Jobs at Expression Networks, LLC

Designs, develops, integrates, and evaluates secure enterprise AI and LLM capabilities for DHS. Responsibilities include building multi-agent workflows, RAG pipelines, intelligent document processing, AI evaluation frameworks, secure data integrations, observability, testing, and production-quality cloud-native applications. The role collaborates with architects, data engineers, and government stakeholders to deliver reliable AI solutions for investigative analysis, information retrieval, report generation, and decision support.

Leads the architecture, development, and integration of secure enterprise AI and LLM applications for DHS. Designs multi-agent workflows, RAG systems, governed data integrations, secure APIs, evaluation frameworks, observability, and human oversight. Provides hands-on Python development, architecture and code reviews, technical documentation, stakeholder collaboration, mentoring, and delivery leadership in a highly regulated government environment.

Designs and maintains secure enterprise data integrations supporting AI and LLM applications for DHS. Develops APIs, connectors, schemas, retrieval services, data-quality controls, permission-aware access, lineage, audit logging, and automated tests across platforms such as Palantir, Databricks, and Elasticsearch. Collaborates with AI engineers, platform owners, cybersecurity teams, and government stakeholders to deliver reliable RAG workflows, governed data services, documentation, CI/CD, and operational deployments.

Supports functional and regression testing for Pega applications within the DEA ICDE modernization program. Designs and executes test cases, validates requirements and user stories, documents defects and results, maintains QA artifacts, supports user acceptance testing, and participates in Agile ceremonies. Collaborates with developers, business analysts, and senior QA professionals to identify risks, retest fixes, and promote software quality throughout the development lifecycle.

Leads the design, deployment, and operation of secure Azure infrastructure and CI/CD pipelines across commercial, government, and classified environments. Develops Infrastructure as Code, manages Kubernetes and container platforms, implements security and compliance controls, and supports monitoring, incident response, backup, and recovery. Partners with engineering, security, and government stakeholders to resolve issues, document operations, improve reliability, and guide junior DevOps engineers.

Owns the architecture, roadmap, integration, and evolution of the FSDS cloud platform across Azure Commercial and classified Azure Government environments. Defines shared platform services, standards, target-state designs, and integration patterns while guiding DevOps, security, operations, application, and data teams. The role supports infrastructure planning, platform upgrades, resilience, observability, RMF/ATO activities, and technical stakeholder decisions. It requires active Secret clearance, strong Azure architecture experience, and the ability to lead platform strategy without performing day-to-day implementation.

Implement and maintain secure Azure infrastructure, Infrastructure as Code, container platforms, and Azure DevOps CI/CD pipelines across commercial and classified environments. Troubleshoot deployments, automate repeatable processes, apply security controls and STIGs, support RMF and ATO activities, and maintain monitoring, logging, backups, documentation, and operational runbooks. Collaborate with developers, engineers, system administrators, and security personnel on releases, incident response, remediation, and production operations.

Designs, develops, deploys, and optimizes generative AI systems for customer missions. Responsibilities include end-to-end model development, data preparation, evaluation, deployment, prototyping emerging AI technologies, prompt engineering, and LLM/RAG product development. The role collaborates with program, product, architecture, and data teams, conducts independent research, mentors junior staff, and delivers scalable AI solutions in a collaborative environment.

Owns the federal contracts function across the full contract lifecycle, including proposal support, negotiations, awards, administration, compliance, modifications, subcontracting, reporting, and closeout. Partners with business development, finance, program management, security, legal, and executive leadership to manage risks and obligations. Supports teaming agreements, proposal submissions, FAR and DFARS compliance, audits, contract vehicles, and subcontractor administration.

Supports and progressively leads federal proposals, RFIs, RFPs, task orders, and white papers from kickoff through submission. Manages compliance matrices, schedules, contributors, document production, version control, color-team reviews, editing, and quality assurance. Uses AI-enabled tools to analyze requirements and draft content while verifying accuracy and compliance. Maintains proposal libraries and coordinates stakeholders under compressed deadlines.

Designs, implements, administers, and optimizes enterprise storage, SAN, backup, and disaster recovery infrastructure across on-premises and government cloud environments. Troubleshoots advanced storage and data protection issues, performs capacity and performance analysis, tests recovery capabilities, develops technical documentation, ensures cybersecurity and regulatory compliance, and communicates technical recommendations to stakeholders. The role requires DoD IT experience, active Secret clearance, and hands-on expertise with technologies including Fibre Channel, NetBackup, AWS Backup, and Azure Recovery Services.

Perform Azure cloud operations and systems administration across Commercial, Government, and Secret environments. Responsibilities include patching, monitoring, backup and recovery, identity and access management, cloud networking, scripting, vulnerability remediation, STIG compliance, SIEM monitoring, ATO and POA&M support, database administration, classified system operations, cost optimization, incident resolution, and technical documentation. The role requires maintaining secure, available production systems supporting NTIA spectrum-management applications.

Conduct electromagnetic spectrum engineering and RF analysis for military and government systems. Evaluate commercial wireless deployments, system parameters, interference risks, and spectrum compatibility. Develop validation criteria, analytical methodologies, engineering recommendations, and technical reports. Maintain spectrum data and documentation, support deconfliction and equipment certifications, validate analytical tools, and collaborate with government and engineering stakeholders. The role is onsite at Fort Meade and requires Secret clearance with Top Secret eligibility.

Develop, test, deploy, and maintain Java applications supporting the DEA’s secure investigative case-management ecosystem. Collaborate with Pega developers, QA engineers, DevOps teams, and stakeholders in Agile delivery. Support CI/CD pipelines, application integrations, monitoring, troubleshooting, code reviews, testing, documentation, and secure software practices aligned with federal cybersecurity and compliance requirements.

Designs and maintains scalable ETL pipelines for structured and unstructured data, supporting DEA legacy-data migration, validation, integration, and modernization. The role improves data quality, interoperability, reliability, and cloud-platform performance while preparing data for analytics and AI/ML use cases. Responsibilities include source-to-target mapping, troubleshooting, documentation, stakeholder collaboration, and participation in Agile development.

Design, build, test, and maintain front-end and server-side applications using JavaScript/TypeScript (React, Node.js). Ensure responsive, high-quality code, debug issues, work across cloud environments and databases, and produce technical documentation.

Designs and deploys scalable data pipelines, preprocessing workflows, feature-engineering services, and machine learning models for secure Department of Defense environments. Develops reproducible, tested, containerized data and ML services using Python, Spark, Databricks, Docker, Terraform, SageMaker, and MLflow. Performs exploratory analysis, visualization, data storytelling, model evaluation, and decision-support development while collaborating with product, software, platform, DevSecOps, data science, and mission teams.

Provides architectural guidance and technical standards for secure, scalable data, analytics, and AI/ML platforms. Designs and operationalizes pipelines, data products, MLOps workflows, integrations, governance, CI/CD, monitoring, and data-quality practices across Databricks and Palantir Foundry. Guides teams in moving prototypes to production, optimizing Spark workloads, implementing secure data sharing, and resolving architecture and performance issues. Collaborates with engineering, data science, security, BI, platform, and mission stakeholders in cleared environments.