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Architects and operates enterprise AI data platforms supporting vector search, RAG, LLM applications, and Agentic AI. Establishes data governance, lineage, traceability, explainability, and evaluation controls. Partners with engineering, cybersecurity, infrastructure, and mission stakeholders to deliver secure cloud-native capabilities. Leads technology evaluation, platform monitoring, operational reliability, and executive communication. Requires extensive experience in AI/ML platform development, distributed systems, cloud architecture, data engineering, MLOps, and enterprise data systems, along with an active Top Secret/SCI clearance with polygraph.

Leads systems engineering integration across requirements, architecture, design, implementation, and testing. Develops technical and systems engineering documentation, guides feasibility studies and planning, resolves technical issues with government stakeholders, and ensures deliverable integrity. Supports Scrum and SAFe/Agile ceremonies, including sprint reviews, Inspect and Adapt, and Program Increment planning. Requires active TS/SCI with Polygraph and substantial systems engineering experience.

Improves and aligns enterprise processes using process improvement and engineering methodologies. Facilitates project teams, coordinates process and practice transfers through training and knowledge sharing, and integrates engineering efforts across multiple teams. Responsibilities include change management, methodology development, acquisition lifecycle process engineering, organizational development, activity and data modeling, and business management techniques.

Designs, develops, and maintains enterprise-scale Apache NiFi data flows for secure data onboarding, integration, transformation, and governance. Develops custom Java processors, controller services, APIs, and validation components; integrates databases, APIs, messaging systems, Kafka, and cloud storage. Optimizes clustered pipelines, implements metadata and security controls, supports Zero Trust requirements, troubleshoots complex data movement issues, and mentors engineers while contributing to architecture, standards, and documentation.

Designs, develops, and maintains enterprise Apache NiFi data flows and custom Java processors for secure, scalable data integration. Responsibilities include building ingestion pipelines, integrating APIs, databases, message queues, Kafka, and cloud storage, managing metadata and governance, optimizing clustered deployments, and implementing Zero Trust security controls. The role supports complex data onboarding, transformation, validation, workflow automation, and enterprise architecture initiatives.

Develop and manage end-to-end development environments, perform system trade analyses, and create system design alternatives optimized for lifecycle cost, reuse, complexity, risk, expansion, and growth. The role also involves Agile Scrum Master responsibilities, technical documentation, and collaboration within an Agile software development environment using Jira and Confluence.

Supports an IC-wide mission environment and software engineering project by administering Linux systems and Kubernetes-based platforms. Responsibilities include container tooling, Bash scripting, system administration, networking, storage, authentication, security compliance, physical server administration, and classified-network support. The role may also use Python, Ansible, Salt, VMware, encryption, and key-management technologies, while requiring Security+ certification and potentially SYS3 clearance.

Support the corporate storage team by monitoring and managing backup systems, onboarding servers and virtual machines, configuring backup solutions, troubleshooting backup appliances and storage arrays, and resolving SAN issues through command-line troubleshooting and zoning. Collaborate with customers and the ISSO on break-fix coordination, vulnerability patching, and SSP reauthorization. Participate in a scheduled rotational after-hours on-call rotation.

Develops, troubleshoots, and supports enterprise Oracle database applications using advanced SQL and PL/SQL. Responsibilities include debugging production issues, optimizing database code, maintaining data feeds and integrations across NiFi, AWS, APIs, and files, performing data validation and reconciliation, supporting deployments and incidents, tuning performance, and collaborating with DBAs and infrastructure teams on RAC, recovery, Data Guard, security, and operational reliability.

Designs, develops, and maintains ETL/ELT pipelines, APIs, and data integration services for analytics, reporting, and operational needs. Responsibilities include data mapping, transformation, validation, ingestion automation, performance optimization, cloud architecture support, metadata and lineage implementation, workflow documentation, and collaboration with data governance and security teams. The role also supports source analysis, requirements gathering, interface design, testing, deployment, and enterprise data catalog initiatives.