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Added 16 days 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
…firm specializing in Building Code Consulting, Fire Protection Engineering, and Life Safety services. We provide innovative solutions to address complex building code and fire and life…
Added 16 days ago
HA
Engineer – Mass Properties
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
The successful candidate will work closely with Design Engineering, Structures, Systems Integration, Flight Sciences, Manufacturing, and Flight Test teams to establish and maintain an…
Added 16 days ago
AR
310T Technician - Guelph
Altruck Rentals
Guelph, ON
- Full-time
Perform routine maintenance, safeties and repairs on heavy-duty trucks including diesel engines, transmissions, brakes, suspension systems, and electrical systems
Added 16 days ago
EI
Intermediate Water Resources Engineer
Egis in Canada
Hamilton, ON
- $90,000 to $110,000 CAD / year
- Full-time
…phases for stormwater management, sanitary and water conveyance systems, and drainage infrastructure. Work includes regulatory submissions, municipal approvals, and coordination across…
Added 16 days ago
W
HR Administrative Assistant
Webuild
Toronto, ON
- Full-time
Webuild is an international construction company of civil engineering pioneers who have been at the forefront of the construction business for 120 years. With over 92,000 employees…
Added 16 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
3. Software Engineering & Security Architecture
Added 16 days ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
…develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes, implementing AI capabilities, integrating enterprise systems, and creating…
Added 16 days ago
EV
Specialist, Automation
Elk Valley Resources
Sparwood, BC
- $95,000 to $112,000 CAD / year
- Full-time
Reporting to the Senior Engineering Supervisor, the Specialist, Automation, Processing Systems is responsible for safely delivering and maintaining a diverse set of technology that is…
Added 16 days ago
MS
Electro Mechanical Engineer
Mace Staffing Solutions Inc.
Caledon, ON
- Full-time
Our client is seeking an experienced Electromechanical Technologist/Engineering Project Lead to support automation, robotics, and equipment projects within a fast-paced automotive…
Added 16 days ago
KS
Regional Sales Manager - Building Automation
Kinetic Search Group
Montreal, QC · Greater Montreal, QC
- Full-time
A technical diploma or degree in mechanical engineering, electrical engineering, building systems, or a related discipline is preferred but not required. Relevant industry experience and…
Added 16 days ago
TT
Senior Structural Engineer
Tetra Tech
Pickering, ON
- Full-time
…sustainable future for our world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the…
Added 16 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Added 16 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Added 16 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.
Added 16 days ago
J
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Build and maintain CI/CD pipelines that enable engineering teams to ship code reliably and frequently with minimal manual intervention
Added 16 days ago
LA
Software Developer (Automation & Integration)
Litens Automotive Group
Concord, ON
- Full-time
The Software Developer will work with software, firmware, validation, hardware, project, and business teams to design, develop, maintain, and improve AI-enabled automation solutions. The…
Added 16 days ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
· Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs
Added 16 days ago
ME
Electrical Engineer
Morson Edge
Burnaby, BC
- $60 to $75 CAD / hour
- Contract
Role: E3 Electrical Engineer – P&C / SCADA Systems Design Team
Added 16 days ago
CP
Applications Administrator
Choice Properties
Toronto, ON
- Full-time
Post-secondary education in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
Added 16 days ago
Business Analyst
Exchange Technology Services Inc.
Winnipeg, MB
Post Secondary Education in Business Administration, Information Systems, Computer Science engineering or equivalent experience in a related field.
Added 16 days ago
Interior Design Technologist
WF Group Inc.
Kitchener, ON · Toronto, ON
Develop knowledge of building systems, construction methods, accessibility standards, and applicable building codes.
Added 16 days ago
MS
Consultant Conversion - Lead Cybersecurity Ops: Job Level - Vice President
Morgan Stanley
Montreal, QC
- Full-time
-Bachelor's degree in Cyber Security, Computer Science, Information Systems, Engineering, Mathematics, or a related field, or 10+ years of equivalent Information Security experience.
Added 16 days ago
EA
7-SAR-Outside Sales Technical Representative
Everest Automation
Sarnia, ON
- Full-time
…instrumentation products, control & on/off valves, and control…
Added 16 days ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively…
Added 16 days ago
AI Intern, Applied & Agentic AI (December 2026 to April 2027)
ProCogia
Vancouver, BC
…critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively…

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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