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Added 15 mins ago
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Senior Product Manager (KYC - Fraud & Risk)
Trulioo
Remote, Canada
- Full-time
- Remote
Serve as the primary voice of the customer, regularly conducting discovery interviews with enterprise clients across financial services, fintech, payments, and regulated industries.
Added 15 mins ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 15 mins ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
Application Development, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Information Technology…
Added 15 mins ago
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Senior Director, Operations
RBC
Toronto, ON
- Full-time
Oversee the design, documentation, and improvement of internal controls, ensuring they meet compliance, audit, and enterprise risk standards.
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Staff Data Scientist, AI Evaluations Platform
RBC
Montreal, QC
- Full-time
RBC’s AI Group is building trusted AI capabilities for the enterprise, and evaluation is one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will…
Added 28 mins ago
CO
Director, Health, Safety, & Organizational Resilience
City of Saint John
Saint John, NB
- Full-time
The Director of Occupational Health, Safety & Organizational Resilience provides enterprise-wide strategic leadership for the transformation, modernization, and continuous improvement of…
Added 28 mins ago
CS
Senior PeopleSoft FSCM Consultant
Confiar Services
Toronto, ON
- Contract
Experience supporting enterprise financial applications in a complex business environment.
Added 28 mins ago
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Senior Back End Developer
Yochana
Brampton, ON
- Full-time
Experience 8-12 Years of overall IT experience with 5+ Years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 28 mins ago
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Commercial Services Analyst
Emera Energy
Halifax, NS
- Full-time
Enter, maintain, and manage natural gas transportation and pipeline tariff data in EE’s Enterprise Risk Management System (ETRM) and Microsoft BI Platform.
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Product Manager
GreenShield
Toronto, ON
- $94,406 to $142,069 CAD / year
- Full-time
…disease management as a ‘provider’. As a non-profit social enterprise without shareholders, we reinvest our excess earnings to directly support underserved communities. Through GreenShield…
Added 28 mins ago
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Manager, Application Services
Douglas College
New Westminster, BC
- Full-time
…provides leadership and operational oversight for the College’s enterprise application services, including business and learning applications, systems integration, application support, data…
Added 28 mins ago
SC
Executive Underwriter (CL)
SPG Canada
Vancouver, BC
- Full-time
We are HUB International's MGA and Delegated Underwriting Authority Enterprise (DUAE) division - insurance entrepreneurs united by a bold vision: to aggregate strengths and deliver…
Added 28 mins ago
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Feature Film Business & Legal Affairs Manager
ZenaTech Inc.
Vancouver, BC
- $85,000 to $95,000 CAD / year
- Full-time
ZenaTech (Nasdaq: ZENA | FSE: 49Q) is a technology company specializing in AI drones, Drone-as-a-Service (DaaS), enterprise SaaS, and quantum computing solutions for mission-critical…
Added 30 mins ago
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Account Manager, Energy and Retail
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
…world leader in Visual and Accelerated Computing, is seeking an Enterprise Sales Account Manager with a proven track record in selling complex technology solutions to our customers within…
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Mainframe Software Engineer II
TD
Toronto, ON
- Full-time
Proven experience in architecture, technical design, and solution development for large-scale enterprise applications.
Added 30 mins ago
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IT Business Analyst
Sodales Solutions
Toronto, ON
- Full-time
…involving system integrations, business process optimization, enterprise applications, and digital transformation…
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AI Principal Architect
Nasdaq
St. John's, NL
- Full-time
Lead the design and development of enterprise architecture solutions across applications, data, infrastructure, and AI - aligned with Nasdaq's strategic direction and governance standards.
Added 30 mins ago
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Associate, Investments and Asset Management
Forum Asset Management
Toronto, ON
- Full-time
Forum Asset Management is a North American investor, developer, and asset manager with a 30+ year track record of delivering long-term value through real estate, private equity, and…
Added 30 mins ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
Familiarity with APIs, integrations, and third-party AI agent frameworks that interact with enterprise SaaS applications.
Added 46 mins ago
BILINGUAL CLINICAL CONSULTANT (MENTAL HEALTH SERVICES) - HYBRID
Green Shield Canada
Montreal, QC
…disease management as a ‘provider’. As a non-profit social enterprise without shareholders, we reinvest our excess earnings to directly support underserved communities. Through GreenShield…
Added 46 mins ago
PRODUCT MANAGER, BENEFIT ADMINISTRATION
Green Shield Canada
Toronto, ON
disease management as a ‘provider’. As a non-profit social enterprise without shareholders, we reinvest our excess
Added 46 mins ago
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Senior Web Developer - Front End (React, JS)
CIBC
Toronto, ON
- Full-time
You have strong front-end engineering experience. You bring 3-5 years of experience designing and developing modern web applications, ideally in complex enterprise or digital product…
Added 46 mins ago
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Java API Developer
BMO
Toronto, ON · BMOPLACE
- Full-time
3+ years experience as a Java developer and API developer, following SDLC and enterprise methodologies for clean secure code (By the book)
Added 1 hour ago
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Director, New Accounts and Documentation
RBC
Toronto, ON
- Full-time
Cross-Enterprise Collaboration – Leverage unit, department, and enterprise-wide teams to develop better solutions and foster a cross-enterprise mindset.
Added 1 hour ago
RC
Open Liberty/WebSphere Liberty-Lead application modernization architect
Realtek Consulting LLC
Toronto, ON
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Design and architect enterprise applications using Open Liberty/WebSphere Liberty.

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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