Description

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).

● Design secure 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 GCP)

Key Skills

Education

Bachelor's degree