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Added 1 month ago
IGA Development Engineer
TD
Toronto, ON
Full-time
We are seeking an experienced Full Stack Developer with a strong background in both front-end and back-end development, coupled with expertise in Java, Oracle, Unix, and a range of…
Added 1 month ago
Lead Java Developer - Vice President
Citi
Mississauga, ON
Full-time
We are seeking a highly motivated and experienced Lead Java Developer to join our dynamic team focused on enhancing developer productivity. Our mission is to build and maintain cutting-edge…
Added 27 days ago
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
Full-time
In this role, you will leverage your full-stack engineering experience and AI fluency to go beyond automating the SDLC. You will embed intelligence directly into RBC's applications, tools,…
Added 1 month ago
AI-First Quality Engineering Lead
RBC
Toronto, ON
Full-time
In this role, you will leverage your full-stack engineering experience and AI fluency to go beyond automating the SDLC. You will embed intelligence directly into RBC's applications, tools,…
Added 1 month ago
Director - Data Solution Delivery, Wealth Management
Scotiabank
Toronto, ON
Lead a team of data engineers and full-stack developers.
Added 1 month ago
Software Engineer
The MRG Group
Toronto, ON
$85,000 to $130,000 CAD / year
Full-time
Own the full lifecycle. Write the code, refine the AI-assisted prompts behind it, configure CI/CD pipelines, and execute safe rollouts.
Added 1 month ago
Java Full Stack Developer
J&M Group
Montreal, QC
Full-time
Added 1 month ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
Full-time
Full-stack engineering expertise - proven background with modern enterprise technology stacks, including React, Java, and/or Python in production environments, deployed across AWS and/or…
Added 1 month ago
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
$100,000 to $150,000 CAD / year
Full-time
Position: Senior Software Developer - Full Stack Web Application Development
Added 1 month ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
…solution that will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services…
Added 1 month ago
Full Stack Software Developer
YuJa Inc.
Toronto, ON · North York, Ontario
Full-time
You have programming experience with Java (J2EE), Enterprise Java Beans (EJBs), Java Server Pages (JSP), Java Servlets, JDBC, Eclipse and JBoss web server.
Added 1 month ago
Director - Solution Delivery, Wealth Management
Scotiabank
Toronto, ON
Lead and develop high-performing teams of data engineers and full-stack developers by setting clear expectations, providing technical guidance, coaching, and performance management.
Added 1 month ago
Software Engineer, Full-Stack Applications, Associate Director
Fitch Group
Toronto, ON
As a member of our Ratings Technology team, you will work on modern full-stack applications that support core business capabilities, partnering closely with engineers, product managers, and…
Added 1 month ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Lead Software Engineer, Full-Stack Applications – Innovation Teams
Added 1 month ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
…seamlessly handing conversations to humans when needed, with full context…
Added 1 month ago
Senior TypeScript Engineer
MapsPeople
Toronto, ON
Full-time
You will work across the full stack, from crafting responsive front-end experiences to designing robust back-end services, within a collaborative, quality-driven engineering culture.
Added 1 month ago
Technical Director, Live Games
Big Viking Games
Remote, Canada
Full-time · Remote
The work spans the full stack: TypeScript and HTML5 on the client, a custom WebGL rendering layer, Java real-time game servers, PHP backend services, MySQL, Redis, Memcached, RabbitMQ,…
Added 1 month ago
Senior / Intermediate Full Stack Engineer (Backend-Leaning)
MONKEY Catering Platform
Canada
Full-time
…that operate at scale. We’re looking for a backend-leaning Full Stack Engineer who enjoys solving meaningful product problems, designing thoughtful systems, and shipping high-quality…
Added 1 month ago
Full Stack Developer Lead (Java, Python, AWS, NodeJS)
Pacer Group
Toronto, ON
$45 to $50 CAD / hour
Contract
Job Title: Full Stack Developer Lead (Java, Python, AWS, NodeJS)
Added 1 month ago
Full Stack Java Developer
J&M Group
Toronto, ON
Contract
At least 5 6 years of experience in full stack development
Added 1 month ago
AI Architect
Synopsys Inc
Mississauga, ON
Full-time
…team is focused on delivering scalable, production-grade AI full-stack solutions that create measurable business…
Added 1 month ago
Senior Lead Java Fullstack Software Engineer
Citi
Mississauga, ON
Full-time
10+ years of experience in full-stack web application development.
Added 1 month ago
Data Engineer
eBay
Toronto, ON
Full-time
…to develop scalable data platforms and services that improve developer productivity, system performance, and operational…
Added 15 days ago
Data Solutions Architect
Spaulding Ridge
Toronto, ON
Strong full stack development background, including front-end development, back-end/API development, application architecture, authentication/authorization, logging, error handling, and…
Added 1 month ago
Senior Frontend Software Engineer (Bridge) Canada, Remote
LTG
Remote, Canada
Full-time · Remote
The list below is the environment you will work in, not a checklist you must already know. This is a frontend role on a full-stack team, so you will touch much of it - but we require depth…

Synopsys Inc

AI Architect

Mississauga, ON, Canada

Job type: Full-time
Experience: Minimum 10 years of software engineering experience, including strong hands-on experience in building and shipping production systems.
Posting language: English
Posted: Jul 31, 2026

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Original job description

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and intelligent software systems. Join us to transform the future through continuous technological innovation.

As part of our Generative AI / Agentic AI initiatives, we are building next-generation intelligent applications powered by LLMs, workflows, tools, memory, and autonomous decisioning. Our team is focused on delivering scalable, production-grade AI full-stack solutions that create measurable business impact.

You Are:

You are a hands-on senior engineering leader with a passion for building production-grade agentic AI systems and AI full-stack applications. You thrive in fast-paced, collaborative environments and enjoy solving complex problems across orchestration, memory, reasoning, backend systems, and user experience. You bring strong technical depth in modern AI application development, combined with the leadership skills to guide teams, mentor engineers, and drive delivery excellence.

You are excited by the challenge of developing workflow-driven agentic systems using frameworks such as ADK, NAT, and other agent orchestration frameworks, and you understand how to combine LLMs, tools, memory, retrieval, and guardrails into reliable applications. You balance innovation with engineering rigor and are committed to building secure, scalable, and responsible AI solutions.

What You’ll Be Doing:

Design, build, and deploy agentic AI platforms, applications and AI full-stack solutions using frameworks such as ADK, NAT, and similar agent/workflow platforms.
Develop intelligent workflows for planning, reasoning, task decomposition, tool execution, reflection, and multi-step orchestration.
Implement and optimize memory architectures, including Semantic memory, Procedural memory, Episodic memory, Working/session memory etc.
Build integrations with enterprise tools, APIs, knowledge bases, databases, search systems, and external services using tool calling, function calling, and MCP/equivalent connector patterns where applicable.
Develop backend services, orchestration layers, APIs, and supporting full-stack components for AI applications, including human-in-the-loop experiences and operational dashboards.
Implement RAG pipelines, vector search, knowledge retrieval, prompt orchestration, and contextual grounding for agents.
Design robust agent state management, persistence, retry, fallback, and recovery mechanisms for workflow-driven systems.
Establish evaluation frameworks for agent quality, memory relevance, tool-use success, trajectory quality, hallucination reduction, latency, cost, and safety.
Build observability and monitoring for agentic systems, including tracing, logging, prompt/version tracking, workflow telemetry, and incident analysis.
Apply guardrails, policy controls, validation layers, and secure design practices to ensure safe and responsible AI behavior.
Mentor engineers, drive design reviews, establish best practices, and contribute to engineering standards for agentic application development.
Collaborate with product managers, designers, researchers, platform teams, and business stakeholders to translate requirements into scalable AI solutions.

The Impact You Will Have:

Accelerate Synopsys’ adoption of agentic AI through scalable, workflow-driven applications.
Enable delivery of robust AI systems that combine LLMs, tools, memory, and orchestration to solve high-value business problems.
Improve engineering productivity and business efficiency through reusable agentic patterns, platform components, and best practices.
Raise the technical maturity of the team through mentorship, code quality, architecture guidance, and knowledge sharing.
Help establish Synopsys as a leader in responsible, enterprise-grade AI application development.

What You’ll Need:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or related field. PhD is a plus.
Minimum 10 years of software engineering experience, including strong hands-on experience in building and shipping production systems.
Proven experience delivering AI/ML, GenAI, or agentic AI applications in production environments.
Strong proficiency in Python and at least one of TypeScript/JavaScript, Java, C++, or Go.
Experience with ADK, NAT, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar agentic development frameworks.
Strong understanding of:

OpenAI API Specification
LLM application design
Workflow orchestration
Prompt engineering
Tool/function calling
RAG architectures
Memory systems for agents
Multi-agent collaboration patterns

Experience with vector databases, search systems, embeddings, and knowledge retrieval pipelines.
Experience building AI full-stack applications, including backend APIs/microservices and frontend or user-facing AI experiences.
Familiarity with cloud platforms such as AWS, GCP, or Azure, and container/orchestration technologies such as Docker and Kubernetes.
Experience with CI/CD, Git-based development, testing, and Agile/Scrum practices.
Strong understanding of observability, evaluation, guardrails, security, privacy, and responsible AI practices.
Experience in semiconductor, EDA, developer productivity, or enterprise software domains is a plus.

Who You Are:

A strong systems thinker and pragmatic problem solver.
A hands-on technical leader who can move between architecture and implementation.
An effective communicator who can explain complex AI concepts to diverse audiences.
A collaborative team player who values inclusion, curiosity, and continuous learning.
A mentor who raises the bar for engineering quality and technical excellence.
Ethical, detail-oriented, and committed to responsible AI deployment.

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More about this job

Responsibilities

Design and deploy production-grade agentic AI platforms and full-stack solutions using advanced orchestration frameworks. Lead the development of intelligent workflows, memory architectures, and RAG pipelines to solve high-value business problems.

Requirements

Requires a minimum of 10 years of software engineering experience with a proven track record of shipping AI/ML or GenAI applications in production. Must be proficient in Python and experienced with agentic frameworks like LangGraph, AutoGen, or CrewAI.

Skills

Agentic AI
LLM Orchestration
Python
RAG Architectures
Vector Databases
Prompt Engineering
Full-stack AI Development
Workflow Orchestration
Memory Architectures
API Design
Cloud Platforms
Kubernetes
Docker
CI/CD
System Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
Generative AI
Agentic AI
LLM
ADK
NAT
LangGraph
AutoGen
CrewAI
Semantic Kernel
RAG
Vector Search
Python
TypeScript
Java
C++
Go
AWS
GCP
Azure
Docker
Kubernetes
MCP
Semantic Memory
Episodic Memory
Function Calling
Observability
Guardrails
Semiconductor
EDA

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