Shared Solutions / Technical Enablement Lead

Job DescriptionShared Solutions / Technical Enablement LeadLocation: Baltimore, MD RemoteGeographic ReferencePosition OverviewThe Shared Solutions / Technical Enablement Lead is a senior engineer anchoring shared solutions and technical enablement while absorbing critical AI governance and security spillover across the portfolio. This role maintains the reusable technical asset library—code libraries, automation pipelines, and architectural patterns—to accelerate delivery and reduce redundancy across all ESSG ADOs. As the designated owner of the AI Compliance and Risk Management Plan, the role ensures all AI implementations meet NIST AI RMF standards, federal civil rights requirements, and client data portability mandates.Key ResponsibilitiesEstablish and maintain a library of reusable code, automation pipelines, and infrastructure patterns adoptable across all ESSG programsOwn and maintain the AI Compliance and Risk Management Plan, including pre-implementation approval and alignment with the NIST AI Risk Management FrameworkDevelop and maintain 'Developer AI Scorecard' inputs and AI governance documentation covering bias monitoring, data provenance, transparency, and civil rights compliance (Title VII, ADA, ADEA)Ensure all AI systems and data outputs use open, standard formats (JSON, XML) and APIs; prevent vendor lock-in and proprietary dependenciesSupport onboarding and operationalizing of new ADOs and vendors into the client environmentDevelop and maintain technical writing documentation and system architectural drawings in CLIENT-approved repositories (Confluence, GitHub)Design and deliver training, coaching, and knowledge-transfer activities for federal and contractor teamsEstablish, facilitate, and participate in Communities of Practice (CoP) and cross-ADO technical forumsConduct requirement, test plan, and validation reviews as part of QC activitiesServe as a security and AI subject matter resource, supplementing the DevSecOps Engineer on ISPG, MARS-E, and ARS-related tasks as directedQualifications & RequirementsBachelor's degree in computer science, Engineering, Information Systems, or related field; advanced degree preferred7+ years of senior software engineering or technical architecture experience with reusable-asset designDemonstrated ability to develop and maintain AI Compliance and Risk Management Plan artifactsFamiliarity with the NIST AI Risk Management Framework and responsible AI governance principlesStrong technical writing skills with a portfolio of system architectural drawings, runbooks, and onboarding documentationExperience facilitating Communities of Practice, technical training sessions, and cross-team knowledge transferWorking knowledge of ARS/FISMA, MARS-E, and Client information security requirements; ISPG experience a plusProficiency with Client enterprise tools (GitHub, Confluence, JIRA)Experience conducting code reviews, requirement reviews, and test plan reviews in an agile environment