Elder Research

Systems Architect (Hybrid)

Arlington, VA, US

Hybrid
Full-time
4 months ago
Save Job

Summary

Job Title: Systems Architect Location: Falls Church, Pentagon, Alexandria, or Arlington Workplace: Hybrid (must be able to commute to one of the above offices 2-3 times per week) Clearance Required: must have an active Top-Secret (TS) clearance (must be able to achieve a TS/SCI clearance with scope) Position Overview: Supports the Department of Defense's (DoD) Chief Digital and Artificial Intelligence Officer's (CDAO) Mission Analytics / Core Analytics Products, Search Products Portfolio, and Unstructured Data Search Enhanced by AI/ML (UD/SEAM). Major Duties/Tasks: Analyze and assess software development and data processing requirements and determine optimum, cost-effective solutions. Develop an understanding the technical requirements, aligning them to business goals, and then translating them into architectures capable of handling complex search queries across collections of large datasets, utilizing the Advana platform Support and work with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use search tools, analytical capabilities and/or devise a plan for development. Works with data scientists, UX designers, developers, and testers to compose cohesive and sound designs that form the basis of scalable solutions. Optimizes software designs and architectures to deliver desired performance targets and devises tooling and methodologies to profile execution and capture performance metrics Requirements: Required Education: Bachelors degree plus 5-7 years experience, or a Masters Degree plus 3 years of experience. Required Skills/Experience: Significant experience in one or more scripting languages such as Python or R, Proficient in one or more big data programming languages, such as Python, Scala, or Java Analyze and decomposes activities and requirements to software designs that are allocated across systems components/sub-components. Experience with Elasticsearch and related indexing technologies AI/ML model development, containerization, and productization experience Familiarity with natural language processing, the use of Large Language Models, and the use of both containerized and Apache Spark based computing environments (e.g. Databricks) for the processing of unstructured text data. Knowledge Graph construction and reasoning experience, to include experience with property graph model frameworks and Neo4J. Experience with cloud based computing environments such as AWS or GCS, especially experience with GovCloud, C2S, SC2S, UC2S and follow-on government cloud compute environments. Experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Experience with cyber security compliance, secure software development methodologies and the process for obtaining authority to operate (ATO) on defense and intelligence community networks. Experience leveraging existing COTS/GOTS/OS tools in unconventional manners. Experience with multi-intelligence and multi-domain systems and understanding of current object and activity-based models in the community. Preferred Skills and Qualifications: An active TS/SCI clearance Experience with: the DoDs CDAO, Advana, or other CDAO products Agile methodology AI-enhanced search AI/ML for information retrieval and insight extraction

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