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GCP & AI Practice Architect II

TEKsystems

Posted Tuesday, June 3, 2025

Posting ID: JP-005323485

Chicago, IL
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Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.


We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.


Ready to join us?


Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:


Position Overview


The GCP & AI Practice Architect II possesses 5+ years of experience developing and architecting with GCP solutions and 10+ years in the Machine Learning, Advanced Analytics, Data Engineering and Data Governance. This position is responsible for the development of data and AI solutions utilizing Google Cloud Data services. The candidate must be well versed in multiple cloud platforms and be a motivated technologist with a proven track record of delivering results in software/technology consulting.


This role can be based remotely across the U.S. and requires up to 50% travel to customer sites per need.


Responsibilities


• Technical liaising between customers, development & support teams for Data & AI

• Hands on experience in building proof of concepts (POCs) to actively demonstrate GCP Data and AI stack across several enterprise customers

• Architect and implement hands Distributed ML, High Volume Data into Google Cloud

• Participating in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform

• Conducting deep dive “hands-on” education/training sessions to transfer knowledge to customers considering, or already using GCP

• TEKsystems Global Services as the partner of choice for GCP solution implementation

• Support Sales and Pre-Sales to convert opportunity to revenue through thought leadership

• Drive consensus across cross functional team to deliver Google Cloud Data & AI engagements


Minimum Qualifications


• At least 5 years of proven experience in designing and delivering Data Architecture, Data Strategy, Data Management, Data engineering, AI Architecture, MLOPS

• Strong programming experience in at least one object-oriented programming (Java, Python, Scala)

• Must possess Active GCP Professional Certifications

• Experience in architecting System Design for large Data & AI Modernization

• At least 1 year of experience in Generative AI using any Hyperscalers using techniques including RAG, Prompt engineering and fine tuning a custom model from market place

• Excellent presentation skills - At least 2 years of experience in presentation skills, story boarding, and influence senior leadership towards decision

• At least 5 years of experience in software/technology customer facing role

• Degree in a technical discipline, such as Computer Science or Math

• At least 10 years of total IT experience


Nice to Have


• Experience in implementing big data and Lakehouse solutions using Databricks

• Experience in implementing Kubernetes, Dockers, DevOps principles

• Deep understanding of other cloud architectures including Azure, AWS cloud, IBM Bluemix and differentiating factors between the components

Compensation:$190000

Contact Information

Recruiter: John Howlett

Email: jhowlett@teksystems.com

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Salesforce Developer
Hybrid
Customer Service
Mathematics
Sales
Operations
Leadership
Presentations
Python (Programming Language)
Java (Programming Language)
Influencing Skills
Computer Science
Microsoft Azure
Advanced Analytics
DevOps
Amazon Web Services
Kubernetes
Artificial Intelligence
Systems Design
Data Governance
Data Management
Generative Artificial Intelligence
Knowledge Transfer
Machine Learning
Thought Leadership
Big Data
Business Intelligence
Customer Success Management
Object-Oriented Programming (OOP)
Google Cloud Platform (GCP)
MLOps (Machine Learning Operations)
Data Engineering
Data Strategy
Data Architecture
Scala (Programming Language)
Databricks
Technology Strategies
Storyboarding
Cloud Computing Architecture
Prompt Engineering
IBM Bluemix

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