opengreenhousembaexchange
Solution Architect - AI or Data Management
Appian
LocationMcLean, Virginia, Appian Corporation - US
Last observed2026-06-13 05:25:34.253715
Job idmbaexchange-appian:greenhouse:7908503
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. AI Solution Architect At Appian, we support our federal customer’s mission by delivering solutions using our cloud-based platform technology. Appian’s Customer Success organization works closely with our federal customers, advising and supporting them on how to architect and deliver Appian based-solutions. To support this goal, Appian Customer Success, is looking for an Solution Architect to help us to grow our federal business and work closely with customers to design integrated solutions and make compelling offers. As a Solution Architect, you will be a key technical leader within Appian’s Customer Success team as well as a trusted technical advisor to Appian’s clients. In this role, you will define leading, integrated solutions that use Appian’s platform technology to support our customers unique mission areas. You will maintain an awareness of market forces and trends, lead the design and development of innovations and offerings that address customers demands and continue to position as a leader. You will consult and advise our customers on their programs and projects, driving quality and innovation. The ideal candidate will combine excellent technical, product and business skills to make our customers and partners successful. And have experience working with BPM and/or business systems. To be successful in this role, you will: Advise customers on the technical design, architecture and implementation of Appian solutions on a customer’s private cloud or on-premise hosting solution, and/or integrating Appian government cloud offerings with the customer’s infrastructure Support the sales cycle through the creation of high-value, differentiated solutions, based on Appian’s technology, that integrates and defines program and project management disciplines with a compelling technical solution and delivery roadmap Present and vet integrated solutions and complex technical concepts and designs to our customers and other audiences Support customers on the configuration, testing, deployment and operations of Appian applications, following agile delivery methodologies and Appian best practices Work with clients on all aspects of their program to drive technical success and efficiency, including advising of development practice, program management and governance and delivery automation (version control, configuration management, and other DevSecOps and Infrastructure Automation practices) Lead the definition and development of Appian Customer Success innovations and offerings in order to support leading Appian delivery capabilities, and bring together emerging requirements and practices from our customers and industry Collect and review technical challenges with a team of architects and distill into common best practices and common solutions Support the development and review of whitepapers and pre-sales solutioning and proposals Advise federal customers on the design and integration of AI and generative AI capabilities, including large language models (LLMs), intelligent automation, and machine learning, into Appian-based solutions, ensuring alignment with mission objectives, responsible AI principles. Lead the definition of enterprise data strategies and architectures for federal customers, including data ingestion, storage, integration, and analytics frameworks that enable scalable, mission-driven data platforms on cloud environments. Establish and operationalize data governance frameworks for federal programs, including data quality standards, lineage, metadata management, access controls, and stewardship models that en
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