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Added 10 mins ago
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Engineering Lead – Structural
SYSTRA
Montreal, QC
- Full-time
Reporting to the Facilities Design Director, within the Co-Development Phase of the ALTO programme, the Engineer Lead will provide technical governance, lead design, coordination and…
Added 12 mins ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…
Added 39 mins ago
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Principal Process Automation & Controls Engineer
Worley
Calgary, AB
- Full-time
The Principal Process Automation & Controls Engineer is responsible for providing control system engineering support for industrial facilities and projects. The role requires an…
Added 39 mins ago
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Electrical Engineer/Designer
Grantek
Burlington, ON
- Full-time
The Electrical Engineer/Designer at Grantek is an exciting opportunity for an intermediate to senior-level professional with a strong background in electrical design and industrial control…
Added 54 mins ago
AI
Senior CDN & Edge Reliability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Participate in the shared on-call rotation as the platform’s subject-matter escalation, and lead incident management for customer-facing events.
Added 55 mins ago
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Process Engineer
Worley
Vancouver, BC
- Full-time
The process engineer will lead or work with other lead engineers on the process design for projects and proposals in accordance with design standards or “understood” acceptable practices.
Added 55 mins ago
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Lead Electrical Engineer, Power Distribution
Worley
Oakville, ON
- Full-time
We are currently recruiting for a Lead Electrical Engineer to support one of our major projects in Ontario. Our team includes world class experts and dynamic go-getters. This is a full-time…
Added 55 mins ago
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Lead Electrical Engineer, Power Distribution
Worley
Markham, ON
- Full-time
We are currently recruiting for a Lead Electrical Engineer to support one of our major projects in Ontario. Our team includes world class experts and dynamic go-getters. This is a full-time…
Added 55 mins ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
Act as the lead solution architect for assigned AI, integration, and enterprise transformation initiatives.
Added 55 mins ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
Senior Site Reliability Engineer – Adobe Experience Manager (AEM), CDN and Edge Delivery
Added 55 mins ago
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Senior Process Automation & Controls Engineer
Worley
Calgary, AB
- Full-time
Lead the development, review, and implementation of Instrumentation & Controls (I&C) engineering deliverables for customer projects and operating facilities.
Added 55 mins ago
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Senior Process Automation & Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
Lead the development, review, and implementation of Instrumentation & Controls (I&C) engineering deliverables for customer projects and operating facilities.
Added 55 mins ago
SS
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 55 mins ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps
Added 57 mins ago
Staff Software Engineer
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 57 mins ago
DC
Intermediate/Senior Noise Engineer
Dillon Consulting Limited
Calgary, AB · Edmonton, AB
- Full-time
We are currently seeking a Intermediate/Senior Noise Engineer to join our Atmospheric Services team. Our team specializes in in the atmospheric and acoustic solutions that safeguard both…
Added 57 mins ago
DC
Intermediate/Senior Air Quality Engineer
Dillon Consulting Limited
Calgary, AB · Edmonton, AB
- Full-time
We are currently seeking a Intermediate/Senior Air Quality Engineer to join our Atmospheric Services team. Our team specializes in in the atmospheric and acoustic solutions that safeguard…
Added 1 hour ago
EI
Intermediate / Senior Groundwater Modeller
Egis in Canada
Mississauga, ON
- $90,000 to $140,000 CAD / year
- Full-time
Lead and support proposals and business development efforts.
Added 1 hour ago
EI
Construction Manager, Land Development
Egis in Canada
AB · Edmonton, AB
- $130,000 to $170,000 CAD / year
- Full-time
Lead in preparing and maintaining project schedules.
Added 1 hour ago
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Analytics Engineer - Consultant or Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered…
Added 1 hour ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
Participate in the shared on-call rotation as the platform’s subject-matter escalation, and lead incident management for customer-facing events
Added 1 hour ago
L
Staff Software Engineer
Lantern
Vancouver, BC
- Full-time
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 1 hour ago
ON
Manager Train Service
Ontario Northland
ON
- $127,790 to $150,332 CAD / year
- Full-time
Lead day-to-day mainline and yard train operations to support safe, efficient and reliable service delivery.
Added 1 hour ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 1 hour ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…

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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