Senior Cloud AI Architect (780304)

Established in 1994, Nite Lines USA has successfully delivered contract support services to more than 144 government institutions and medical treatment facilities across the country. We're a dynamic and growing health care organization, offering a wide range of employment opportunities. We are seeking professionals and dedicated individuals to be part of our team, where integrity, respect, accountability, and collaboration are among our core principles. Work with a dedicated and caring organization and start doing your life's best work.

GTA Senior Cloud AI Architect (780304)

Pay rate: $74.51 per hour.

Temp (6 months+).

Job location: 45 Trinity, Atlanta, GA.

Hours: 8 hours per day, 5 days per week.

Must be local to Metro Atlanta.

Short Description:

• Plans and schedules team resources, status reporting and completion of required documentation for team assignment and projects.
• Analyzes and develops work or project plans for team assignments.
• Analyzes and implements solutions.
• Some supervisory duties.

JOB SUMMARY:

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 with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies.

Core qualifications:

• 10+ years of overall experience, including a minimum of 5 years of enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry.
• 5-8 years of hands-on technical application architecture experience, including application build and modernization.
• 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).
• Designsecures and compliant AI/ML solutions leveraging public cloud or hybrid environments.

Minimum qualifications:

Must meet one of the following requirements:

• Bachelor's degree in information technology, Computer Science, Data Science, or an 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.

Preferred qualifications:

• (Preference will be given to candidates who demonstrate some or all of the following skills/experience):
• AWS Certified Solutions Architect.
• Experience with state and local Government is a plus.
• Enterprise-wide integration experience for both cloud and AI solutions.
• Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.
• 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).
• Experience with AI ethics, bias mitigation, and responsible AI frameworks.
• Prior work with federal, state, or municipal digital transformation programs.
• Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform).