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Added 9 mins ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Platform and reliability: a major cloud (Azure preferred), containerized deployment with Docker and Kubernetes, CI/CD, observability, and automated quality gates on a service you ran in…
Added 9 mins ago
RC
Manufacturing Engineer
Randstad Canada
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
As the Lead Manufacturing & Sustaining Engineer, you will take ownership of sustaining engineering initiatives while driving manufacturing readiness for new product introductions (NPI).…
Added 9 mins ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business…
Added 26 mins ago
SL
Senior Software Engineer, Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
The e-Business team in Application Operations Support (AOS) provides operations and support services to ensure reliability of IT applications. Through innovation, continuous improvement,…
Added 39 mins ago
AI
Senior Site Reliability Engineer - AEM - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Own third-party scripts and tag governance as a reliability control. Tags are the dominant cause of performance regressions and are added by teams outside engineering change control; you…
Added 39 mins ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
…are seeking a highly technical and hands-on Senior Platform Engineer to drive the evolution of our hybrid infrastructure ecosystem spanning on-premises datacenters, cloud platforms,…
Added 39 mins ago
M
Business System Analyst
MethodHub
Vancouver, BC
- Contract
…and measure the platform’s impact on developer productivity, reliability, and compliance. The individual will be expected to step into Scrum Lead responsibilities for the platform team when…
Added 39 mins ago
AI
Flight Software Engineer
Aversan Inc.
Brampton, ON
- $112,000 to $140,000 CAD / year
- Contract
We are currently seeking a qualified Senior Flight Software Engineer/MTS to join our team. In this role, you will lead designs for safety critical, real-time software solutions while…
Added 39 mins ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Maintain continuous focus on work output quality and reliability, acting as the champion of customer satisfaction in a proactive manner and as the final escalation point for technical and…
Added 41 mins ago
Director, High Voltage Infrastructure, Pacific Link
Trans Mountain
Calgary, AB
…constraints and risks are understood, and recommended designs meet reliability, affordability, and long-term operating…
Added 41 mins ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
…architecture and system design - orchestration patterns, integration, reliability, and evaluation - for industrial-grade AI agent systems that augment and automate real business workflows…
Added 41 mins ago
SE
DevOps Engineer
SWTCH Energy Inc.
Remote, Canada
- Full-time
- Remote
SWTCH is looking for a highly motivated DevOps Engineer to join our growing tech team. Reporting to the Director of Engineering, you will design, build, and optimize automated deployment…
Added 56 mins ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale…
Added 1 hour ago
EA
Aircraft Maintenance Engineer Support (YUL) / Technicien(ne) d'entretien d'aéronefs - Soutien
Execaire Aviation
Dorval, QC
- Full-time
Added 1 hour ago
S
DevOps Engineer
SWTCH
Toronto, ON
- Full-time
SWTCH is looking for a highly motivated DevOps Engineer to join our growing tech team. Reporting to the Director of Engineering, you will design, build, and optimize automated deployment…
Added 1 hour ago
PC
Senior RAM Engineer
Parsons Corporation
Edmonton, AB
- Full-time
We are seeking an experienced Senior RAM Engineer to lead Reliability, Availability, and Maintainability (RAM) activities for major railway and transit projects. The successful candidate…
Added 1 hour ago
PC
Senior Safety & RAM Engineer
Parsons Corporation
Edmonton, AB
- Full-time
Parsons is now hiring a Senior Safety & RAM Engineer working within a team of professionals working on specific projects or helping to develop our expanding portfolio of projects. This role…
Added 1 hour ago
C
Senior Web Developer - Front End (React, JS)
CIBC
Toronto, ON
- Full-time
As a Senior Software Engineer - Front End Development, you'll design and build customer-facing banking applications using modern front-end technologies such as React and Vue.js. You'll…
Added 1 hour ago
B
Power Engineer - 3rd Class
BGIS
Peace River, AB
- Full-time
The 3rd Class Power Engineer performs operational work in a central heating and cooling plant or central heating plant and reports to the Maintenance Team Leader - MTL. BGIS functions to…
Added 1 hour ago
E
AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Experience with AI evaluation frameworks and techniques for measuring LLM accuracy and reliability.
Added 1 hour ago
MM
Reliability Engineer / Project Engineer
Mohebi Martin Brower Logistics LLC
New Westminster, BC
- Full-time
Primary role of the Reliability/ Project Engineer is to identify, manage, improve equipment run time and preventative maintenance program. At the same time, the role requires hands-on work…
Added 1 hour ago
Manufacturing Technician - Test Operator
INNIO
Welland, ON
…Welland Ontario Canada, reporting to the Lead Production Test Engineer. In this role, you will lead the operation and troubleshooting of highly complex engine and generator test bench…
Added 1 hour ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.
Added 1 hour ago
E
Engineer in Training I
Enbridge
Edmonton, AB
- Full-time
…excellence and innovation. We are seeking a Pipeline Integrity Engineer-in-Training I to join our…
Added 1 hour ago
Upstream Engineer - Students Seeking Opportunities
ExxonMobil
AB · Calgary, AB
…integrity, controls, machinery, electrical, instrumentation, and reliability…

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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