Senior Cloud AI Architect
2 days ago
Job Summary
We are seeking a highly experienced
Senior Cloud & AI Architect
to lead the design and implementation of secure, scalable, and responsible AI-driven solutions for state and public sector agencies. This role blends advanced AI/ML expertise with enterprise architecture leadership to modernize government operations, enhance citizen engagement, and drive data-informed decision-making.
The ideal candidate will have hands-on experience with
cloud architecture (AWS preferred)
, enterprise application modernization, and deployment of
ethical AI/ML platforms
, including Generative AI and Large Language Models (LLMs). You will collaborate with cross-functional teams, advise leadership stakeholders, and support the development of next-generation cloud and AI capabilities across State Agencies.
Core Qualifications
- 10+ years
of overall IT experience. - 5+ years
of enterprise, full lifecycle architecture experience in IT/Software Development. - 5–8 years
of technical application architecture experience, including modernization initiatives. - Extensive experience architecting, designing, and developing applications in
AWS
environments. - Expertise evaluating cloud models (IaaS, PaaS, hybrid) and solutions architecture alternatives.
- Proven ability to design secure, scalable, compliant
AI/ML solutions
for cloud/hybrid environments. - Strong knowledge of
ML, Deep Learning, NLP
, and modern AI frameworks. - Experience with AI platforms such as
AWS SageMaker, Azure ML, Google Vertex AI, PyTorch
, etc. - Ability to design AI systems aligned with
responsible AI
, bias mitigation, and ethical standards.
Agency-Specific Minimum Qualifications
Must meet one of the following:
- Bachelor's degree in
Information Technology, Computer Science, Data Science
, or equivalent experience. - Minimum
5 years
of progressive experience in application design, solution architecture, AWS/Public Cloud, and AI/ML technologies.
Preferred Qualifications
- AWS Certified Solutions Architect
(Highly preferred — please upload certification). - Experience with
state or local government
programs. - Enterprise-wide cloud & AI integration experience.
- Hands-on experience with
chatbots, Generative AI (GenAI), and LLM deployments
for public-sector use cases. - Understanding of federal and state compliance standards:
FedRAMP, FISMA, NIST AI RMF, NIST 800-53
. - Experience implementing
AI ethics, risk management, bias mitigation
frameworks. - Prior involvement in digital transformation initiatives across federal, state, or municipal agencies.
- Additional certifications (AWS, Azure, GCP) in cloud or AI specialties.
Key Responsibilities
- Architect and implement advanced
AI/ML solutions
aligned with ethical and responsible AI principles. - Lead AWS cloud application design, modernization, and migration initiatives.
- Collaborate with GTA and State Agencies to define enterprise cloud and AI architecture standards.
- Evaluate and recommend AI tools, platforms, and frameworks.
- Mentor technical teams and guide multi-project architecture strategies.
- Ensure solutions comply with government security, transparency, and risk management standards.
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