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Added 2 mins ago
ON
Manager Train Service
Ontario Northland
ON
- $127,790 to $150,332 CAD / year
- Full-time
Provide clear direction, regular coaching and operational guidance to employees, and establish expectations for safety, service and performance.
Added 2 mins ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 2 mins ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…
Added 16 mins ago
HB
Production Support - Elite Quant Fund- Up to $180,000 CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
My client is hiring a Production Support Engineer to support mission-critical front office trading systems in a fast-paced, high-performance environment where uptime, speed, and reliability…
Added 16 mins ago
HB
Software Engineer – Elite Quant - Up to $200,000 CAD Starting base + Exceptional benefits/bonus package Fund
Hunter Bond
Montreal, QC
- Full-time
My client - one of the world's leading quantitative trading firms - is hiring a Platform Engineer / Site Reliability Engineer (SRE) to design, build, and maintain highly scalable, resilient…
Added 16 mins ago
SG
Electrical Engineer & Project Manager, BESS
Socomec Group
Brampton, ON
- Full-time
Socomec Group (Socomec) is a global leader in electrical equipment engineering and manufacturing, specialized in low voltage energy performance.
Added 17 mins ago
Automated Welding Specialist
BWXT
Cambridge, ON
Identify and report welding‑related issues, including equipment, tooling, and human performance concerns.
Added 32 mins ago
AG
Electrical & Controls Project Engineer
Artemis Gold - Blackwater Project
Vancouver, BC
- Other
Reporting to the Engineering Manager - Capital Projects the Electrical and Controls Project Engineer is responsible for design and overseeing the planning, execution, and commissioning of…
Added 32 mins ago
JH
Building Code & Fire Protection Engineer (P.Eng) (GHL Consultants, a part of J.S. Held)
J.S. Held LLC
Calgary, AB
- Full-time
We are seeking an experienced and motivated Professional Engineer (P.Eng.) to join our Calgary office. The successful candidate will play a key role in delivering building code and fire and…
Added 46 mins ago
BG
Bespoke Engineering - Placement Year
BMW Group
Goodwood, ON
- Internship
As the epitome of exclusive super luxury, a Rolls-Royce delivers unmatched quality, style, and performance. Behind the legendary brand is a team of passionate and highly talented people who…
Added 46 mins ago
HA
Engineer – Mass Properties
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
We are seeking a highly motivated Engineer – Mass Properties to support the development, certification, and production of our next-generation aircraft program. The Mass Properties Engineer…
Added 46 mins ago
EI
Junior Project Engineer
Egis in Canada
Calgary, AB
- $70,000 to $80,000 CAD / year
- Full-time
…qualifications, certifications, experience, skills, geographic location, performance, and business or organizational…
Added 46 mins ago
WI
Senior Principal Engineer / Technical Director - Tailings & Mine Waste
WSP in Canada
Calgary, AB
- Full-time
As a Senior Principal Engineer / Technical Director - Tailings & Mine Waste, you will serve as a recognized technical authority and strategic advisor, leading some of the most complex and…
Added 46 mins ago
EI
Intermediate Water Resources Engineer
Egis in Canada
Hamilton, ON
- $90,000 to $110,000 CAD / year
- Full-time
Intermediate Water Resources Engineer based in Hamilton supporting drainage design for infrastructure projects. The role operates within multidisciplinary engineering teams delivering…
Added 46 mins ago
EI
Project Manager
Egis in Canada
Calgary, AB
- $130,000 to $180,000 CAD / year
- Full-time
Registration as a Professional Engineer with APEGA would be considered an asset;
Added 46 mins ago
K
Senior Software Engineer - React Native - Consumer
Kraken
Canada
- Full-time
Work with APIs and dynamic or real-time data, making strong decisions on state management, rendering, performance, architecture, and reliability
Added 46 mins ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 46 mins ago
SS
Adobe Site Reliability Engineer – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON
- Full-time
We are seeking an experienced Site Reliability Engineer (SRE) to support an enterprise content management and digital experience platform powered by Adobe Experience Manager (AEM) Edge…
Added 46 mins ago
MS
Electro Mechanical Engineer
Mace Staffing Solutions Inc.
Caledon, ON
- Full-time
Added 46 mins ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported…
Added 46 mins ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported…
Added 46 mins ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported…
Added 46 mins ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
Ensure system scalability, performance, and reliability through effective orchestration strategies.
Added 46 mins ago
FI
Senior Simulation Scientist
Fulfillment IQ
Toronto, ON
- $115,000 to $145,000 CAD / year
- Full-time
Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
Added 47 mins ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…public sector, where security, governance, reliability, and performance are critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to…

Tata Consultancy Services

Forward deployed Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, 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.

Required skill set

"Skills and Responsibilities

Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.

Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, 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 DataOps 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 client SMEs, business users, and engineering teams through solution validation, production deployment, adoption, and handover.

Strong hands-on data discovery skills, including profiling unfamiliar client 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 client 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 client SMEs, 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 client teams 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 landscape, 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 client stakeholders to deliver production-ready solutions.

Support solutioning, RFP responses, technical demonstrations, effort estimation, and client 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 client SMEs, product owners, and engineers for a defined, time-bound outcome; map the workflow, users, data, constraints, and decision points; and agree on the first useful release and measurable success criteria.

Analyze client data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.

Build a thin working version quickly on real data and APIs, validate it with business users, and harden it iteratively for security, reliability, maintainability, and production operations.

Create evaluation datasets with client SMEs, perform model and LLM error analysis. and suggest improvements.

Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers in partnership with client data, platform, security, and engineering teams.

Own post-go-live stabilization by monitoring services, diagnosing user-reported failures, latency and cost issues, executing rollback or recovery where required, and shipping fixes.

Measure adoption and realized business impact using usage data and agreed KPIs, and communicate results through concise dashboards, demonstrations, or executive summaries.

Complete structured handover with runbooks, support ownership, knowledge transfer, and reusable components, test documents, and deployment patterns.

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

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 production-grade data and AI applications, platforms, and pipelines, including Claude-powered solutions, while ensuring scalability, security, reliability, and cost efficiency. Work directly with client stakeholders from discovery and prototyping through deployment, production support, adoption measurement, and handover.

Requirements

The role requires substantial experience in data engineering, AI application development, cloud data platforms, and production software engineering, along 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 required, as are client-facing consulting skills and experience with BFSI environments; relevant certifications are preferred.

Skills

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Data Engineering
MLOps
LLMOps
Cloud Data Platforms
Kubernetes
Enterprise Security

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
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
BFSI
Data Quality
Model Monitoring
Data Discovery
Production Support

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