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Added 39 mins ago
MV
Senior Project Engineer (Sewer and Drainage Operations)
Metro Vancouver
BC · British Columbia, Canada
- Full-time
Added 39 mins ago
TG
Field Systems Engineer (Level 1+)
Tech Guardian
Field, BC
- Full-time
Tech Guardian is seeking a strong Level 1+ (or a Level 2) Field, Systems Engineer. Field engineers travel to client sites (within 30 miles of Lake Elsinore) to resolve issues that cannot be…
Added 39 mins ago
H
Senior Project Manager, Power Generation
HDR
Saskatoon, SK
- Full-time
…renewable energy generation projects while serving as Owner’s Engineer and/or…
Added 39 mins ago
S
Building Coordinator
SYSTRA
Montreal, QC
- Full-time
Concept of Operations (ConOps) and service strategy
Added 39 mins ago
E-
BMS Engineer Candidate
EXONIX - Global Industrial Company
Engineer, BC
- Full-time
We are seeking a skilled BMS Engineer to join our team and play a key role in designing, implementing, and maintaining cutting-edge building management systems for our clients.
Added 1 hour ago
GI
Millwork Engineer / CNC Programmer
Giffin Interior
Engineer, BC
- Full-time
A Millwork Engineer at Giffin Interior transforms approved shop drawings into accurate engineering models, CNC programs & Saw patterns, and complete production documents. This role combines…
Added 1 hour ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 hour ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 2 hours ago
Engineer/Conductor - CTRW
BROE Group and it's managed affiliates
Prince Albert, SK
The Engineer/Conductor oversees the train, freight and crew: operates track switches, couples, and uncouples cars and places cars to facilitate loading and unloading, places cars and…
Added 5 hours ago
CI
Sr. Professional Engineer
Calian in Space & Technology
Ottawa, ON
- Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets for the…
Added 5 hours ago
S
Senior Project Manager – Conventional Signaling
SYSTRA
Toronto, ON
- $170,000 to $220,000 CAD / year
- Full-time
Drive issue resolution and decision-making across project interfaces, including civil, track, power, communications, construction management, and rail operations stakeholders.
Added 5 hours ago
W
Intermediate Electrical and Instrumentation Engineer , Nuclear
Worley
Markham, ON
- Full-time
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 5 hours ago
KG
Building Operator (Toronto)
Kipling Group
Toronto, ON
- Full-time
…office, and multi-family real estate, delivering disciplined operations, strong financial performance, and long-term asset value. Guided by a hands-on approach and a commitment to trust,…
Added 5 hours ago
BG
Production Scheduler/Coordinator
BV GLAZING
Concord, ON
- $55,000 to $65,000 CAD / year
- Full-time
…From Toronto to Texas, we are vertically integrated to design, engineer, manufacture and install the complete building envelope with today’s most ambitious developers. Serving both…
Added 5 hours ago
BG
Maintenance Technician
BV GLAZING
Concord, ON
- $35 to $40 CAD / hour
- Full-time
…From Toronto to Texas, we are vertically integrated to design, engineer, manufacture and install the complete building envelope with today’s most ambitious developers. Serving both…
Added 5 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 7 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 7 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 7 hours ago
J
Civil Engineer (design and projects)
JobsMedia.io
Montreal, QC
- Full-time
Monitor site operations: review shop drawings, respond to inquiries, and conduct compliance visits
Added 8 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
Handle service requests, configuration updates, and audit-related data extracts.Develop and update Standard Operating Procedures (SOPs) for infrastructure operations
Added 8 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
We are seeking a Cloud Engineer II within the Site Reliability Engineering team to support the reliability, automation, and operational efficiency of the Kinaxis SaaS platform. In this…
Added 10 hours ago
TT
Systems Specialist (Signals) (13530)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- $100,318.4 to $125,434.4 CAD / year
- Full-time
Report to the Chief Engineer, Systems, and ensure that objectives and scope for signals and train control systems - both conventional and CBTC - are clearly defined, agreed upon, and…
Added 11 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 12 hours ago
B
LEAD SPECIALIST MINING ENGINEER - CORP. DEV.
brh
Montreal, QC
- Full-time
Gold Fields is a globally diversified gold producer with operations in Australia, South Africa, Ghana, Peru, Canada and Chile. At Gold Fields, we are committed to building an inclusive…
Added 13 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.

Tata Consultancy Services

Forward deployed Engineer

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

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

Apply About employer

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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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