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Added 1 month ago
Y
Data Architect
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 1 month ago
V
Data Architect
VySystems
Toronto, ON
- Full-time
Job Summary We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale…
Added 1 month ago
JG
Data Architect
J&M Group
Toronto, ON
- Contract
Azure Solutions Architect / Databricks certifications
Added 1 month ago
JG
Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
AWS Certifications (Solutions Architect / Data Analytics)
Added 1 month ago
S
AI Architect
SPECTRAFORCE
Toronto, ON · North York, ON
- Contract
Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI).
Added 1 month ago
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Data Solution Architect
Bombardier
Dorval, QC
- Full-time
Azure Solution Architect, Databricks Data Engineer/Architect, or equivalent certifications are considered assets
Added 1 month ago
JG
Azure Solution Architect
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Azure Solution Architect to support the design and delivery of enterprise-scale cloud solutions on Microsoft Azure.
Added 1 month ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
…design the lakehouse and build it yourself. It is not a pure architect position, and there is no separate team to hand your designs to. If you want to write code every week and still own…
Added 1 month ago
TC
Senior Solution Architect (Data & AI Solution Specialist)
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
Added 1 month ago
PI
Solution Designer, Total Fund Solutions
PSP Investments | Investissements PSP
Montreal, QC
- Full-time
…particular focus on Web application solutions, Snowflake and Databricks data solutions, integrations, APIs, and AI-enabled…
Added 1 month ago
D
Manager, Supply Chain & Network Operations - Enterprise Architect & Delivery Leader
Deloitte
Toronto, ON
- Full-time
…EAM, AVEVA Connect, Cognite, Siemens Opcenter, Hexagon, or…
Added 1 month ago
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Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
- Full-time
Architect and deliver data ingestion, transformation, and integration pipelines using Fabric, Azure Data Factory, Spark, and SQL.
Added 1 month ago
D
Master Data Management & Engineering - Sr Consultant
Deloitte
Toronto, ON
- Full-time
As a Master Data Management & Engineering – Architect/ Specialist on our Data Modernization & Analytics team within the AI & Data practice, you are passionate about data and technology…
Added 1 month ago
D
Manager - Azure AI Engineering
Deloitte
Toronto, ON
- Full-time
Integration with data platforms (Fabric, Databricks, ADLS)
Added 1 month ago
D
Network Security Architect
Deloitte
Calgary, AB
- Full-time
As a seasoned network security architect, you will lead a team of consultant, be a trusted advisor to drive deep technical advisory engagements for Deloitte’s clients. Leverage your deep…
Added 1 month ago
Solutions Architect
Appnovation Technologies
Toronto, ON
We are seeking a Principal Solutions Architect to define the architecture for a governed, zero-copy, cross-cloud data platform, establishing the design standards and integration priorities…
Added 1 month ago
PS
Solution Designer, Total Fund Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
…particular focus on Web application solutions, Snowflake and Databricks data solutions, integrations, APIs, and AI-enabled…
Added 2 months ago
P&
Spécialiste en Ingénierie de données | Data Engineering Specialist
Pratt & Whitney
Longueuil, QC
- Full-time
Mettre en œuvre des architectures batch et streaming dans un environnement Databricks et AWS
Added 2 months ago
M
Technical Architect
Mphasis
Toronto, ON
- Full-time
Added 1 month ago
AI and Data - Data Architect (Databricks)
EY
Toronto, ON
We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Data Bricks,…
Added 2 months ago
A
Tech Data Delivery Lead
Accenture
Toronto, ON
- Full-time
…the morning and a technical design review with a client Chief Architect in the afternoon and be equally credible in both rooms. As a Technology Delivery Lead within our AI-Ready Data tower,…
Added 2 months ago
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Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Architect and manage Kubernetes-based platforms for training, inference, and application workloads, including GPU scheduling and autoscaling
Added 5 months ago
K
Manager, Data Platform(s) Architect, Data & AI
KPMG
Calgary, AB · Vancouver, BC
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 2 months ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect - Data Engineering, you will be the technical anchor…
Added 2 months ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output

Associate LLM Engineer (Forward Deployment)

Bay Adelaide Centre, East Tower 22 Adelaide Street West, Suite 2720, Toronto, ON, M5H 4E3, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Aug 18, 2027
Experience: 1-5 years of experience in software development, with relevant work experience in LLM app development.
Posting language: English
Posted: Aug 18, 2026

Original job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

LLM Engineer - Forward Deployment

We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems.

What You’ll Do:

Take ownership of architecture design and development of scalable and distributed software systems
Translate business to technical requirements
Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
Data driven decision making skills with focus on achieving product goals
Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

What You'll Bring:

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
1-5 years of experience in software development, with relevant work experience in LLM app development.
Strong coding skills with proficiency in Python and Javascript
Experience with API frameworks both stateless and stateful such as Fast API, Django
Proficient in cloud platforms, specifically AWS, Databricks and Azure
Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
Hands-on experience with Databricks solutions including Unity Catalog.
Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.
Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Experience of SDLC and best practices while development
Experience with Agile methodology for continuous product development and delivery
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

Hybrid working model:

ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

How you’ll grow:

Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com

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More about this job

Responsibilities

Design and develop scalable LLM-based pipelines and distributed software systems while ensuring code quality and performance. Collaborate with cross-functional teams to translate business requirements into technical solutions and manage the complete software development lifecycle.

Requirements

Requires a bachelor's degree in computer science or a related field and 1-5 years of software development experience with a focus on LLM applications. Proficiency in Python, cloud platforms like AWS/Azure/Databricks, and DevOps practices is essential.

Skills

Python
LLM solution development
RAG
Vector DB
Agentic workflows
AWS
Databricks
Azure
DevOps
Terraform
Docker
Kubernetes
React JS
Next JS
Prompt engineering
Langchain

Benefits

Health and well-being programs
Financial future planning
Professional development
Skills-building programs
Internal mobility paths

Visa sponsorship

Not detected in the job text

Keywords

LLM
Python
RAG
Vector DB
Agentic workflows
AWS
Databricks
Azure
DevOps
Docker
Kubernetes
Terraform
React JS
Next JS
Langchain
Prompt engineering
Software development
Agile
Scrum
Unity Catalog
API frameworks
Fast API
Django
Cloud computing
Infrastructure as Code
Machine learning
Data engineering
System architecture
Responsible AI
Software lifecycle

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