Find work in Canada.

343,277 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 13 mins ago
IB
Financial Analyst
Ivey Business School at Western University
London, ON
- Full-time
Lead the Continuing Education budget process alongside the different stakeholders.
Added 13 mins ago
S
AEO and GEO Marketing Manager
Stripe
Canada
- Full-time
Partner with content, engineering, and data analytics teams to build a comprehensive testing roadmap
Added 15 mins ago
Logistics Engineering Specialist
Siemens
Concord, ON
…and shipping operations. The role applies engineering, Lean, data-analysis, and SAP/WMS knowledge to improve efficiency, inventory accuracy, space utilization, material availability, and…
Added 15 mins ago
CI
Autonomy Systems Engineering Specialist / Spécialiste en ingénierie des systèmes d’autonomie
Caterpillar Inc.
Laval, QC
- Full-time
…automation and advanced materials, ensuring Caterpillar continues to lead the industry in technological excellence and engineering…
Added 28 mins ago
LF
Senior Accountant
Lipman Family Farms
Exeter, ON
- Full-time
Added 28 mins ago
V
Responsable du marketing produit | Produc Marketing Lead
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
…enroll, and transactions flow. We’re hiring a product marketing Lead whose success is measured by adoption: how quickly and how deeply partners and merchants use our…
Added 28 mins ago
SE
CRM and Email Operations Specialist
Sports Experts
Laval, QC
- Full-time
…Go-to-Market Manager, this person will work closely with the CRM Lead, content and creative teams, as well as corporate CRM teams at Canadian Tire, to build, integrate, test and deploy…
Added 28 mins ago
Q-
[MONTREAL] - SWIFT/Payments IT Business Analyst
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…Payments and Cash Management, leveraging Paris's significant lead and working closely with them. The focus will be on extensive Business Intelligence…
Added 28 mins ago
PM
Global Brand Manager
Prollenium Medical Technologies Inc.
Richmond Hill, ON
- $130,000 to $140,000 CAD / year
- Full-time
…injectable portfolio in Canada and US. This hands-on role will also lead and support the planning, execution, and commercialization of new product launches, ensuring successful…
Added 28 mins ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Reporting to the Vice President, Corporate Services & Chief Financial Officer, the Manager, Finance, Performance and Analytics supports the hospital's strategic objectives, performance…
Added 28 mins ago
CL
International Marketing Manager
Clover Leaf Seafoods
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Partner with Territory Managers and distributor teams to identify growth opportunities, establish revenue and profitability targets, and lead business reviews and in-market execution.
Added 28 mins ago
M
Supply Chain & Fulfillment Analyst
Mark's
Calgary, AB
- Full-time
Do you enjoy solving problems, working with data, and making sure customers receive what they need when they need it? Mark's Commercial is looking for a Supply Chain & Fulfillment Analyst…
Added 28 mins ago
M
Operations Planning Analyst
Mark's
Calgary, AB
- Full-time
…practical experience in forecasting, inventory planning, business analytics, and supply chain…
Added 28 mins ago
SC
Category Business Manager
Sport Chek
Calgary, AB
- Full-time
…understanding our customers by analyzing product, industry and customer data to evolve their merchandising category and enhance the overall customer…
Added 30 mins ago
M
Engineering Lead - Geographic Information Systems (GIS)
Metrolinx
Canada
- Full-time
…component of that capability. Through effective governance, data integration, spatial analytics, and cross-functional leadership, the Engineering Lead, GIS will enable the organization…
Added 30 mins ago
A
Data Storage Manager
ATCO
Calgary, AB
- Full-time
…foundation that powers and protects a diverse global business. As Data Storage Manager, you'll lead the evolution of critical enterprise storage and cyber resiliency solutions, influencing…
Added 30 mins ago
LC
Director, Customer Support Automation
Loblaw Companies Limited
Brampton, ON
- Full-time
In this role, you will lead the strategy and business management of the platforms and automation capabilities that power Customer Support, including Salesforce, conversational AI and…
Added 30 mins ago
Senior Manager, Data Initiatives
Scotiabank
Toronto, ON
High-quality data is critical to Global Wealth Management & Insurance’s strategic objectives. As a Senior Manager, Data Initiatives, you are a senior member of a business-focused data…
Added 30 mins ago
Senior Manager, Pricing Strategy & Optimization
Scotiabank
Toronto, ON
Lead approved pricing changes across the Retail products and Advisor Deposit Services and cross-functional initiatives with analytics, technology, and product teams.
Added 30 mins ago
Director, Digital Product Owner, Scotia Protect Platform
Scotiabank
Toronto, ON
…collaboration with country, Digital, Technology, Operations, Data, Risk, Compliance, and insurer partner…
Added 30 mins ago
Store Manager
Under Armour
Kingston, ON
Build loyalty through in-store experience using data capture, endless aisle, and other omni-channel solutions
Added 30 mins ago
Experience Researcher, PLG
Asana
Vancouver, BC
Be a strategic partner: Together with your cross-functional partners (Product, Design, Engineering, Data Science) you’ll uncover how to best introduce users to Asana’s new products,…
Added 30 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Bring us your passion for digital or data analytics, and we’ll put you to work on exciting initiatives that answer the challenge: "How can we do that better?” Working with a dedicated team…
Added 30 mins ago
Senior Manager, Program Controls, Data Center Construction
Bell
Regina, SK
Bell's AI Fabric program is a transformational initiative focused on delivering scalable, mission-critical data centre infrastructure. The Program Controls Manager will establish and…
Added 30 mins ago
Data Scientist
Upshop
Mississauga, ON
We are seeking an engineering-focused Data Scientist to build, operationalize, and maintain production-grade retail forecasting and optimization models. In this role, model development goes…

Tata Consultancy Services

Forward deployed Engineer

Toronto, ON, Canada

$100,000 to $120,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $100,000 to $120,000 CAD / year
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Must-Have Technical / Functional Skills

Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering enterprise-scale solutions.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, Fast API, and enterprise application integration.
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and Data Ops practices.
Experience implementing and operationalizing MLOps/LLMOps capabilities, including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production support.
Strong knowledge of cloud and modern data platforms, including compute, storage, integration, orchestration, security, networking, monitoring, and cost optimization services.
Hands-on experience with Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed data processing frameworks.
Strong understanding of enterprise security and governance principles, including IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable solution designs, define non-functional requirements, estimate effort, and drive production-ready implementation.
Experience working with Banking, Financial Services, or Insurance (BFSI) data environments and familiarity with regulatory, security, privacy, and resilience requirements.
Strong client-facing consulting skills with experience conducting discovery workshops, solution shaping, rapid prototyping, stakeholder communication, and technical presentations.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Platforms, Kubernetes, AI Engineering, MLOps, Data Engineering, Enterprise Architecture, Security, or Program Delivery.
Experience working in a forward-deployed delivery model by embedding with subject matter experts, business users, and engineering teams through solution validation, production deployment, adoption, and handover.
Strong hands-on data discovery skills, including profiling unfamiliar data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions, edge cases, and business-process gaps before development.
Ability to rapidly build thin working solutions using real data and APIs, validate them with users, and iteratively harden them with automated tests, security controls, error handling, observability, and production support procedures.
Experience creating business-relevant evaluation datasets with subject matter experts, measuring ML or LLM quality, performing structured error analysis, grouping failures by root cause, and prioritizing improvements across releases.
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported issues.
Ability to measure user adoption and business impact after launch using usage data and agreed KPIs such as time saved, error reduction, straight-through processing, quality improvement, or productivity gains.
Willingness and ability to travel or work onsite with stakeholders when an engagement requires close collaboration and accelerated delivery.

Roles & Responsibilities

Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, Claude, SQL, APIs, and modern cloud-based data platforms.
Engage with business and technology stakeholders to understand business objectives, data landscapes, functional requirements, non-functional requirements, and delivery expectations.
Define solution architecture, implementation roadmaps, and technical approaches that align with business goals and operational requirements.
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Develop batch, real-time, and streaming data processing solutions integrating multiple enterprise data sources and downstream applications.
Build and operationalize Claude-powered applications, copilots, and AI workflows using prompt engineering, Retrieval-Augmented Generation (RAG), vector search, and enterprise data integration.
Implement responsible AI practices, including governance, security, privacy, traceability, validation, and human oversight controls.
Design and enforce engineering standards, reusable frameworks, CI/CD practices, infrastructure automation, and production deployment patterns.
Provide technical leadership across solution design, code reviews, architecture reviews, testing, deployment, and production support activities.
Drive platform reliability, performance tuning, observability, incident resolution, and operational excellence across data and AI workloads.
Collaborate closely with architects, data engineers, AI specialists, platform teams, and stakeholders to deliver production-ready solutions.
Support solutioning, RFP responses, technical demonstrations, effort estimation, and workshops for new opportunities.
Develop reusable accelerators, reference architectures, implementation playbooks, and engineering best practices to improve delivery efficiency.
Mentor engineering teams and contribute to hiring, capability development, technical assessments, and knowledge-sharing initiatives.
Embed with subject matter experts, product owners, and engineers for defined outcomes; map workflows, users, data, constraints, and decision points; and establish measurable success criteria.
Analyze data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.
Build working solutions quickly using real data and APIs, validate with users, and iteratively enhance for security, reliability, maintainability, and production operations.
Create evaluation datasets with subject matter experts, perform model and LLM error analysis, and recommend improvements.
Resolve data access, API, identity, network, security, infrastructure, and deployment blockers in collaboration with platform and engineering teams.
Own post-go-live stabilization by monitoring services, diagnosing failures, addressing latency and cost issues, executing recovery plans when required, and delivering fixes.
Measure adoption and business impact using usage data and agreed KPIs, and communicate outcomes through dashboards, demonstrations, and executive summaries.
Complete structured handovers with runbooks, support ownership documentation, knowledge transfer materials, reusable components, test artifacts, and deployment patterns.

Generic Managerial Skills

Strong problem-solving and decision-making abilities with a balanced focus on business outcomes, technology strategy, security, scalability, and operational excellence.
Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with business, technical, and executive audiences.
Strong consulting mindset with the ability to analyze complex challenges, recommend practical solutions, and clearly articulate architectural trade-offs.
Proven ability to lead and influence cross-functional, distributed teams in a collaborative and fast-paced delivery environment.
High level of ownership, accountability, attention to detail, and commitment to engineering quality and delivery excellence.
Strong planning, prioritization, and multitasking skills with the ability to manage multiple initiatives, stakeholders, and delivery commitments simultaneously.
Ability to mentor engineers and architects, foster knowledge sharing, and drive adoption of engineering best practices.
Adaptability and resilience to work effectively in rapidly evolving technologies, business priorities, and stakeholder environments.

Salary Range - CA$ 100,000 - CA$ 120,000 Per Year

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

Apply About employer

More about this job

Responsibilities

Design, build, and deploy enterprise AI and data applications, pipelines, and cloud solutions, including Claude-powered workflows, while ensuring security, reliability, performance, and cost efficiency. Work directly with stakeholders to validate solutions, lead production deployment and support, measure adoption and business impact, and provide technical leadership and handover.

Requirements

Requires demonstrated experience delivering enterprise-scale data engineering, AI applications, cloud data platforms, and production software, with hands-on expertise in Python, PySpark, SQL, APIs, RAG, MLOps/LLMOps, and modern engineering tools. A bachelor's degree in a related discipline is specified, along with BFSI experience, strong consulting and stakeholder skills, and the ability to work onsite or travel when needed.

Skills

Python
PySpark
SQL
Data Engineering
AI Application Development
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
REST APIs
FastAPI
Cloud Data Platforms
MLOps
LLMOps
Kubernetes
Client-Facing Consulting

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data
DataOps
MLOps
LLMOps
MLflow
Git
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
BFSI
Data Quality
Observability
Production Support

Report this job