SME Data Engineer -AI Specialist

Zenith System Solutions; Waterloo; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company in Waterloo is seeking a Senior Data Engineer - AI Specialist to drive Gen AI initiatives from pre-production to production. The role involves collaboration across teams and requires a strong background in Data Engineering, AWS, and AI technologies. Ideal candidates will have experience with Gen AI application development and a keen interest in Quality Engineering.

Qualifications

• Strong background in Data Engineering and AWS Cloud.
• Experience with AI / Gen AI technology and database technologies.

Responsibilities

• Build, test, train, validate and deploy GenAI initiatives.
• Collaborate with multiple technology teams to drive outcomes.

Skills

Data Engineering

AWS Cloud

AI

Gen AI

SQL

Java

Python

Tools

Glue

RedShift

Lambda

EC2

Sagemaker

Titan

Bedrock

Job description

Zenith System Solutions is an IT software and services provider specializing in telecom and financial services. With over 200 experts worldwide, we offer custom software services in domains like 5G, IoT, Data and AI, Cloud Digital transformations, and integration. Our value proposition includes 25 years of Telecommunications experience, long-term customer relationships, and cost-effective integrated solutions with global presence.

Role Description

This is a contract Senior Data Engineer - AI Specialist role located in Waterloo, ON. The Data Engineer will be responsible for bringing QE AI / Gen AI initiatives to a seamless path to production, in collaboration with GEN AI CoE and other partner teams. Multiple use cases and pilots are being planned in the enterprise QE domain and the incumbent will provide support in the following areas :

• Build, test, train, validate and deploy GenAI initiatives from the pre-prod to production environments.
• Build user-friendly documentation to support these Gen AI initiatives.
• Tight collaboration with Gen AI CoE as well as demo of GenAI capabilities to partners and stakeholders.
• Understand the current QE Analytics frameworks, research industry trends and how it can be optimized further to address the gaps for Generative application validation.
• Provide support on POCs of new technology and tooling that can bring innovation and speed to Quality Engineering and continuous testing practices for AI / Gen AI enabled applications.
• Work collaboratively with multiple technology teams within Quality Engineering, Gen AI CoE, Data & Analytics, Enterprise DevOps, Performance Engineering, Problem Management and relevant BU teams to support existing / new initiatives and drive expected outcomes.

Qualifications

• Strong background and experience with Data Engineering, AWS Cloud and AI / Gen AI technology.
• Strong knowledge in database technologies and programming knowledge in SQL, Java, Python and AWS technologies such as Glue, RedShift, Lambda, EC2, Sagemaker, Titan, Bedrock.
• Understanding of Gen AI application development and processes in the Insurance industry.
• Background with QE Testing, DevOps, Business intelligence / analytics is an asset.
• Understanding of industry Gen AI engineering & emerging practices.
• A demonstrated interest in Quality Engineering for DevOps, Data & Analytics.

Seniority level

Mid-Senior level

Employment type

Contract

J-18808-Ljbffr

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Ai Engineer • Waterloo, Region of Waterloo, Canada