What are the responsibilities and job description for the Senior Cloud AI Architect position at Ubertal Inc.?
Position Title: Senior Cloud AI Architect
Location: Atlanta, GA
Engagement Type: Contract
Work Mode: Hybrid (Onsite as directed by client)
Duration: May 2026 June 2026 (approx. 6 7 weeks, with potential extension)
Interview Type: Webcam or In-Person
Role Overview
A state government IT agency is seeking a Senior Cloud AI Architect to design and implement secure, scalable, and ethical AI/ML solutions supporting public sector operations. The role requires deep expertise in AWS cloud architecture and advanced AI/ML technologies, with the ability to lead technical teams, mentor architects, and collaborate with stakeholders across multiple agencies.
Key Responsibilities
Standard schedule: 8 hours/day, Monday Friday. Candidates must be local to the Metro Atlanta area. Hybrid arrangement with onsite availability required as directed.
Interested professionals may share their updated resume for consideration.
Location: Atlanta, GA
Engagement Type: Contract
Work Mode: Hybrid (Onsite as directed by client)
Duration: May 2026 June 2026 (approx. 6 7 weeks, with potential extension)
Interview Type: Webcam or In-Person
Role Overview
A state government IT agency is seeking a Senior Cloud AI Architect to design and implement secure, scalable, and ethical AI/ML solutions supporting public sector operations. The role requires deep expertise in AWS cloud architecture and advanced AI/ML technologies, with the ability to lead technical teams, mentor architects, and collaborate with stakeholders across multiple agencies.
Key Responsibilities
- Design, develop, and implement enterprise IT architecture, AWS cloud solutions, and advanced AI/ML systems across state agency environments
- Evaluate and implement solutions for private, public, and hybrid cloud models (IaaS, PaaS, and related cloud services)
- Architect secure and compliant AI/ML solutions leveraging public cloud or hybrid environments
- Recommend and implement AI platforms, frameworks, and tools (e.g., AWS SageMaker, Azure ML, Google Vertex AI, PyTorch)
- Develop and deploy generative AI (GenAI), LLMs, and chatbot solutions for public sector use cases
- Ensure AI solutions adhere to ethics, bias mitigation, and responsible AI frameworks
- Communicate with stakeholders at all levels; mentor and supervise junior architects
- 10 years of overall IT experience, including 5 years of enterprise full-life cycle architecture experience
- 5 8 years of hands-on technical application architecture experience, including application build and modernization
- Extensive experience architecting and deploying applications in AWS environments
- 5 years evaluating architectural alternatives across private, public, and hybrid cloud models
- 3 years working with AI/ML platforms and tools (AWS SageMaker, Azure ML, Google Vertex AI, PyTorch)
- 3 years designing secure and compliant AI/ML solutions in cloud or hybrid environments
- 3 years with GenAI, chatbot development, and LLM deployment for public sector use cases
- 3 years applying AI ethics, bias mitigation, and responsible AI frameworks
- AWS Certified Solutions Architect (certification upload required)
- Bachelor's degree in IT, Computer Science, Data Science, or equivalent work experience
- Experience with state or local government IT programs
- Additional cloud architecture or AI specialty certifications (AWS, Azure, or GCP)
- Knowledge of public sector compliance standards (FedRAMP, FISMA, NIST AI RMF, NIST 800-53)
- Prior involvement in federal, state, or municipal digital transformation initiatives
- Enterprise-wide integration experience for cloud and AI solutions
Standard schedule: 8 hours/day, Monday Friday. Candidates must be local to the Metro Atlanta area. Hybrid arrangement with onsite availability required as directed.
Interested professionals may share their updated resume for consideration.