Public Sector AI Lead & Solutions Architect

Jobtailor

Vienna (VA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Jobtailor in Vienna, VA seeks a Senior Principal Data Scientist - AI Lead to own end-to-end AI solution delivery for Public Sector / Government stakeholders. You will drive architectures and coordinate cross-functional teams to deliver trusted AI capabilities.

You will partner with U.S. government agencies on programs involving entity data, validation, and risk insight, shaping roadmaps and ensuring scalable, compliant deployments across federal IT environments.

Qualifications

  • Extensive data science and ML/AI development experience for enterprise-scale systems.
  • Proven leadership and ability to mentor and grow technical teams.
  • Experience delivering AI solutions in IT operations or automation contexts.
  • Strong communication skills with technical and non-technical stakeholders.
  • Ability to define roadmaps and align AI efforts with business goals.
  • Familiarity with ethical AI considerations and bias mitigation.
  • Hands-on expertise in Python, Java, or Go; cloud deployment experience.

Responsibilities

  • Serve as point of contact for Public Sector / Government stakeholders for AI delivery.
  • Lead end-to-end AI solution initiatives, including architecture, design, and deployment.

Skills

Data analysis and ML development
Leadership & mentoring
Strategic thinking & roadmaps
Stakeholder communication
Problem solving & critical thinking
Adaptability & continuous learning
Ethical AI & bias mitigation

Tools

AWS
Azure
GCP

Job description

Jobtailor in Vienna, VA seeks a Senior Principal Data Scientist - AI Lead to own end-to-end AI solution delivery for Public Sector / Government stakeholders. You will drive architectures and coordinate cross-functional teams to deliver trusted AI capabilities.

You will partner with U.S. government agencies on programs involving entity data, validation, and risk insight, shaping roadmaps and ensuring scalable, compliant deployments across federal IT environments.

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