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Added 5 mins ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 5 mins ago
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Senior Level Full Stack Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
Hands-on experience with contact center or Customer Experience platforms and the operational concepts behind customer routing and engagement.
Added 49 mins ago
AI
Bilingual QE Engineer – Contact Center Tools
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Familiarity with tools like Bitbucket/Git, JIRA, Confluence, IDEs (IntelliJ/Eclipse), etc. Experience working in a structured scaled Agile environment.
Added 49 mins ago
AI
Amazon Connect Engineer – Contact Center, AWS, IVR & Java
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
5+ years of hands-on experience with Amazon Connect.
Added 49 mins ago
Manager, Project Execution
Toronto Hydro
Toronto, ON
…determined based on a holistic assessment of the candidate’s experience, education, training, and alignment with the role’s requirements. For positions covered by a collective agreement,…
Added 1 hour ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 1 hour ago
A
Product Support Engineer - NAMER
Ashby
Canada
- Full-time
Support Specialist owns cases and customer communication end-to-end. Troubleshoots complex issues by navigating internal tooling - audit logs, user experience testing, and API testing - to…
Added 1 hour ago
OC
Metallurgy Supervisor (Permanent)
Orano Canada
SK · Saskatchewan, Canada
- Internship
Improvement, Customer Satisfaction, Ethics, Transparency and Dialogue, Respect and People Development
Added 2 hours ago
S
Electrical and Instrumentation Engineer
SPECTRAFORCE
Oakville, ON
- $53 to $63 CAD / hour
- Contract
Job Title: Electrical & Instrumentation Engineer
Added 2 hours ago
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Principal Mechanical Engineer
Worley
Edmonton, AB · Calgary, AB
- Full-time
The Principal Mechanical Engineer – Static Equipment is a senior technical authority and subject matter expert responsible for providing strategic engineering leadership for static…
Added 3 hours ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
…responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and…
Added 3 hours ago
SOFTWARE ENGINEER III - HYBRID
Green Shield Canada
Toronto, ON
As a Software Engineer III, you will deliver end-to-end product improvements across user experience, backend services, APIs, databases, and cloud-based systems. You will work closely with…
Added 3 hours ago
Q
AI Agent Engineer
Qlik
Canada
- $92,700 to $116,000 CAD / year
- Full-time
Contribute to roadmap planning by identifying new agentic use cases within the COI org Journey Orchestration & Experience Governance Beyond the build, you will own how agents are deployed…
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Experience building and shipping modern customer-facing web applications and user experiences.
Added 3 hours ago
H
eTrading Full Stack Engineering - Network
HSBC
Toronto, ON
- Full-time
Engineer secures and resilient client-facing connectivity using appropriate routing segmentation and redundancy patterns and coordinate requirements testing and implementation with clients…
Added 3 hours ago
H
eTrading Full Stack Engineering - Compute
HSBC
Toronto, ON
- Full-time
Engineer basic input output system (BIOS), firmware, kernel and user space settings for deterministic performance including CPU isolation, interrupt request (IRQ) placement, power policy,…
Added 3 hours ago
H
Full Stack Engineer, Client Performance and Management Information (CPMI)
HSBC
Toronto, ON
- Full-time
Join the Client Performance and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…
Added 3 hours ago
BS
Senior Design Quality Engineer / Ingénieur principal en qualité de la conception
Boston Scientific
Montreal, QC
- Full-time
7+ years of experience in Quality Assurance, Design Assurance, Software Quality, or related roles in the medical device industry.
Added 3 hours ago
PC
Ingénieur(e) en maintien de la circulation
Parsons Corporation
Montreal, QC
- Full-time
Minimum de 5 années d’expérience pertinente en maintien de la circulation, gestion temporaire de la circulation, contrôle de la circulation, phasage de travaux, conception routière ou…
Added 3 hours ago
PC
Systems Integration Manager - Rail & Transit
Parsons Corporation
Burnaby, BC
- Part-time
Ready to take your engineering and management experience to the next level to work on complex Rail Systems construction projects that will have a huge impact on the local community in…
Added 3 hours ago
Q
Sr Staff AI Software Engineer
Qualcomm
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 3 hours ago
PF
Data Analyst 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Reporting to the Lead Data Engineer, the Data Analyst 1 supports business decision-making through hands-on data analysis, reporting, and insight generation. This role works closely with…
Added 3 hours ago
JM
Division Process Engineer
Johns Manville
Innisfail, AB
- Full-time
…upon hire. Pay within this range will vary based upon relevant experience, skills, and education among other factors. In addition, this position is eligible for an incentive…
Added 3 hours ago
M&
Coatings Engineer
Mitchell & Associates
Vaughan, ON
- Full-time
University degree in Chemical Engineering and 2 - 4 years of experience working in e-coat/powder coat facilities
Added 3 hours ago
E
Field Service Operations - Superintendent Engineer
Everllence
Dartmouth, NS
- Full-time
University degree in Engineering with related work experience

Mphasis

Technical Architect

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Oct 24, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

Job Description

Job Summary – AI Architect

We are seeking a highly experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, Vector Databases, and the Google AI ecosystem including Vertex AI and Gemini. The role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver scalable, secure, and production-ready AI platforms.

Years of Experience: 

10+ years of overall experience in software engineering, cloud architecture, or data platforms.
5+ years of experience designing and implementing AI/ML solutions.
3+ years of experience delivering Generative AI and LLM-based applications in enterprise environments.
Proven experience implementing RAG architectures, conversational AI platforms, and AI-powered knowledge management solutions.

Required

Technical Skills:

Bachelor’s degree in Computer Science, Data Science.
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring
RAG & Knowledge Systems: Retrieval-Augmented Generation (RAG), GraphRAG, Knowledge Graphs, Semantic Search, Embeddings and Vector Search, Document Intelligence and Enterprise Search
Google Cloud Platform (GCP): Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, Dataflow, GKE (Google Kubernetes Engine)
Vector Databases & Search: Vertex AI Vector Search, Pinecone, ChromaDB, FAISS, pgVector
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Security & Governance: Responsible AI, AI Risk Management, Data Governance, Security Architecture, Compliance & Audit Controls

Preferred Certifications

Google Cloud Professional Cloud Architect
Google Cloud Professional Machine Learning Engineer
Google Generative AI Certifications
Databricks Generative AI Certifications (preferred)

Key Responsibilities

AI Architecture & Strategy

Define enterprise AI architecture standards, patterns, and best practices.
Design end-to-end Generative AI, RAG, and Agentic AI solutions.
Develop AI roadmaps aligned with business objectives and technology strategy.

RAG & Knowledge Platform Design

Architect large-scale RAG and GraphRAG solutions.
Design document ingestion, chunking, indexing, retrieval, re-ranking, and grounding strategies.
Optimize AI solution accuracy, scalability, latency, and cost efficiency.
Build enterprise knowledge platforms leveraging structured and unstructured data sources.

Generative AI Solution Delivery

Lead the design and implementation of AI assistants, chatbots, copilots, and autonomous agents.
Enable integration of LLMs with enterprise systems, APIs, and workflows.
Establish frameworks for prompt engineering, model evaluation, and continuous improvement.

Cloud & Platform Engineering

Architect scalable AI platforms using GCP services.
Drive cloud-native AI application development and deployment.
Define best practices for performance optimization, reliability, observability, and resilience.

Governance, Security & Responsible AI

Implement AI governance frameworks, security controls, and monitoring capabilities.
Ensure compliance with enterprise policies, data privacy, and regulatory requirements.
Establish standards for model transparency, explainability, and risk management.

Leadership & Collaboration

Partner with business stakeholders, product owners, data engineers, and AI teams.
Conduct architecture reviews and technical design workshops.
Mentor engineering teams and promote AI adoption across the organization.
Present architecture recommendations and investment strategies to executive leadership.

Location: Toronto, ON

Work Mode: Hybrid, 3-4 days per week

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.

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More about this job

Responsibilities

Define enterprise AI architecture standards and lead the design and delivery of scalable Generative AI, RAG, GraphRAG, and agentic solutions on Google Cloud. Establish secure, governed, production-ready AI platforms while collaborating with stakeholders, guiding engineering teams, and advising executives on architecture and investment strategies.

Requirements

Requires 10+ years of overall experience, including 5+ years designing AI/ML solutions and 3+ years delivering enterprise Generative AI and LLM applications. Requires a bachelor's degree in Computer Science or Data Science and expertise in GCP, RAG, LLMs, vector search, AI frameworks, MLOps, security, and governance; relevant Google Cloud and Databricks certifications are preferred.

Skills

Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Google Cloud Platform
Vertex AI
Gemini
Vector Databases
Python
LangChain
LangGraph
LlamaIndex
RAG Architecture
AI Governance
Cloud Architecture
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Gemini
Vertex AI
Google Cloud Platform
Retrieval-Augmented Generation
GraphRAG
Knowledge Graphs
Semantic Search
Embeddings
Vector Search
Vertex AI Vector Search
Pinecone
ChromaDB
FAISS
pgVector
LangChain
LangGraph
LlamaIndex
Python
FastAPI
BigQuery
Google Kubernetes Engine
Vertex AI Pipelines
MLflow
Terraform
Prompt Engineering
Agentic AI
Responsible AI
Google Cloud Professional Cloud Architect

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