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Added 5 mins ago
FI
Accounting Manager
Formations Inc
AB · Edmonton, AB
- Full-time
Lead month-end and year-end close processes, including preparing and reviewing of journal entries and reconciliations
Added 5 mins ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
…regulated bank. As Director, DevOps Regulatory Engineering, you'll lead the engineering team that translates regulatory and security expectations into controls in the delivery pipeline,…
Added 18 mins ago
B
Project Manager - Telecommunications
BAAC
Calgary, AB
- Full-time
In this role, you will own project execution, including schedule, cost and financial forecasting, subcontractors, permitting coordination, and stakeholder communication. You will be…
Added 18 mins ago
HP
Senior Project Manager
HOCS Projects
Calgary, AB
- Full-time
HOCS Projects is seeking a Senior Project Manager to lead the successful delivery of multi-disciplinary engineering projects across the energy sector. This role is accountable for project…
Added 18 mins ago
B
Intern, Program Analyst - Multi-Platform Customer Request Management, Program Team, (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
Organize and lead multidisciplinary meetings, collaborating with experts from various fields.
Added 18 mins ago
MB
Brewing Quality & Product Development Lead
Miski Brewing Company
Barrie, ON
- Full-time
We are seeking an experienced, hands-on Brewing Quality & Product Development Lead to help strengthen our quality systems, develop innovative products, improve production processes, and…
Added 18 mins ago
AF
Financial Planning and Analysis Manager
Armstrong Fluid Technology
Toronto, ON · Scarborough, ON
- $110,000 to $130,000 CAD / year
- Part-time
Schedule and lead monthly cost center review meetings with major budget owners to assess actual spending against budget and forecast.
Added 18 mins ago
WR
Vice President, Real Estate Debt & Financing
Wealthy Recruiting
Montreal, QC
- Full-time
The company is seeking an experienced Vice President, Real Estate Debt & Financing to lead debt financing activities across its Canadian and U.S. real estate portfolio. Reporting directly…
Added 18 mins ago
VF
Manager, RBT2 Performance Analytics and Information Management
Vancouver Fraser Port Authority
Vancouver, BC
- Full-time
Provide oversight of the integration of field data, contractor systems, design data, cost, schedule, risk, and commercial systems into a unified information ecosystem (leveraging a…
Added 18 mins ago
VF
Manager, RBT2 Program Controls
Vancouver Fraser Port Authority
Vancouver, BC
- Full-time
Own the integrated program capital and operating cost estimates, ensuring the overall program estimate is cohesive, complete, with clear assumptions and reflects a balanced program…
Added 18 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Lead cloud migration strategies and multi-region infrastructure design.
Added 20 mins ago
T
Product Manager
TD
Toronto, ON
- Full-time
- Understanding the cost input into our DC portfolio for annual rate setting on Enterprise Data Centers; this will be a key driver to cost savings initiatives. The main source of cost…
Added 34 mins ago
BH
Bar Manager - Three Bears Brewery & Restaurant
Banff Hospitality Collective
Banff, AB
- Full-time
…operations and overseeing inventory in line with demand and cost objectives. The main responsibilities of this position include maintaining stock levels, minimizing excess carrying costs,…
Added 34 mins ago
H
Chief Financial Officer
Hero
Calgary, AB
- Full-time
Hero Canada Foods is seeking a Chief Financial Officer (CFO) to lead all finance activities in Canada and serve as a key member of the leadership team. Reporting to the General Manager and…
Added 34 mins ago
S
AEO and GEO Marketing Manager
Stripe
Canada
- Full-time
Stripe is seeking an AEO and GEO Marketing Manager to lead the channel. This individual will play a critical role in growing new user acquisition from platforms including ChatGPT,…
Added 36 mins ago
S
Scientific Research & Experimental Development (SR&ED) Intern - Winter 2027 - 6 Months
Stantec
Toronto, ON
- Full-time
Tracking – follow each lead from identification to completed claim, and record each step
Added 36 mins ago
Logistics Engineering Specialist
Siemens
Concord, ON
Lead improvement projects with measurable cost, quality, delivery, or productivity results.
Added 36 mins ago
IE
Buyer
Industrial Electric Manufacturing
Surrey, BC
- $30 to $32 CAD / hour
…functions directly associated with the company's needs for cost-effective raw materials, tools, parts, and supplies to support engineering and…
Added 36 mins ago
BC
Project Administrator - Buildings East
Bird Construction
Winnipeg, MB
- Full-time
assist with the review of supplier and subcontractor invoices for accurate billings and cost coding (Accounts Payable)
Added 49 mins ago
CG
Supervisor, Mine Maintenance - Shovel and Drill (Mount Milligan)
Centerra Gold Inc.
Fort St. James, BC
- Full-time
Minimum 5 years of supervisory, lead hand, or acting leadership experience.
Added 49 mins ago
TM
Financial Controller
The Miller Group
Markham, ON
- Full-time
…manufacturing or construction operations. This role ensures accurate cost accounting, inventory and WIP valuation, job costing, margin analysis, and compliance with accounting standards,…
Added 49 mins ago
PM
Invoice Team Leader
Patrick Mechanical Ltd.
ON · Ontario, Canada
- Full-time
…Ontario. We are loyal to our customers, providing efficient and cost-effective products and…
Added 49 mins ago
LF
Senior Accountant
Lipman Family Farms
Exeter, ON
- Full-time
Investigate discrepancies in monthly cost reports and effectively communicate findings to relevant managers, including those at the farm level.
Added 49 mins ago
M
Project Manager, IM-Related Level 2
Mindtris
Victoria, BC
- Full-time
…Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resource Management, Project Communications Management, Project Risk…
Added 49 mins ago
R
Director-Global Tax Operations
RBC
Toronto, ON
- Full-time
…successful incumbent must have excellent intrapersonal skills to lead a team with diverse mandates, demonstrating a sound understanding of Operations, and ability to exercise high-stakes…

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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