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Added 6 mins ago
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Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Machine Learning Engineer Intern, you’ll help develop Workday’s intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of…
Added 6 mins ago
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Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Our Software Development Engineers don't just write code - they enhance how customers access and manipulate data, improve the performance and scalability of Workday's products, and ensure…
Added 21 mins ago
GF
Electronics Engineer, Diagnostics and Data Acquisition
General Fusion
Vancouver, BC
- Full-time
General Fusion is seeking a Senior Electronics Engineer to join our Controls & Electronics team. This team designs and supports the data acquisition, instrumentation, and control…
Added 21 mins ago
KG
Principal Rock Mechanics Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Confirm that geotechnical work is appropriate to the decision being made, the level of study, the quality of available data, and the magnitude of the associated risk.
Added 21 mins ago
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Hydrogeologist
AECOM
Winnipeg, MB
- $115,000 to $180,000 CAD / year
- Full-time
Collection and interpretation of water quality data to evaluate compliance, potability and inform treatment requirements.
Added 1 hour ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Montréal-Est, QC
Requirements: 6+ yrs aerospace quality/operations, Six Sigma Green/Black Belt, 5-Why/Fishbone, SAP MRP, Bilingual (FR/EN).
Added 1 hour ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Longueuil, QC
Requirements: 6+ yrs aerospace quality/operations, Six Sigma Green/Black Belt, 5-Why/Fishbone, SAP MRP, Bilingual (FR/EN).
Added 1 hour ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.
Added 1 hour ago
CO
ENGINEER
City of Toronto
Toronto, ON
- Full-time
Develop, maintain and enhance business processes and systems for managing digital records and data and improving data quality
Added 2 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 2 hours ago
SE
Lead RTL Engineer
Schweitzer Engineering Laboratories (SEL)
Burnaby, BC · Canada - Burnaby
- $105,600 to $158,400 CAD / year
- Full-time
Schweitzer Engineering Laboratories (SEL) is hiring a Lead Engineer with a focus in VHDL Register-Transfer Level (RTL) Digital Logic design for our R&D Communications product group. In this…
Added 2 hours ago
C
Software Development Engineer in Test
CIBC
Toronto, ON
- Full-time
…suggestions that will ensure client needs are met with the highest quality. As a Consultant, Automation in Testing (SDET) role, you’ll be working within the scrum Agile team for one of the…
Added 2 hours ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
We're looking for a Senior Backend Engineer II to join our Patient Experience team and own the communications platform that keeps patients informed throughout their journey: booking…
Added 2 hours ago
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Associate Quality Engineer - Point of Care (Ottawa)
Abbott
Ottawa, ON
- $59,250 to $86,900 CAD / year
- Full-time
Experience analyzing manufacturing and quality data to support process improvements, risk assessments, validation activities, and continuous improvement initiatives.
Added 2 hours ago
JC
Structural Engineer
Johnson Controls
AB · SA - Edmonton Orion
- Full-time
…and plays a key role in delivering engineered solutions for data center and manufacturing…
Added 2 hours ago
JC
Finite Element Analysis Specialist
Johnson Controls
AB · SA - Edmonton Orion
- Full-time
Silent-Aire is a premier owner equipment manufacturer dedicated to providing custom solutions for data center customers. Our product line includes large-scale equipment such as air handling…
Added 2 hours ago
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Software Engineer, GPU Inference
Cerebras
Toronto, ON
- Full-time
We are hiring a Software Engineer to productionize and optimize our GPU serving stack, working across our custom inference APIs, the vLLM serving runtime, the AMD ROCm software stack, and…
Added 2 hours ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Implement data quality checks, validation, and monitoring.
Added 2 hours ago
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Technician, Structures YYZ
Porter Airlines Inc.
Mississauga, ON
- Full-time
Coordinate with Embraer Engineering to assess structural damage and determine appropriate repair solutions in accordance with approved technical data.
Added 2 hours ago
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GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
AI Response Validation: Analyze and validate AI-generated outputs to ensure they meet quality standards, are contextually appropriate, and align with user needs.
Added 2 hours ago
RL
Optical Engineer II
Rocket Lab
Toronto, ON
- Full-time
Based out of Rocket Lab's site Sinclair Interplanetary in Toronto, Ontario, Canada, the Optical Engineer II reports to the optical lead and is responsible for supporting development and…
Added 2 hours ago
AI
Senior Embedded Software Engineer
Aversan Inc.
Montreal, QC
- Full-time
Reverse engineer existing software to derive architecture, data flows, interfaces, and detailed design artifacts.
Added 2 hours ago
Test Development Team Lead
Nureva
Calgary, AB
The ideal candidate is a strong software engineer with a passion for quality, automation, and
Added 3 hours ago
AL
Civil Engineer (Geotechnical)
AGAT Laboratories
Calgary, AB
- Full-time
…and rock testing procedures. We are currently seeking a Civil Engineer with a P.Eng. designation, specializing in Geotechnical Engineering, to support our laboratory-based geotechnical…
Added 3 hours ago
Control and Automation Engineer
Hatch
Fredericton, NB
Hatch is currently seeking a highly motivated Instrumentation & Control Engineer to join our team in Fredericton, New Brunswick.

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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