Appian Developer

SAIC•Flexwork, VA

About The Position

SAIC is seeking a senior Information Engineering Appian Developer to design and implement enterprise-wide information systems and AI-enabled solutions that create measurable customer value. The role applies information engineering disciplines to plan, analyze, design, and build complex systems, while leading development of AI-based applications, prototypes, and reusable Appian components. The developer takes concepts from early discovery through working proofs of concept and production-grade capabilities, drawing on deep information systems development experience, Appian expertise, and software engineering skills. The role includes enterprise systems planning and analysis, requirements definition, process and data modeling, legacy-system transition planning, and alignment with enterprise architecture standards. It also designs and configures Appian workflows, interfaces, rules, data types, and integrations; connects AI APIs and cloud AI services; and optimizes AI implementation for accuracy, latency, and cost. The position supports responsible and secure AI use, compliance with applicable standards and governance, development of internal best practices, technical staff leadership and mentorship, and communication with technical and non-technical stakeholders.

Requirements

  • Bachelor’s degree in computer science, Information Systems, or a related discipline.
  • 12+ years of experience in information systems development, functional and data requirements analysis, systems analysis and design, programming, program design, and documentation preparation.
  • Intensive and progressive experience managing implementation of information engineering projects.
  • Intensive and progressive experience in systems analysis, design, and programming.
  • Intensive and progressive experience in client/server and/or distributed computing environments.
  • Significant hands-on experience designing, developing, and deploying Appian solutions, including applications, workflows, interfaces, and integrations.
  • Proven managerial and leadership experience providing direction and oversight to technical teams.
  • Hands-on Appian development experience.
  • Experience integrating Appian with REST APIs, microservices, and enterprise systems.
  • Experience working in Agile/Scrum delivery environments.

Responsibilities

  • Plan, analyze, design, and construct enterprise-wide information systems.
  • Lead information systems development, including functional and data requirements analysis, systems analysis and design, programming oversight, and documentation preparation.
  • Perform strategic systems planning, business information planning, and business process analysis in support of mission and organizational objectives.
  • Conduct process and data modeling using manual and automated tools.
  • Apply reverse engineering and re-engineering disciplines to develop migration strategies and planning documents for legacy-to-target system transitions.
  • Ensure solutions integrate with enterprise architecture standards and strategies, reusing shared capabilities and platforms, including Appian, where appropriate.
  • Design and build AI-enabled applications, prototypes, and reusable enterprise components using Appian, integrating with existing information systems and data assets.
  • Configure Appian process models, interfaces, rules, data types, and integrations to implement end-to-end business workflows.
  • Integrate and orchestrate AI APIs and cloud AI services within Appian applications and broader enterprise architectures.
  • Optimize prompts, model selection, context window usage, and token consumption to balance accuracy, latency, and cost.
  • Turn concepts and business problems into working proofs of concept and technical prototypes; validate feasibility and iterate based on user and stakeholder feedback.
  • Implement data protection, security guardrails, and responsible AI practices in accordance with enterprise and customer policies.
  • Ensure systems, Appian solutions, and AI components comply with applicable standards, security requirements, and governance frameworks.
  • Contribute best practices, patterns, and reference implementations for information engineering, Appian solution design, and AI-enabled applications.
  • Provide daily supervision, mentorship, and direction to technical staff, fostering collaboration, professional growth, and high performance.
  • Provide technical guidance in software engineering techniques, Appian design patterns, AI integration approaches, and automated support tools.
  • Prepare and deliver clear written materials and formal presentations to technical and non-technical audiences, including senior stakeholders.
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