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Provides operational and engineering support for enterprise AI capabilities in secure Azure environments. Responsibilities include configuring AI services, managing access, developing CI/CD pipelines and infrastructure as code, implementing monitoring and alerting, troubleshooting production issues, coordinating root cause analysis, supporting security and compliance activities, and maintaining high availability and disaster recovery practices. The role also evaluates emerging AI and DevSecOps technologies, collaborates across technical teams, and maintains operational and governance documentation.

Leads enterprise learning and development initiatives by translating workforce needs into practical capability-building solutions. Designs, develops, facilitates, and evaluates learning experiences across consulting, project management, leadership, professional effectiveness, and collaboration. Partners with business leaders and subject matter experts, integrates learning with workforce and talent strategies, uses modern and AI-enabled learning approaches, and measures program effectiveness and business impact.

Supports enterprise applications by triaging incidents and requests, administering user access and configuration changes, troubleshooting workflows, validating releases, and assisting with testing. Maintains SOPs, FAQs, knowledge articles, and training materials while communicating with users, vendors, technical teams, and business stakeholders. Identifies recurring issues and process improvements to enhance application reliability, service performance, compliance, and user adoption.

Manage the full contract lifecycle for FEMA Public Assistance programs, including procurement, awards, administration, modifications, compliance, performance monitoring, payments, documentation, and closeout. Coordinate with FEMA, clients, contractors, subcontractors, and internal stakeholders to resolve issues and meet contractual objectives. Support proposals, pricing reviews, transitions, and provide guidance to contract administration staff in disaster recovery environments.

Develop and operationalize AI, machine learning, NLP, predictive analytics, and generative AI solutions for a federal enterprise data platform. Build reusable AI/ML patterns, agentic workflows, prompt orchestration, MLOps pipelines, monitoring, evaluation, guardrails, and human-in-the-loop processes using Azure, Databricks, MLflow, and Python. Collaborate with engineering, security, governance, and business stakeholders to deliver scalable, trustworthy, governed, and production-ready AI capabilities.

Supports disaster management grant programs through financial and administrative tasks, data accuracy reviews, reporting, data visualization, client communication, application and project implementation support, research, and development of procedures. The intern assists case managers, grant administrators, and specialists while organizing and analyzing information for government-funded disaster recovery and resilience programs.

Supports business development and capture activities through meeting documentation, sales and marketing content creation, market and procurement research, competitor monitoring, CRM and pipeline updates, and proposal materials. Collaborates with business development leads, proposal managers, and technical experts on government consulting pursuits and special projects. This is a 10-week, full-time hybrid internship in Reston or Arlington, Virginia.

Supports sustainable mobility initiatives through employer and community engagement, stakeholder relationship building, outreach, presentations, meetings, and public events. Promotes transportation programs involving micromobility, ridesharing, microtransit, shared mobility, and clean transportation. The intern conducts outreach, identifies promotional opportunities, facilitates engagement activities, travels to stakeholder worksites, and collaborates with project teams to achieve established goals.

Builds and maintains cloud data pipelines, transformations, semantic views, conformed dimensions, and analytical data models. Implements data quality controls, lineage, documentation, testing, release-readiness evidence, and defect resolution. Collaborates with data owners, governance teams, engineers, security stakeholders, data scientists, and customers to deliver reliable, governed data products supporting analytics, reporting, self-service BI, and AI/ML use cases.

Supports the Growth Enablement team with business development operations, proposal content, client-facing materials, research, and content-library updates. Creates editable PowerPoint graphics, translates technical concepts into compelling visuals, and explores AI tools for content development. The intern works with business development writers and subject matter experts while gaining exposure to utility-industry solutions and client business development activities.