AI/ML Solution Architect

Minimum Qualifications - Education & Prior Job Experience

• • Bachelor's degree in computer science or related discipline or an equivalent combination of education and work experience

• • 4+ years of relevant work experience in an agile environment

• • Demonstrated expertise in at least one object-oriented language.

• • Previous experience supporting high performing Agile / DevOps teams.

• • Past experience coaching or mentoring others, in any context.

• • Hands-on experience with engineering practices such as object-oriented design patterns, Extreme Programming, cloud design patterns, TDD, BDD, refactoring, and automation

• • Experience with Continuous Integration and Continuous Delivery

• • Expertise in Agile methodologies like Extreme Programming, Kanban, or Scrum

• • Experience with implementing and operating DevOps tools/platforms across some part of the development lifecycle.

• • Working experience deploying and supporting business-critical, Internet scale distributed systems or high-volume client/server systems

• • Proven experience in SQL and ability to design relational database schemas

• • Ability to scrutinize provided architectures and suggest optimizations for deployment and minimizing the cost of change.

• · Preferred Qualifications - Education & Prior Job Experience

• • Experience building continuous integration/deployment pipelines.

• • Experience with any of the following:

• • The Testing Pyramid and how to effectively apply it

• Multi-threading and concurrency

• Debugging, performance profiling and optimization

• Object-oriented and service-oriented application development patterns

• • Experience with native/cross-platform Mobile development

• • Adept and comfortable communicating with team members and external business stakeholders of all levels

• • Demonstrated ability to find creative ways of improving and simplifying solutions, systems, and processes without getting bogged down in blockers or bottlenecks.

• • Experience in modern and classical neural networks including LLMs, CNNs and RNNs, Agentic AI and Autonomous Agents, RAG architecture, and MLOPs

Skills, Licenses & Certifications

• • Proficiency with the following technologies:

• § Programming Languages: Python, C#

• § Frameworks: Spring/SpringBoot, FastAPI

• § Front End Technologies: Angular/React

• § Deployment Technologies: Kubernetes, Docker

• § Source Control: GitHub, Azure DevOps

• § CICD: GitHub Actions, Azure DevOps

• § Data management: PostgreSQL, MongoDB, Redis

• § Integration/APIs Technologies: Kafka, REST, GraphQL

• § Cloud Providers such as Azure and AWS

• § Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq

• • Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity.

• • Ability to concisely convey ideas verbally, in writing, in code, and in diagrams.

• • Proficiency in object-oriented design techniques and principles

• • Proficiency in Agile frameworks and methodologies

• • Proficiency in DevOps Toolchain

• Language, Communication Skills, & Physical Abilities

• • Ability to effectively communicate both verbally and written with all levels within the organization

• • Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship.

• • Competencies :

• Caring

• Collaboration

• Development

• Results

• Future

• Must Haves:

• 8+ years of experience

• AI and ML experience

• Bachelor degree Computer Science

• Hands-on SW development experience

• Coaching experience

• TDD, Python

• Top Mandatory Skills and Experience: - 8+ years of experience - AI and ML experience - Bachelor degree Computer Science - Hands-on SW development experience - Coaching experience - TDD, Python