of enterprise workflow and business process automation solutions, from conceptualization to deployment and maintenance. 4-7 years of demonstrable subject matter expertise in utilizing no-code/low-code platforms, with deep practical experience in platforms such as Appian and Microsoft Power Platform. 4-7 years of a strong grasp and practical application of agile methodologies (Scrum, Kanban) within software development lifecycles, including demonstrable experience in developing clear and concise user stories. 7-10 years of exceptional communication and interpersonal skills, including the ability to articulate complex technical concepts to both technical and non-technical audiences, present solutions effectively, and collaborate seamlessly within cross-functional teams. 4-7 years of experience in developing strategies for automation platforms, including technology selection, architecture, and development guidelines, with a focus on cost control. 4-7 years of experience in defining and implementing cost-effective and compliant licensing models for automation platforms. Less than 2 years of demonstrable experience integrating AI/Generative AI models or agents with workflow platforms such as Appian, Microsoft Power Platform, or similar low-code automation tools. Less than 2 years of experience with agentic architectures, including concepts such as Model Context Protocol (MCP) or similar frameworks used to connect large language models (LLMs) to enterprise systems and data sources. Proven track record in leveraging AI to augment human workflows—enhancing efficiency, consistency, and decision-making—beyond simple task automation.
• Skills: Extensive full-stack development experience, with a strong proficiency in business process automation. Solid understanding of backend technologies and frameworks, including AWS. Demonstrated experience in designing and implementing custom connectors or integrations within automation platforms. Strong understanding of data integrity and security principles as they relate to automation solutions. Demonstrated understanding of integrating Generative AI/LLM capabilities into enterprise automation solutions. Experience designing or working with AI-driven or agent-based workflows within enterprise systems and how AI can augment human decision-making and business processes within automation platforms. Quick troubleshooting and problem-solving skills. Demonstrated written and verbal communication skills. Possesses strong technical aptitude.