AI Engineer

Role: AI Engineer

Location: Hybrid 2-3 days - Dallas, TX

Exp: 5-8+ years

Job Description:

Experience Range: With at least 5 to 8 years of experience in architecture design and application development, including proven leadership in end-to-end solution design initiatives.

Required Skills:

1. Advanced proficiency in application design and enterprise solution architecture

2. In-depth knowledge of architectural frameworks such as TOGAF or Zachman

3. Expertise in creating technical documentation and architecture diagrams

4. Strong skills in data modeling and storage design for distributed systems

5. Experience in planning and executing system migrations

6. Design and implementation of role-based security models

7. Microservices architecture and RESTful API design

8. Technology evaluation and selection for large-scale projects

9. Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud

10. Integration pattern implementation for enterprise systems

Preferred Skills:

1. Proficiency with containerization tools such as Docker and Kubernetes

2. Experience designing and implementing CI/CD pipelines using DevOps practices

3. Knowledge of event-driven architecture and enterprise messaging systems

4. Familiarity with Infrastructure as Code tools like Terraform or AWS CloudFormation

5. Expertise in performance tuning and system scalability

6. Understanding of data governance and regulatory compliance frameworks

Desired Qualifications:

1. Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related field 2. Certification in TOGAF, AWS Certified Solutions Architect, or Azure Solutions Architect Expert relevant to enterprise architecture roles