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Added 3 mins ago
HT
Designer, Development (Electrical)
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 4 mins ago
C
Software Development Engineer in Test
CIBC
Toronto, ON
- Full-time
…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 program following the Agile…
Added 35 mins ago
Test Development Team Lead
Nureva
Calgary, AB
We are seeking a hands-on Test Development Team Lead to lead a small team of test
Added 1 hour ago
RM
Growth Marketing Manager
RE/MAX MILLENNIUM REAL ESTATE
Vaughan, ON
- $70,000 to $90,000 CAD / year
- Full-time
Experience with CRM platforms, marketing automation, email marketing, and lead nurturing.
Added 1 hour ago
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Spécialiste en tests de logiciels senior / Senior Software Test Specialist
Genetec
Remote, Canada
- Full-time
- Remote
As a Senior Software Test Specialist, you will collaborate with developers, product managers, and other quality specialists from design through production. You will help prevent defects,…
Added 1 hour ago
G
Spécialiste en tests de logiciels senior / Senior Software Test Specialist
Genetec
Remote, Canada
- Full-time
- Remote
As a Senior Software Test Specialist, you will collaborate with developers, product managers, and other quality specialists from design through production. You will help prevent defects,…
Added 1 hour ago
RD
SAP QA Test Lead
Randstad Digital
Toronto, ON
- Contract
SAP test automation approaches using tools such as Worksoft, UFT/QTP or Tricentis
Added 1 hour ago
AI
Global Manager, Mechanical Design Manufacturing Solutions
ATS Industrial Automation
Cambridge, ON
- Full-time
At ATS, a publicly traded global company with a proud 40-year history, we help drive the future with our factory-wide automation solutions. At ATS Industrial Automation, what we do matters…
Added 1 hour ago
SC
Director - Digital Marketing
Staples Canada
Richmond Hill, ON
- $125,300 to $156,600 USD / year
- Full-time
Lead the identification, evaluation, business case development, and optimization of marketing technology capabilities that enable personalization, automation, audience activation,…
Added 1 hour ago
I-
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Participate in the shared on-call rotation as the platform subject-matter expert and lead incident management for customer-facing events.
Added 1 hour ago
ZT
Développeur de logiciels, professionnel II/ Software Engineer, Professional II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about - locally…
Added 2 hours ago
C
Senior QA Automation Engineer – Java & Playwright
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
Lead end-to-end testing activities, including test planning, execution, functional validation, defect management, and delivery ownership.
Added 2 hours ago
A
Senior Software Engineer / Member of Technical Staff (MTS)
Akkodis
Brampton, ON
- Contract
Lead the design and architecture of safety-critical, real-time software solutions.
Added 2 hours ago
AC
Lead Customer Project Support Engineer
ALTEN Canada
Markham, ON
- Full-time
…challenges across diverse industries. From Life Sciences to Energy, Automation to Manufacturing, Aviation, Defense. Automotive, Rail and Transportation to Information Systems and…
Added 2 hours ago
CI
Senior Autonomy Validation Specialist / Spécialiste senior de la validation de l’autonomie
Caterpillar Inc.
Laval, QC
- Full-time
…Caterpillar enterprise to advance technologies including autonomy and automation, which helps enhance site safety, productivity and efficiency across customer operations worldwide. Cat…
Added 2 hours ago
Director Strategic Initiatives & Innovation (18 month contract) | Great West
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Lead the end-to-end design and implementation of future-state processes across Accounts Payable, Accounts Receivable, Fixed Assets, Cash Management, Code Block / Chart of Accounts, and…
Added 2 hours ago
T
Information Security Specialist - Risk Management Transformation
TD
Toronto, ON
- Full-time
…sound judgment, analysis, metrics, key risk indicators (KRIs), automation, and evidence-based approaches to identify gaps, recommend solutions, and improve risk-informed…
Added 2 hours ago
C
HR Technology Senior Analyst
CAE
Montreal, QC
- Full-time
…forward. Our corporate functions don’t just support - they lead, shaping the company’s path and preparing clients and employees for the moments that matter. Be part of a team where your…
Added 3 hours ago
W
Principal Process Automation Engineer
Worley
Pickering, ON
- Full-time
…expansion of new business opportunities within the industrial automation sector by leveraging cutting-edge digital, technology, and autonomous solutions. The consultant will play a pivotal…
Added 3 hours ago
AI
Embedded Software Architect
Aversan Inc.
Montreal, QC
- Full-time
Lead the architecture, design, development, and implementation of complex embedded software for space applications, including satellite payload systems.
Added 3 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Leverage Gen-AI/AI capabilities such as Claude, CoPilot, others – to generate code, test data generation and automated testing. Demonstrate keen interest in leveraging automation for…
Added 4 hours ago
LT
Project Automation QA with Adyen
Lorven Technologies Inc.
Canada
- Contract
Functional Test Case creation & execution for Adyen Payment projects including all API's, Boomi/WS integrations & MAO & Revrec changes.
Added 4 hours ago
SE
CRM and Email Operations Specialist
Sports Experts
Laval, QC
- Full-time
…Go-to-Market Manager, this person will work closely with the CRM Lead, content and creative teams, as well as corporate CRM teams at Canadian Tire, to build, integrate, test and deploy…
Added 4 hours ago
M
Operations Planning Analyst
Mark's
Calgary, AB
- Full-time
This is a unique opportunity to gain exposure to forecasting, inventory management, supplier collaboration, reporting, automation, and continuous improvement while developing skills that…
Added 4 hours ago
Agile Team Coach, Direct Venture
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Kitchener, ON · Montreal, QC · North York - Toronto, ON (Hybr, ON
Improve backlog health through refinement, estimation, story slicing, acceptance criteria, dependency management, Sprint Goals, and Test & Learn.

Tata Consultancy Services

Forward deployed Engineer

Toronto, ON, 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.

Must-Have Technical / Functional Skills

Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering enterprise-scale solutions.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, Fast API, 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 Data Ops 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 subject matter experts, business users, and engineering teams through solution validation, production deployment, adoption, and handover.
Strong hands-on data discovery skills, including profiling unfamiliar 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 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 subject matter experts, 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 stakeholders 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 landscapes, 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 stakeholders to deliver production-ready solutions.
Support solutioning, RFP responses, technical demonstrations, effort estimation, and 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 subject matter experts, product owners, and engineers for defined outcomes; map workflows, users, data, constraints, and decision points; and establish measurable success criteria.
Analyze data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.
Build working solutions quickly using real data and APIs, validate with users, and iteratively enhance for security, reliability, maintainability, and production operations.
Create evaluation datasets with subject matter experts, perform model and LLM error analysis, and recommend improvements.
Resolve data access, API, identity, network, security, infrastructure, and deployment blockers in collaboration with platform and engineering teams.
Own post-go-live stabilization by monitoring services, diagnosing failures, addressing latency and cost issues, executing recovery plans when required, and delivering fixes.
Measure adoption and business impact using usage data and agreed KPIs, and communicate outcomes through dashboards, demonstrations, and executive summaries.
Complete structured handovers with runbooks, support ownership documentation, knowledge transfer materials, reusable components, test artifacts, and deployment patterns.

Generic Managerial Skills

Strong problem-solving and decision-making abilities with a balanced focus on business outcomes, technology strategy, security, scalability, and operational excellence.
Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with business, technical, and executive audiences.
Strong consulting mindset with the ability to analyze complex challenges, recommend practical solutions, and clearly articulate architectural trade-offs.
Proven ability to lead and influence cross-functional, distributed teams in a collaborative and fast-paced delivery environment.
High level of ownership, accountability, attention to detail, and commitment to engineering quality and delivery excellence.
Strong planning, prioritization, and multitasking skills with the ability to manage multiple initiatives, stakeholders, and delivery commitments simultaneously.
Ability to mentor engineers and architects, foster knowledge sharing, and drive adoption of engineering best practices.
Adaptability and resilience to work effectively in rapidly evolving technologies, business priorities, and stakeholder environments.

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

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

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 enterprise AI and data applications, pipelines, and cloud solutions, including Claude-powered workflows, while ensuring security, reliability, performance, and cost efficiency. Work directly with stakeholders to validate solutions, lead production deployment and support, measure adoption and business impact, and provide technical leadership and handover.

Requirements

Requires demonstrated experience delivering enterprise-scale data engineering, AI applications, cloud data platforms, and production software, 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 specified, along with BFSI experience, strong consulting and stakeholder skills, and the ability to work onsite or travel when needed.

Skills

Python
PySpark
SQL
Data Engineering
AI Application Development
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
REST APIs
FastAPI
Cloud Data Platforms
MLOps
LLMOps
Kubernetes
Client-Facing Consulting

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
Git
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
BFSI
Data Quality
Observability
Production Support

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