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Added 12 mins ago
CN
Director of Financial Strategy
Canada's National Ballet School
Toronto, ON
- $130,000 to $140,000 CAD / year
- Full-time
Finance Transformation and Team Leadership: Modernize systems, processes, and workflows to improve efficiency, data quality, and automation, while mentoring and developing Finance staff in…
Added 12 mins ago
ZT
Développeur de logiciels, professionnel II/ Software Engineer, Professional II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
We are seeking a talented Software Developer in Montreal, QC to be part of the development of our cutting-edge visual programming tool for machine vision inspections.
Added 12 mins ago
B
Lifecycle Optimization Manager
BGIS
Markham, ON
- Full-time
Evaluate the envelope, structure, roofing, electrical, plumbing, HVAC/mechanical, life-safety, site works, vertical transportation, and building automation systems as an integrated building.
Added 25 mins ago
WI
Senior GIS Analyst
WSP in Canada
Terrace, BC
- Full-time
At least ten years of relevant experience with Geographic Information Systems and particularly ESRI products (ESRI ArcGIS Pro, ArcGIS 10.X, and extensions, ArcGIS Online/Portal/WebApps)
Added 25 mins ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Enhance AI systems with reasoning capabilities, tool usage, and workflow automation.
Added 25 mins ago
P
Workforce Intelligence Analyst
PTAG
Markham, ON
- Full-time
…Advisors. The role combines workforce analytics, data management, business intelligence, and statistical analysis to identify workforce trends, skill and competency gaps, talent…
Added 25 mins ago
S
Senior FP&A Analyst
Stella-Jones
Montreal, QC
- Full-time
Collaborate with IT and cross-functional teams to improve data integration, enhance reporting systems, and drive automation.
Added 25 mins ago
WI
Senior GIS Analyst
WSP in Canada
Vancouver, BC
- Full-time
At least ten years of relevant experience with Geographic Information Systems and particularly ESRI products (ESRI ArcGIS Pro, ArcGIS 10.X, and extensions, ArcGIS Online/Portal/WebApps)
Added 25 mins ago
TT
Application Specialist
TCA Technologies Inc.
Puslinch, ON
- Full-time
5+ years of experience in industrial automation, machine design, manufacturing systems, or automation integration.
Added 27 mins ago
TF
Marketing Content Specialist - Digital Science and Laboratory Automation
Thermo Fisher Scientific
Burlington, ON
- Full-time
The Digital Science and Automation Solutions (DSAS) business designs, develops, and delivers industry-leading laboratory workflow solutions and robotic automation for Pharma, Biopharma, and…
Added 27 mins ago
LC
Programming Engineer
Linamar Corporation
Guelph, ON
- Full-time
…and continuous improvement across production, quality, and automation…
Added 27 mins ago
Senior GIS Analyst
WSP
Vancouver, BC
At least ten years of relevant experience with Geographic Information Systems and particularly ESRI products (ESRI ArcGIS Pro, ArcGIS 10.X, and extensions, ArcGIS Online/Portal/WebApps)
Added 27 mins ago
C
Advisor, Procurement Governance and Systems
Cogeco
Montreal, QC
- Full-time
Bachelor’s Degree or College Diploma in Supply Chain Management, Business Administration, Operations Management, Data Analytics, Management Information Systems (MIS), or Engineering. Supply…
Added 27 mins 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 27 mins ago
NG
Finance Business Systems Analyst
NFI Group Inc.
Remote, Canada
- Full-time
- Remote
Join a highly visible Finance Business Systems team that sits at the intersection of Finance, Tax, Technology, Analytics, AI, and Business Transformation. Our team supports enterprise…
Added 42 mins ago
Sales Representative Intern (Sep-Dec 2026)
ProCogia
Vancouver, BC
ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes…
Added 42 mins ago
AC
Data Solutions Analyst
Air Canada
Dorval, QC
- Full-time
…delivering standardized reporting and data solutions that support business units across the…
Added 42 mins ago
DC
IT Systems and Security Specialist
DMCL Chartered Professional Accountants
Vancouver, BC
- Full-time
…identity, endpoints, infrastructure, networks, cloud services, and business applications while contributing to security operations, automation, documentation, and modernization…
Added 42 mins ago
Bilingual Senior Specialist, Software Engineering (Functional - D365 ERP F&O)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Bilingual Senior Specialist, Software Engineering (Functional - D365 ERP Finance & Operations) position, where the next generations of…
Added 42 mins ago
E
Analyste QA senior, SDET – Tests de paiements, d’API et d’événements / Senior QA Analyst, SDET – Payments, API & Event Testing
Expleo
Montreal, QC
- Contract
Added 56 mins ago
BO
Solutions Architect
Bank of Canada
Calgary, AB
- Temporary
…creating architectures for the development and integration of business and information systems to enable streamlined application interfaces, improved application redundancy, efficient…
Added 56 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 58 mins ago
Senior FP&A Analyst
Stella-Jones
Montreal, QC
Collaborate with IT and cross-functional teams to improve data integration, enhance reporting systems, and drive automation.
Added 1 hour ago
Supply Chain Co-op Student (Winter 2027)
4AG Robotics
Salmon Arm, BC
Join 4AG Robotics for your next co-op or internship term and help shape the future of agricultural automation. As part of our Supply Chain team, you’ll help make sure the right parts and…
Added 1 hour ago
C
Application Development Senior Manager - Vice President
Citi
Mississauga, ON
- Full-time
…effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications…

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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