Qualifications Required: + Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical field + 4+ years of experience in software engineering, architecture, quality engineering, DevOps, SRE, or related SDLC delivery roles + 1+ years of experience delivering production, operational, or client-facing technology solutions in complex delivery environments + 1+ years of experience translating business requirements into technical designs, delivery plans, and execution checkpoints across multiple stakeholders + 1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools in professional or project settings + 1+ years of experience reviewing and validating work produced by others, including code reviews, design reviews, test reviews, or release-readiness reviews + Experience leading at least one workstream, team, or end-to-end solution component from requirements through implementation + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future + Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: + Experience working with at least one major cloud platform, such as AWS, Azure, or GCP + Experience using one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable tools + Experience applying at least two MLOps or AI delivery practices such as deployment pipelines, monitoring, experiment tracking, model governance, or containerization + Experience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architectures + Experience using BI, reporting, or visualization tools to support adoption, operational visibility, or business insight generation + Experience coaching junior team members and reviewing technical deliverables for quality, accuracy, and completeness + Familiarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controls + Experience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communication + Strong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiences + Government consulting experience The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.