Director, Lead Solution Architect AI​/ML

Req : RQ210083

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Public Trust/Other Required: None

Job Family: Technical Solutions

Skills:

Cloud Platform,Data Science,Data Systems,PyTorch,Shipley Proposal Writing

Experience:

15 + years of related experience

US Citizenship Required:

Yes

Job Description:

Join GDIT’s Intelligence and Homeland Security (IHS) CTO organization and lead AI/ML technical solutioning for data-rich ecosystems in support of our customers’ most critical missions. This role as highly technical Director, Lead Solution Architect AI/ML, combines deep expertise in artificial intelligence, machine learning, data science, and modern software delivery with the strategic acumen of a solutions architect. The candidate will will analyze RFI and RFP requirements and develop responsive solutions including staffing and other costs, review solutions developed by others, present solutions to internal teams and clients, develop and explain use-cases and will work closely with capture and proposal teams.

Candidate will develop logical and physical architectures and designs. Candidate will author and lead proposal materials including writing proposal sections and diagrams and review the work of others in this area.

• Lead technical solution strategy throughout the Capture and Proposal lifecycle, from early Qualification through Proposal submission.

• Contribute to GDIT win strategies and lead the development of technical win themes and solution readiness plans.

• Engage current and prospective customers to understand critical needs, socialize and vet solutions, and advise on strategies to shape acquisitions that achieve desired results.

• Identify and select the best technical solutions and approaches to meet anticipated or actual acquisition requirements.

• Lead solution design and the development of key artifacts including, but not limited to architectural models, process diagrams, concepts of operation, staffing plans etc.

• Develop unsolicited technical recommendations, collateral and RFI/SSN responses to engage prospective customers and position GDIT to win.

• Collaborate with GDIT technical service areas and lines of business to identify and bring the best technical and business strategies and solutions to differentiate GDIT.

• Contribute to teaming strategies including identifying and vetting potential partners.

• Develop cost strategies, LOEs/BOEs/BOMs, and associated rationale.

• Ensure readiness of solution and proposal support team to prepare a compelling and compliant response to the government’s solicitation.

• Lead development of the Technical volumes and orals presentations for proposals.

• Coach and advise more junior solution architecture and proposal support resources.

• Ensure integration of technical solution with all sections and volumes of the proposal.

• Review proposals and provide critical feedback needed to strengthen our solution and proposals

• Author Technical volume introductions, key sections and orals slides including developing compelling graphics.

The candidate must possess the following skills:

• 10+ years of professional experience in data science and AI/ML engineering and/or Data Science.

• 15+ years of professional experence in federal proposal solutioning with successful captures in the Intelligence Community and/or Department of Homeland Security.

• Bachelor of Science in Computer Science, Information Technology, similar discipline or equivalent experience.

• Experience with contributing to Federal solicitation responses.

• Experience working with large data sets including data integration, data migration, analysis and visualization.

• Experience with cloud-native data analytic solution architectures.

• Experence with architecting end-to-end AI/ML systems, from data ingestion pipelines and feature stores to model training, evaluation, and deployment in production environments.

• Programming
  :
  Expert-level Python proficiency; strong familiarity with C++, Go, or Java for integration and performance-critical workloads.
• Frameworks
  :
  Tensor Flow, PyTorch, JAX, ONNX, Hugging Face Transformers, scikit-learn.
• Data Science
  :
  Num Py, pandas, Sci Py, scikit-learn, Lang…