Platform Architect

Akkodis•San Jose, CA

33d•$60 - $64

About The Position

Akkodis is seeking a Platform Architect for a Contract with a client in San Jose, CA/ Lehi, UT. The ideal candidate will design and optimize cloud-based AI/ML data systems while leading architecture and implementation of full ML pipelines in Azure. Rate Range: $60/hour to $64/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Platform Architect job responsibilities include: Design and optimize cloud-based AI/ML data systems to ensure scalability, security, and performance. Lead architecture strategy and implementation for end-to-end ML pipelines on Azure. Collaborate with cross-functional teams to align cloud architecture with business and technical requirements. Implement MLOps best practices for automation, monitoring, and continuous integration of ML models. Ensure compliance with data governance and security standards across all cloud-based AI/ML solutions. Create architecture diagrams and documentation to communicate design decisions and facilitate knowledge sharing. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at [email protected]. Pay Details: $60.00 to $64.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.modis.com/en-us/candidate-privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Bachelor's degree in computer science (mandatory).
7+ years of experience in cloud architecture and 5+ years in data engineering.
Proven expertise in designing and implementing AI/ML pipelines on Azure with strong knowledge of MLOps.
Hands-on experience with Databricks, Spark, Python, and SQL for building scalable cloud-based AI/ML solutions.

Responsibilities

Design and optimize cloud-based AI/ML data systems to ensure scalability, security, and performance.
Lead architecture strategy and implementation for end-to-end ML pipelines on Azure.
Collaborate with cross-functional teams to align cloud architecture with business and technical requirements.
Implement MLOps best practices for automation, monitoring, and continuous integration of ML models.
Ensure compliance with data governance and security standards across all cloud-based AI/ML solutions.
Create architecture diagrams and documentation to communicate design decisions and facilitate knowledge sharing.