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HomeCompaniesDark Wolf SolutionsAI Lead Software Architect

AI Lead Software Architect

Dark Wolf Solutions · Chantilly/Herndon, VA · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyDark Wolf Solutions
TitleAI Lead Software Architect
Normalized title-
Department / teamData & AI
LocationChantilly/Herndon, VA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-27 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Dark Wolf Solutions.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Chantilly/Herndon.Open
Department jobsActive postings in Data & AI.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDark Wolf Solutions
Source266ae222-3678-4734-89f8-3005ed076df5
ATS providerGreenhouse

Description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges. Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of AI Lead Software Architect to drive enterprise cloud data and AI initiatives. This role will focus on delivering scalable, secure, and high-performance platforms supporting advanced analytics and AI workloads. Architect and build enterprise-grade Agentic AI applications that combine LLMs, retrieval, structured data access, search, orchestration, and workflow automation. Required Qualifications: A degree in Computer Science, Information Systems, Engineering or related. 15+ years - Design and architect scalable AI platforms to develop and deploy AI solutions leveraging ML techniques and Deep Learning Techniques. 15+ years - Drive Joint Architecture Design to collaborate with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform. 15+ years - Architect and build enterprise-grade Agentic AI solutions that combine LLMs, retrieval, structured data access, search, orchestration, governance, compliance, and workflow automation. Optimize AI search experiences using platforms such as OpenSearch, and vector databases to support high-relevance, large-scale enterprise applications. Python, Spark, OpenSearch, Iceberg, Lakekeeper, ETL Frameworks experience. Desired Qualifications: Strong expertise in AWS, Azure, or GCP cloud platforms. Proven experience in architecting large-scale data ML/AI solutions. Hands-on implementation and leadership experience, driving AI innovation, software application development, ensuring scalability, performance, and data governance. Effective communication skills to collaborate with cross-functional teams and stakeholders. Primary customer liaison with oversight of multiple programs. Host and deliver demonstrations, inclusive of building prototypes, as required, supporting a variety of customer-driven capabilities demonstrations. Proven experience as an AI/ML platform architect. Deep understanding of ML algorithms, Deep Learning architecture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Expertise in hybrid cloud platforms (e.g., AWS, GCP, Azure) and their AI services. Strong knowledge of Model development life cycle, software engineering principles, data engineering principles. Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models. Ability to design and optimize distributed computing systems for AI/ML workloads. Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts. Excellent problem-solving skills and ability to address complex technical challenges. Position Clearance Requirement: TS/SCI with Full-Scope Polygraph Location: Chantilly/Herndon, VA. Equal Opportunity Employer: We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Full job record

Job IDdd2c29ad44e81e6e11c10fc62bfc3eb09e29f6ca
Org IDe42c39cf-8918-4993-96d8-b4a900d6e3a8
Source ID266ae222-3678-4734-89f8-3005ed076df5
Board ID266ae222-3678-4734-89f8-3005ed076df5
Providergreenhouse
Provider Job Key7748609003
TitleAI Lead Software Architect
Normalized Title
Statusactive
Activeyes
Location TextChantilly/Herndon, VA
DepartmentData & AI
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionVA
CityChantilly/Herndon
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/darkwolfsolutions/jobs/7748609003
Apply URLhttps://job-boards.greenhouse.io/darkwolfsolutions/jobs/7748609003
First Seen At2026-05-29 22:40:31Z
Last Seen At2026-06-06 19:41:34Z
Last Checked At2026-06-06 19:41:34Z
Last Changed At2026-05-29 22:40:31Z
Inactive At
Source Posted At2026-05-27 17:58:10Z
Source Updated At2026-05-27 17:58:10Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=darkwolfsolutions/date=2026-06-06/2026-06-06T19-41-34-812Z-51d70e84ac799600f723dab943352701012ce17cb59e27f4a7db33f5234c90c2.json
Event Fields
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  "last_changed_at": "2026-05-29T22:40:31.364Z",
  "active_status": "active"
}
Parsed Structured
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    "confidence": 0.85
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  "inferred_at": "2026-06-06T19:41:34.972Z",
  "launch_scope": {
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}
Extensions
{}
Native Structured
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  "updated_at": "2026-05-27T13:58:10-04:00",
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  "first_published": "2026-05-27T13:58:10-04:00",
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}
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