Associate Consultant

About the Role

Appian Customer Success is seeking an Associate Consultant to partner directly with clients and transform their ambitious ideas into reality. This role places you on a fast track to becoming a subject matter expert in AI-Powered Process Automation and a trusted advisor to global business leaders. This position is based at Appian's headquarters in McLean, Virginia, with an expectation of being in the office 5 days a week.

Key Responsibilities

• Deploy Process Solutions: Construct, implement, and deploy custom, process-centric business applications using Appian's leading platform.
• Analyze & Architect: Evaluate client business strategies and operations to design high-impact technical solutions that solve complex workflow inefficiencies.
• Apply Design Thinking: Leverage modern design thinking to build rapid functional prototypes and map comprehensive end-to-end business models.
• Integrate Systems: Drive digital agility by combining vital process improvement disciplines, including application integration, business intelligence, and knowledge management.
• Collaborate and Deliver: Partner closely with cross-functional teams and client stakeholders, utilizing elite verbal and written communication skills to ensure seamless project delivery.

Requirements & Tech Stack

• Top Secret Clearance: An active, government-sponsored Top Secret (or higher) clearance is required, along with the ability to work in a SCIF environment.
• Technical Aptitude: A strong fundamental foundation of computer systems, structural logic, or a demonstrable passion for emerging technologies.
• Analytical Mindset: Proven ability to break down complex business problems, interpret organizational strategies, and translate them into process workflows.
• Communication: Exceptional verbal and written communication skills suitable for professional client-facing environments.
• Willingness to travel; 20% or less annually to support customer engagement.

Qualifications

• Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Economics, Systems Engineering, Mathematics, or a related STEM field with a strong academic record.
• Experience: Prior experience in a professional, academic, or technical setting (includes internships, research, capstones, or consistent part-time/full-time employment).
• Communication: Effective written and verbal communication skills with the ability to collaborate in a professional environment.

Preferred Qualifications

• Proven fluency in AI and LLMs, encompassing both strategic development and hands-on application.
• Demonstrated leadership experience (e.g., executive roles in student organizations, club leadership, or captaincy of team-based activities).
• Foundational experience with relational databases (such as Oracle, SQL, etc.).