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Added 1 min ago
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QA/QC Apecialist
Actalent
Burnaby, BC
- $35 to $45 CAD / hour
- Contract
…gauges, and use ERP systems, with NetSuite as the preferred platform, to manage quality data and documentation. The position involves close collaboration with engineering, supply chain, and…
Added 1 hour ago
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D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages system security, licensing, upgrades, and overall environment health, while configuring and…
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…stakeholders and technical execution teams, driving enterprise data modernization initiatives. With over 14 years of experience, the BSA is responsible for understanding complex legacy data…
Added 2 hours ago
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Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 2 hours ago
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Expert Engine Engineer - Treyarch - Vancouver, BC
Activision
Vancouver, BC
- Other
Treyarch, the studio behind the best-selling Call of Duty: Black Ops franchise, is seeking an Expert Engine Engineer to join our Core Engine team. This is an opportunity to help shape the…
Added 3 hours ago
AB
Senior Engine Engineer - Treyarch - Vancouver, BC
Activision Blizzard, Inc.
Vancouver, BC
- Full-time
Treyarch, the studio behind the best-selling Call of Duty: Black Ops franchise, is seeking an Senior Engine Engineer to join our Core Engine team. This is an opportunity to help shape the…
Added 4 hours ago
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Software Engineer, Full Stack
MetAntz
Vancouver, BC
- Full-time
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee,…
Added 4 hours ago
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Building Maintenance Mechanic
Saputo Inc.
Mississauga, ON
- Full-time
Works closely with Data Engineers, architects, platform admin, governance and business SMEs throughout the analytics lifecycle
Added 5 hours ago
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Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
The Senior Data Engineer leads complex data engineering projects, working on designing data
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…IT, overseeing L2/L3 production support, incident management, platform health, and system upgrades. The primary objective is to minimize business disruption, enforce platform best…
Added 5 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 5 hours ago
A
Senior Engine Engineer - Treyarch - Vancouver, BC
Activision
Vancouver, BC
- Full-time
Treyarch, the studio behind the best-selling Call of Duty: Black Ops franchise, is seeking an Senior Engine Engineer to join our Core Engine team. This is an opportunity to help shape the…
Added 5 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Formulate robust integration strategies to seamlessly connect Salesforce with legacy banking backends, third-party fintech applications, and high-volume data lakes.
Added 5 hours ago
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AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
We are building an internal data, AI and automation platform to improve reporting, streamline repetitive work and support business decisions across the organization.
Added 5 hours ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 hours ago
SR
Senior Software Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for a senior software engineer to build the software platform through which AI agents understand, configure, execute, and improve physical workflows. You will work across…
Added 7 hours ago
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Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
Our mission is to make machine learning and AI core to Workday’s products. We build data products and AI solutions designed to scale across hundreds of use cases throughout the Workday…
Added 7 hours ago
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Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 7 hours ago
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Associate, Client Engineering (Mexico City)
Glia
Vancouver, BC
- Full-time
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win…
Added 8 hours ago
Senior Software Engineer - Agentic AI security - 2 positions
Tigera
Vancouver, BC
…running on Kubernetes and beyond. With Lynx by Tigera, we have a platform that discovers agentic AI on any host, secures it through the kernel and our gateway. You will get to work at the…
Added 8 hours ago
MR
Go Engineer
Motion Recruitment
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Our team's partnered with a company who has developed a platform that combines connectivity, integration, analytics and AI into one scalable solution. The overall goal being to simplify…
Added 9 hours ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
We're looking for a Senior Backend Engineer II to join our Patient Experience team and own the communications platform that keeps patients informed throughout their journey: booking…
Added 9 hours ago
Sr. Staff Engineer, IP Runtime
Tenstorrent
Toronto, ON
How custom silicon IP blocks - including RISC-V processor cores, accelerator engines, memory systems, data-movement logic, and interconnects - work together as a complete execution platform.

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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