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Added 2 hours ago
DATA & AI ENGINEER
iCreate Consulting
Engineer, BC
Full-time
Degree in Computer Engineering, Data Science, Artificial Intelligence or similar areas
Added 2 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI…
Added 2 days ago
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
Full-time
As Lead Software Engineer – AI, Data Visualization & Platform, you will help bridge architectural vision, product innovation, advanced visualization, and day-to-day engineering execution.
Added 19 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Collaborate closely with architects, data scientists, engineers and cross‑functional teams to design robust, scalable AI/ML solutions that integrate seamlessly with clients’ existing…
Added 4 days ago
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
We are looking for an AI Engineer to design, develop, and deploy production-grade Machine Learning and Generative AI
Added 4 days ago
Data Engineer – Data Platform (AI-Enabled)
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer – Data Platform (AI-Enabled) based in Canada.
Added 4 days ago
Data Engineer – Data Platform (AI-Enabled)
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer – Data Platform (AI-Enabled) based in Canada.
Added 5 days ago
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 12 days ago
Global Enterprise AI Sales Engineer – NVIDIA AI Data Platform
Hammerspace
Canada
Hammerspace is seeking a senior, customer-facing Global Enterprise AI Sales Engineer, Working hand in hand with the Global Enterprise Sales Executive, you will accelerate the adoption of…
Added 19 days ago
Lead Data and AI Quality Engineer
RBC
Toronto, ON
Full-time
We are seeking a Lead Data and AI Quality Engineering to join our Risk and Compliance team and take ownership of quality assurance for AI and Non-Financial Risk Reporting initiatives. This…
Added 20 days ago
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
Full-time
We are seeking an expert Lead Data & AI Engineer with 9 to 12+ years of experience to architect and deploy AI agents into business workflows, focusing on Databricks and AWS environments.…
Added 16 days ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 17 days ago
Backend Engineer - Real-Time Sports Data (Go / ClickHouse / AI-Native)
Betstamp
Toronto, ON
Full-time
Prediction market traders get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges.
Added 24 days ago
Agentic AI / Data Engineer - DC GPU
AMD
Oro-Medonte, ON
$156,000 to $234,000 USD / year
Full-time
…infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI…
Added 26 days ago
Senior Data & AI Engineer - Oil & Gas
Data Elephant
Canada
Contract
We are looking for a Senior AI/ML Engineers to join our team, that sit at the intersection of software engineering, data engineering, and applied AI.
Added 23 days ago
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
Full-time
…leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines…
Added 24 days ago
Agentic AI / Data Engineer - DC GPU
Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
Full-time
…infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI…
Added 1 month ago
AI Data and Integration Engineer
First National Financial LP
Toronto, ON · East York, ON
Full-time
We are hiring an AI Data and Integration Engineer, Application Development!
Added 1 month ago
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 1 month ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 1 month ago
AI/ML Data Engineer - Wealth Management and Financial Services
J&M Group
Toronto, ON
Contract
We are hiring for an AI/ML Data Engineer- Wealth Management and Financial Services. The role focuses on building cloud-based data platforms, scalable data pipelines, and AI/ML solutions…
Added 5 months ago
Manager, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 5 months ago
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 5 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 5 months ago
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…

AMD

Agentic AI / Data Engineer - DC GPU

Oro-Medonte, ON, Canada

Pay: $156,000 to $234,000 USD / year
Job type: Full-time
Apply by: Sep 26, 2026
Posting language: English
Posted: Aug 27, 2026

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Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

The Team

AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people.

The Role

AMD's Applied AI team works with the world's most demanding AI operators - frontier labs, NeoCloud providers, and AI-native companies - to make AMD Instinct GPU infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI applications running on AMD clusters, the data pipelines and memory/context databases that give those agents durable knowledge, and the skills frameworks and evaluation infrastructure that make agent behavior reliable, measurable, and safe.

Your work spans two surfaces. Externally, you build agentic systems and their data foundations on customer AMD deployments - the reference implementations customers adopt when they move from inference to agents. Internally, you build the Applied AI team's own intelligence layer: engagement memory databases, fleet and telemetry data pipelines, and agent-executable skills libraries that encode deployment knowledge so every customer engagement makes the next one faster.

This is a production engineering role. The systems you build run live, get depended on, and are held to production standards for quality, provenance, and security.

The Person

You are equal parts data engineer and applied AI engineer. You think about agents as data systems: what context they retrieve, what memory they accumulate, what tools they invoke, and how you would prove they behave correctly. You have shipped pipelines that other teams depend on and LLM applications that real users hit, and you know the difference between a demo agent and one that survives production. You hold strong opinions about context engineering, memory store design, and evaluation - and you can defend them with data.

Key Responsibilities

Build production agentic AI systems on AMD Instinct GPU infrastructure: agent orchestration, tool/function calling (including MCP-based integrations), skills frameworks, and streaming inference integration against ROCm-based serving stacks (vLLM, SGLang)
Design and operate the memory and context data layer for agentic applications: vector, graph, and relational stores, embedding pipelines, retrieval and context-engineering strategies, and the freshness, provenance, and access-control policies that govern them
Build the Applied AI team's engagement memory and fleet data infrastructure: pipelines that ingest deployment telemetry, incident histories, and field knowledge into structured, queryable, agent-consumable form
Develop and maintain the skills library: reusable, versioned, agent-executable encodings of deployment and operational expertise, with the testing and review gates required before agents or engineers rely on them
Build evaluation infrastructure for agentic systems: regression suites, LLM-as-judge pipelines, behavioral test harnesses, and production quality monitoring
Harden agentic systems against real-world failure modes, including prompt injection through retrieved context and memory stores, data poisoning, and tool-misuse paths
Create the reference architectures and open artifacts that make AMD the credible platform for agentic workloads, contributing upstream to the open-source agent, serving, and data ecosystem
Partner with customer-facing engineers on live engagements: your systems deploy into customer environments, and you support their production behavior

Preferred Experience

5+ years of software engineering with significant production data engineering: pipelines, storage systems, and data quality at scale (level flexible for exceptional candidates)
Hands-on experience building LLM-powered and agentic applications in production: agent frameworks and orchestration, RAG and context engineering, tool calling, and multi-step workflows
Depth in at least one memory/context storage paradigm - vector databases, graph databases, or hybrid retrieval architectures - and informed opinions about when each is wrong
Experience designing evaluation frameworks for non-deterministic systems
Strong Python; working fluency with modern data stack tooling (orchestration, streaming, warehouse/lakehouse) and containerized deployment on Kubernetes
Familiarity with GPU inference serving (vLLM, SGLang, or comparable) and the performance characteristics of LLM workloads; ROCm/AMD Instinct experience a strong plus
Security-conscious engineering instincts, particularly around untrusted content flowing into model context
Open-source contribution history in the AI/ML or data infrastructure ecosystem is a plus

Preferred Academic Credentials

Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, or equivalent practical experience

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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More about this job

Responsibilities

Build and operate production agentic AI systems and data foundations on AMD Instinct GPU infrastructure. Develop memory layers, telemetry pipelines, and evaluation frameworks to ensure reliable and safe agent behavior.

Requirements

Requires 5+ years of software engineering experience with a focus on production data pipelines and LLM-powered applications. Proficiency in Python, modern data stack tooling, and experience with GPU inference serving is expected.

Skills

Agentic AI
Data Engineering
Python
LLM Orchestration
RAG
Vector Databases
Graph Databases
Kubernetes
vLLM
SGLang
ROCm
Context Engineering
Evaluation Frameworks
Streaming Pipelines
GPU Inference Serving
Prompt Injection Mitigation

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Data Engineering
AMD Instinct GPU
ROCm
vLLM
SGLang
LLM
RAG
Vector Database
Graph Database
Python
Kubernetes
MCP
Context Engineering
Telemetry
Inference Serving
Prompt Injection
Data Poisoning
Open Source
Semiconductor
HPC
Data Center
AI Infrastructure
Evaluation Pipelines
Streaming Data
Lakehouse
Warehouse
Orchestration
Function Calling
Memory Store

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