Senior AI Solutions Architect

Job Description

Job Description

The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks:

The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor’s or master’s degree in Computer Science or a quantitative field

1. Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture;
2. Designing, developing, and maintaining infrastructure and backend applications;
3. Providing expertise on defining the role of broadband and wireless applications;
4. Providing definition of current State architecture blueprints;
5. Providing expertise with web servers, gateways, application servers, and content
6. management systems;
7. Providing experience in web application technologies and middleware solutions;
8. Researching new technologies and products for their applicability to business processes;
9. Comparing various solutions and determining the most suitable; and
10. Ensuring that development efforts are well-planned and in compliance to standards.

Education: This position requires a Bachelor’s degree from an accredited college or university in

Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A

Master’s degree is preferred.)

General Experience: The proposed candidate must have at least ten (10) years of experience planning,

designing, building, and implementing IT application systems. This individual must have led or been

chief architect in a major IT applications implementation effort. This individual must also have a strong

background in software engineering principles and techniques.

Specialized Experience: The proposed candidate must have at least six (6) years of experience in

designing medium to large-scale sites, and management of at least five Internet projects.

1. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures.
2. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks.
3. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices.
4. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps).
5. Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer.
6. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF).
7. Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture.
8. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions
9. At least five (5) years of experience with JavaScript frameworks such as Node.JS
10. Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON.
11. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container.
12. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies
13. Experience with architecting and developing mobile applications for ios or android platforms is a plus.
14. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor