Senior Cloud AI Architect
DataStaff, Inc. is currently seeking a Senior Cloud AI Architect for a long-term contract opportunity with one of our direct clients in Atlanta, GA.
* This position is hybrid
Job Description:
The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI/ML expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and drive data-informed decision-making — all while maintaining compliance, transparency, and trust. This position requires advanced skills in multiple areas of architecture, with expert or specialized knowledge in cloud platforms and AI. The architect will communicate with stakeholders at all levels, support multiple teams and projects, and mentor other architects. A key responsibility is to work to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions.
Knowledge, Abilities and Experience:
- Bachelor's degree in Information Technology, Computer Science, Data Science, or equivalent work experience.
- At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms.
- Extensive experience architecting, designing, and programming applications to operate in AWS environments.
- Experience in developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services).
- Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions, leveraging public cloud or hybrid environments.
- Strong technical expertise in machine learning, deep learning, and natural language processing.
- Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch)
Preferred Qualifications:
- Enterprise-wide integration experience for both cloud and AI solutions.
- Knowledge of integration standards and best practices for cloud and AI systems.
- Understanding of public sector security and compliance standards (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53).
Required Skills:
- 10 Years - Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies
- 5 Years - Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry.
- 5 Years - Hands-on technical application architecture experience, including application build and modernization.
- 5 Years - Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services)
- 3 Years - Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.
- 3 Years - Experience with AI ethics, bias mitigation, and responsible AI frameworks
- 3 Years - AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch)
- 3 Years - Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments
- AWS Certified Solutions Architect
- Bachelor's degree in information technology, Computer Science, Data Science, or equivalent work experience.
Desired Skills:
- Experience with state and local Government is a plus.
- Certification in cloud architecture or AI specialties (AWS, Azure, or GCP).
This position is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.