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Cynet Systems · 2 months ago

Senior Cloud AI Architect

Atlanta, GA

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Cynet Systems is seeking a Senior Cloud AI Architect who will be responsible for designing and implementing secure, scalable, and ethical AI solutions to support government and public service missions. This role requires a combination of AI and machine learning expertise with architectural leadership to modernize public sector operations and improve citizen engagement.

EmploymentRecruitingStaffing Agency

Growth Opportunities

Responsibilities

Designing and implementing secure, scalable, and ethical AI and machine learning solutions

Architecting applications and cloud solutions in AWS environments

Evaluating and recommending AI platforms, frameworks, and tools such as platform-native machine learning solutions and common machine learning toolkits

Supporting multiple teams and mentoring other architects

Planning and scheduling team resources

Preparing technical documentation and status reporting

Supervising team members and supporting project execution

Qualification

AIMachine learning solutionsAWS cloud solutionsArchitectural leadershipCloud compliance frameworksNatural language processingCommunication skillsLeadership skillsMentoring technical teams

Required

Ability to design and implement secure, scalable, and ethical AI and machine learning solutions

Ability to evaluate and recommend AI platforms, frameworks, and tools

Ability to design secure and compliant AI and machine learning solutions in public cloud or hybrid environments

Strong communication and leadership skills

Ability to supervise, mentor, and support technical teams

Ten or more years of overall experience, including a minimum of five years of enterprise, full-life cycle architecture experience in the IT or software development industry

Five to eight years of hands-on technical application architecture experience, including application build and modernization

Extensive experience architecting, designing, and programming applications for AWS environments

Experience developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models

Proven experience in machine learning, deep learning, and natural language processing

Strong technical expertise in machine learning, deep learning, and natural language processing

Ability to evaluate, design, and optimize AI and cloud architectures

Knowledge of cloud compliance and security frameworks

Ability to lead and collaborate with cross-functional teams

Bachelor's degree in Information Technology, Computer Science, Data Science, or equivalent work experience

At least five years of progressive experience with concepts, philosophies, and tools related to application design, solution architecture, and cloud and AI or machine learning technologies