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Global Team Lead SC Material Master Data
BASF
Calgary, AB
- Full-time
Now hiring! Global Team Lead SC Material Master Data
Added 4 mins ago
JG
Technical Architect for Box Capital Markets
J&M Group
Toronto, ON
- Contract
Lead detailed design of enterpriselevel technology projects from inception to production Supervise configuration quality assurance testing and deployment
Added 4 mins ago
FP
Chief Financial Officer
Fresh Prep 🇨🇦
Canada
- Full-time
…growing grocery marketplace to customers across the country, from production facilities in British Columbia, Alberta, and Quebec, with operations in Ontario. We're a team of over 600 people…
Added 4 mins ago
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Industrial Maintenance Technician
Bartlett
Oxbow, SK
- Full-time
Effectively coordinate the required facility or equipment downtime to minimize business interruptions and lead coordination with external contractors as required
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PN
Senior Director of Engineering – Power Electronics
Pasona N A, Inc.
Toronto, ON
- $220,000 to $240,000 CAD / year
- Full-time
A global electronics company is seeking an experienced Senior Director of Engineering to lead an international engineering organization of approximately 100 team members across North…
Added 4 mins ago
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Afternoon Production Supervisor Featured
Entripy Custom Clothing
Oakville, ON
- Full-time
…company to offer one of the fastest turnaround times, on demand production and an effortless fulfillment process unmatched within the…
Added 5 mins ago
Area Manager II
Amazon
Ottawa, ON
…buildings. Amazon is seeking customer focused individuals to lead a team of hourly employees across our Operations network! Our warehouses are fast-paced environments where standing,…
Added 5 mins ago
Heavy Equipment Operator
Sublatus Inc.
MB
…next 3–5 years, we are building a team of top talent who can lead high impact projects with technical excellence and operational discipline. ‑term environmental outcomes. As we scale…
Added 5 mins ago
Site Supervisor
Sublatus Inc.
MB
…with environmental, regulatory, and quality standards. You lead crews, coordinate equipment and subcontractors, and act as the on-site link between field teams, Project Managers, and…
Added 19 mins ago
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Nutrition & Food Services Coordinator
Southern Health-Santé Sud
Winkler, MB
- Full-time
Under the direction of the Lead - Nutrition & Food Services or Designate, the Coordinator - Nutrition & Food Services manages and coordinates the day to day operations of Nutrition & Food…
Added 20 mins ago
GV
Lead Millwright/Electrician
Golden Valley Foods LTD.
Abbotsford, BC
- $47.23 to $50.63 CAD / hour
- Full-time
…processing equipment sets us apart and drives our commitment to lead the industry in sustainability, safety, and automation. In addition, our facilities are food safe certified ensuring the…
Added 20 mins ago
NI
Warehouse Supervisor
Norseman Inc main
Newmarket, ON
- Full-time
…manufacturing team to ensure raw materials are supplied to the production floor in a timely manner. The Warehouse Supervisor is responsible for directing and leading the department in day…
Added 34 mins ago
CI
Ingénieur mécanique principal / Senior Mechanical Engineer
Calian in Space & Technology
Vaudreuil-Dorion, QC
- Full-time
…Senior Mechanical Design Engineer. The successful candidate will lead the design, analysis, development, production, maintenance and upgrades of large antenna systems. Projects will include…
Added 35 mins ago
FA
Production Scheduler
FTAI Aviation LLC
Montreal, QC
- Full-time
Lead daily production meetings and follow up on schedule adherence and constraints
Added 35 mins ago
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Team Leader
Brookdale Treeland Nurseries
Niagara-on-the-Lake, ON
- $20 CAD / hour
- Temporary
Lead and motivate crews across production, potting, plant care, Christmas production, and more
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Airbus Canada - Coordonnateur Avion / Aircraft Coordinator
Airbus
Mirabel, QC
- Full-time
…coordinatrices/coordinateurs d’avion pour rejoindre notre équipe de Production basée à Mirabel (Québec, Canada), où vous mettrez à profit vos compétences en étant au cœur des opérations de…
Added 35 mins ago
DC
Program Manager
DATA Communications Management Corp
Brampton, ON
- $65,149 to $81,436 CAD / year
- Full-time
Lead client project activities, including responding to inquiries and executing direct mail, print, production, estimating, inventory, kitting/fulfillment, and client deliverables
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Senior Buyer - Machining & Fabrication
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Southgate, ON · Sudbury, ON · Barrie, ON · North Bay, ON · Collingwood, ON
- $78,000 to $90,000 CAD / year
- Full-time
…competitiveness, and commercial compliance in support of Engineering, Production, new product introduction, and capital…
Added 35 mins ago
ME
Production Supervisor - Assembly & Materials
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Collingwood, ON
- $80,000 to $100,000 CAD / year
Position: PRODUCTION SUPERVISOR – ASSEMBLY/MATERIALS
Added 49 mins ago
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Senior Project Manager, Brand Experiences
Altis
North Vancouver, BC
- $60 to $75 CAD / hour
- Contract
Working alongside creative teams, marketing leaders, agencies, and production partners, you'll bring structure to ambitious ideas while fostering collaboration. This is an exciting…
Added 49 mins ago
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Production & Technical Manager
Puratos
Mississauga, ON
- Full-time
The Production & Technical Manager is responsible for the safe, efficient, and reliable operation of the manufacturing facility by leading both Production and Technical…
Added 49 mins ago
KG
Principal Rock Mechanics Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Lead the identification, assessment, communication, and mitigation of geotechnical hazards and risks across underground operations, projects, and studies.
Added 49 mins ago
FP
Commissary Manager
Freshslice Pizza
Oakville, ON
- $80,000 to $90,000 CAD / year
- Full-time
Lead, train, and schedule production staff, including bakers, packers, and sanitation workers. Ensure proper staffing levels and shift coverage.
Added 50 mins ago
KA
Parts Counter Support
KF Aerospace
Kelowna, BC
- $21.18 to $25.65 CAD / hour
- Full-time
…consists of three roles: Counter Support, Materials Support and Production Support. Each employee starts as Counter Support but can be cross trained in all three positions to determine the…
Added 50 mins ago
KA
Aircraft Maintenance Engineer - Structures Licensed
KF Aerospace
Kelowna, BC
- $38.03 to $45.65 CAD / hour
- Full-time
Reporting to an AME-S Shift Lead, the AME-S is an experienced licensed mechanic responsible for performing line and heavy maintenance in a safe and efficient manner.

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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