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Added 13 mins ago
L
Financial Service Representative - LendDirect Office 1556
LendDirect
Calgary, AB
- Full-time
…provincial average. The actual base hourly offered for this full-time position will be determined by various factors, including, but not limited to, location, skills, knowledge,…
Added 13 mins ago
L
Assistant Branch Manager - Office 1553
LendDirect
Kingston, ON
- Full-time
…provincial average. The actual base salary offered for this full-time position will be determined by various factors, including but not limited to, location, skills, knowledge,…
Added 13 mins ago
EP
Wind Technician - Multiple Levels [On-Site]
EDF power solutions
Belle River, ON
- Full-time
…to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain -…
Added 13 mins ago
JV
Associate DVM (Part-Time Casual) - Burlington
Juno Veterinary
Burlington, ON
- Part-time
…into your role and utilizing your skills and knowledge to its full potential. It means locking arms with your team, knowing that you are all here to support each other, collaborate within…
Added 13 mins ago
Human Resources Business Partner
IAMGOLD
Gogama, ON
…economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger -…
Added 13 mins ago
H
Head Cook, Full Time
Havergal
Sudbury, ON
- Full-time
Lead and coordinate kitchen staff during daily operations.
Added 13 mins ago
O
Senior Manager, Marketing Analytics
Optro
Remote, Canada
- $128,000 to $176,000 CAD / year
- Full-time
- Remote
Reports into Marketing Operations and supports the full marketing organization.
Added 13 mins ago
HB
Full Time Key Holder / Cashier Operations- BOSS Store, Royalmount
HUGO BOSS Canada, Inc.
Mont-Royal, QC · Mount Royal, CA-QC
- Full-time
- Other
Lead the team to achieve positive results by supporting top line sales, profit and loss management and inventory control.
Added 13 mins ago
HB
Assistant Manager - BOSS Outlet, Mirabel
HUGO BOSS Canada, Inc.
Mirabel, QC
- Other
Lead the team to achieve positive results by supporting top line sales, profit and loss management and inventory control.
Added 13 mins ago
A
Housekeeping Supervisor
AccorHotel
Whistler, BC
- Full-time
Lead and supervise the day-to-day operation of the department to ensure service standards are followed with friendly and engaging service
Added 13 mins ago
RB
Director, SAP APFA Platform Lead
Royal Bank of Canada
Halifax, NS
- Full-time
Global Functions Technology (GFT) is a division within RBC’s Technology and Operations group, dedicated to supporting a wide range of business partners, including Risk, Finance, Human…
Added 13 mins ago
AF
Assistant Branch Manager - Office 1553
Attain Finance
Kingston, ON
- Full-time
…provincial average. The actual base salary offered for this full-time position will be determined by various factors, including but not limited to, location, skills, knowledge,…
Added 13 mins ago
AF
Financial Service Representative - LendDirect Office 1556
Attain Finance
Calgary, AB
- Full-time
…provincial average. The actual base hourly offered for this full-time position will be determined by various factors, including, but not limited to, location, skills, knowledge,…
Added 13 mins ago
HB
Full Time Key Holder - BOSS Store, St Foy
HUGO BOSS Canada, Inc.
Ste.-Foy, QC
- Full-time
- Other
Lead the team to achieve positive results by supporting top line sales, profit and loss management and inventory control.
Added 26 mins ago
JR
Comptroller
Jump Recruitment Specialists
St. John's, NL
- Full-time
Jump Recruitment Specialists has partnered with the YMCA of Newfoundland and Labrador in their search for full-time permanent Comptroller. This position reports to the Association Services…
Added 26 mins ago
R|
Clinical Research Coordinator – Endometriosis Research Program
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Contract
…Nguyen and Basile Tessier-Cloutier, the clinician-scientists who lead the program, the incumbent is responsible for the scientific and operational management of the program’s portfolio of…
Added 26 mins ago
R|
Animal Resources Division Manager – Montreal General Hospital Site
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…animal facility staff working in these facilities, budget, operations, resource allocation, infrastructure and equipment. Ensures an operational support to the Investigators and their…
Added 26 mins ago
R|
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…technical resources, and methodological tools to facilitate data operations across the full study lifecycle. Reporting to the Associate Director (scientific) and the CORE Manager…
Added 26 mins ago
M
Property Manager - Multi-Residential (Contract)
Morguard
Toronto, ON
- Full-time
…stabilization and post-stabilization, ensuring a smooth transition to full…
Added 26 mins ago
C
Software Validation Specialist
CATALIS
AB · Edmonton, AB
- Full-time
…They will develop test cases and report findings to the team lead, development managers, and developers. The ideal candidate will also have experience with automated testing. The ideal…
Added 26 mins ago
CO
Director, Information Technology
City of St. Albert
St. Albert, AB
- $164,477.56 to $198,426.54 CAD / year
- Full-time
You will receive a Flexible Spending Account limit at the beginning of each calendar year (permanent full time $400).
Added 26 mins ago
B
Engineering Manager - Infrastructure
BitGo
Toronto, ON
- Full-time
This role will require being full-time onsite at our Toronto or New York City office to support collaborative team dynamics and innovative problem-solving. You will participate in an…
Added 26 mins ago
CC
Foreman - Milton, ON
CRH Canada
Acton, ON
- Full-time
Lead daily production and maintenance activities to meet safety, quality, and operational targets
Added 26 mins ago
CC
Foreman - Milton, ON
CRH Canada
Acton, ON
- Full-time
Lead daily production and maintenance activities to meet safety, quality, and operational targets
Added 26 mins ago
B
Technical Lead - Infrastructure
BitGo
Toronto, ON
- Full-time
This role will require being full-time onsite at our Toronto or New York City office to support collaborative team dynamics and innovative problem-solving. You will participate in an…

Tata Consultancy Services

Forward deployed Engineer

Toronto, ON, Canada

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

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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.

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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

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