Jobs at Groundswell

Lead Appian solution delivery and integrated program management for federal clients. Guide architecture, Agile implementation, integrations, scalability, DevSecOps, and platform configuration. Coordinate technical teams, support proposals and pre-sales, evaluate technologies, develop implementation best practices, improve internal processes, and mentor delivery personnel. The role is hybrid in McLean, Virginia, with remote flexibility.

Develops, tests, deploys, maintains, and improves .NET web applications for a federal government client. Translates user stories into software, designs application components and data models, develops vendor interfaces, performs code reviews, monitors system metrics, and creates technical and user documentation. The role participates in Agile processes, supports reporting requests, maintains existing systems, and contributes to software delivery and continuous improvement. Candidates need at least two years of .NET development experience and must be able to obtain Public Trust clearance.

Lead Appian implementation teams, design scalable Appian solutions, support development and testing, advise clients on architecture/DevSecOps, create best practices documentation, mentor and enable delivery teams, and support internal tools and infrastructure.

Lead infrastructure and platform engineering teams, oversee capacity, schedules, risks, governance, and delivery quality. Design secure, scalable AWS architectures and external integrations; translate business needs into technical roadmaps and implementation plans. Establish standards for data integration, configuration, compliance, and auditability. Guide Agentic Audit technology evolution, evaluate emerging technologies, conduct technical and code reviews, and support platform deployments in a DevSecOps environment.

Build and operationalize production AI solutions for federal clients, from stakeholder discovery and architecture through evaluation, deployment, governance, monitoring, and optimization. Develop LLM applications using retrieval, structured outputs, tool use, and agentic workflows. Define quality metrics, create evaluation sets, document limitations, advise clients on AI use cases, and mentor engineers while contributing to reusable internal patterns and products.

Owns AI capabilities end to end, from stakeholder discovery and technical design through development, evaluation, deployment, monitoring, and documentation. Builds LLM applications using retrieval, structured extraction, tool use, and agent patterns; defines measurable quality criteria; balances accuracy, cost, latency, security, and complexity; supports client delivery and proofs of concept; and mentors engineers new to AI.

Build production-quality AI applications for federal clients and internal products. Responsibilities include gathering requirements, designing prompts and retrieval workflows, integrating APIs and data, creating evaluations, investigating failures, documenting limitations, and supporting proofs of concept and client demonstrations. The role requires client-facing communication, comfort with ambiguity, and the ability to translate business needs into working software.

Designs, deploys, and operates secure, scalable AWS infrastructure and application services for mission-focused platforms. Builds Kubernetes-based containerized services, Infrastructure as Code, CI/CD pipelines, integrations, security controls, observability, and operational documentation. Troubleshoots distributed systems, supports compliance-oriented environments, and collaborates with architects, developers, security teams, data specialists, and customers. Requires a bachelor’s degree, four years of relevant experience, U.S. citizenship, and the ability to obtain and maintain a Public Trust Clearance.

Leads a team of test specialists and owns system, regression, performance, integration, acceptance, end-to-end, and automated testing programs. Develops test strategies, translates requirements into test objectives, builds UiPath automation, analyzes defects and test results, and provides recommendations to government stakeholders. Requires Agile experience, test leadership, 5+ years of software testing experience, relevant certification, and an IT-II Non-Critical Sensitive clearance.

Designs scalable Databricks solutions and ETL/ELT pipelines while administering MariaDB and SQL Server environments. Responsibilities include database design, performance tuning, backup and disaster recovery, security and access management, data modeling, quality and lineage, and troubleshooting complex data issues. The role collaborates with stakeholders and technical teams, translates requirements into secure solutions, provides technical direction, and delivers demonstrations and training for Department of Transportation support.

Partner with Appian product teams to elicit and document requirements, design BPM/data models and UI, author Agile user stories, run discovery workshops, support MVP and roadmap planning, refine backlog, estimate and accept stories, track risks, and recommend process improvements.

The Principal Appian Consultant leads delivery teams, mentors staff, guides clients on technical solutions, and implements best practices for Appian solutions.

As an Appian Consultant, you'll implement complex Appian solutions, provide technical guidance, mentor teams, and drive process improvements for clients.

Design and guide implementation of scalable Appian solutions and integrations, advise enterprise architecture teams, mentor delivery teams, create best practices, support cloud/on-prem/hybrid deployments, and ensure performance, security, and DevSecOps alignment.

Lead and architect enterprise Appian solutions, mentor delivery teams, guide architecture, integrations and DevSecOps, ensure scalability and performance, produce implementation best practices and documentation, support multiple projects and client governance, and provide technical leadership for platform implementations.

The Appian Test Engineering Lead will develop and implement quality assurance programs, lead automation testing efforts, mentor team members, and collaborate on test strategies and documentation.

Lead Appian implementation and architecture for federal clients: design, develop, test, and scale Appian solutions; guide DevSecOps and integrations; mentor teams; document best practices and support internal tools.

Lead a developer pod to design and deliver UiPath-based Agentic/RPA solutions. Provide technical design, mentor engineers, configure UiPath AI Trust Layer and LLM interfaces, integrate systems via APIs, and drive customer adoption and evangelism of the UiPath platform.