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Added 12 mins ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
…innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data…
Added 12 mins ago
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Senior Product Manager (KYC - Fraud & Risk)
Trulioo
Remote, Canada
- Full-time
- Remote
Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat…
Added 12 mins ago
DC
Civil Engineering Graduate/Asset Management Analyst
Dillon Consulting Limited
Fredericton, NB · Saint John, NB · Moncton, NB
- Full-time
Support GIS and asset management software teams (e.g., Cityworks, Maximo, Lucity, Cartegraph) with data entry, validation, and system updates.
Added 12 mins ago
DC
Civil Engineering Graduate/Asset Management Analyst
Dillon Consulting Limited
Toronto, ON · Hamilton, ON · Kingston, ON · Oakville, ON · North York, ON
- Full-time
Support GIS and asset management software teams (e.g., Cityworks, Maximo, Lucity, Cartegraph) with data entry, validation, and system updates.
Added 12 mins ago
DC
Civil Engineering Graduate/Asset Management Analyst
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Support GIS and asset management software teams (e.g., Cityworks, Maximo, Lucity, Cartegraph) with data entry, validation, and system updates.
Added 12 mins ago
RB
Portfolio Advisor, Portfolio Construction & Practice Management
Royal Bank of Canada
Toronto, ON
- Full-time
Help support the full suite of PAG portfolios, thought leadership, and capabilities in the field
Added 12 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 12 mins ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
Translate regulatory, risk and security requirements into automated controls in CI/CD and developer tooling
Added 12 mins ago
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Staff Data Scientist, AI Evaluations Platform
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 25 mins ago
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Commercial Services Analyst
Emera Energy
Halifax, NS
- Full-time
…Commercial Services Manager, you will be responsible for providing data management and analytical support to Emera Energy’s Commercial Team. This role will speak to a detail-oriented…
Added 25 mins ago
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Product Manager
GreenShield
Toronto, ON
- $94,406 to $142,069 CAD / year
- Full-time
…without shareholders, we reinvest our excess earnings to directly support underserved communities. Through GreenShield Cares, we positively impacted the health and well-being of over one…
Added 27 mins ago
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Account Manager, Energy and Retail
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital…
Added 27 mins ago
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Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
…planning, governance, and continuous improvement of the Workday platform. Acting as the primary liaison between IT, HR, Finance, Payroll, and other business stakeholders, this role will…
Added 42 mins ago
PRODUCT MANAGER, BENEFIT ADMINISTRATION
Green Shield Canada
Toronto, ON
earnings to directly support underserved communities. Through GreenShield
Added 56 mins ago
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Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 56 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
Job Title: Business Systems Analyst & Developer - Data, AI & Agentic Automation
Added 56 mins ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
…planning, governance, and continuous improvement of the Workday platform. Acting as the primary liaison between IT, HR, Finance, Payroll, and other business stakeholders, this role will…
Added 56 mins ago
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Responsable du marketing produit | Produc Marketing Lead
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
…developments, and be the voice of the market and of adoption data in product planning. When acquisitions or product consolidations happen, you’ll support portfolio and integration…
Added 57 mins ago
Experience Researcher, PLG
Asana
Vancouver, BC
Be a strategic partner: Together with your cross-functional partners (Product, Design, Engineering, Data Science) you’ll uncover how to best introduce users to Asana’s new products,…
Added 57 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
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Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Partner with Product, Marketing, Architecture, Data Engineering, and Agile teams to define platform roadmaps and strategic priorities.
Added 57 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
…Specific in-office days may be set by the team or department to support collaboration and business…
Added 1 hour ago
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Library Scientist
Miratech
Toronto, ON
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 1 hour ago
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Senior Business Consultant
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Toronto, ON
- Full-time
…assistance, summarisation and virtual agents. Document what the platform supports natively, what it supports with configuration or workaround, and what it cannot support. Identify which…
Added 1 hour ago
BR
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Toronto, ON
- $90,000 to $115,000 CAD / year
- Full-time
Practice strong data hygiene; track and report on funnel health, including time-to-fill, source effectiveness, stage pass-through rates, and offer acceptance, and use the data to tell…
Added 1 hour ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier…

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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