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Added 1 hour ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…application security initiatives for our clients. You will architect deeply technical solutions, lead cross-functional engineering pods, and convert client ambiguity into shipped…
Added 1 hour ago
NB
Salesforce Application Architect
National Bank of Canada
Montreal, QC
- Full-time
A career as a Salesforce Application Architect within the commercial CRM team at National Bank means serving as an expert in designing Salesforce solutions and artificial intelligence. You…
Added 3 hours ago
M
Senior Solution Architect
Manulife
Toronto, ON
- Full-time
Proven experience as a Solution Architect with strong exposure to digital transformation.
Added 5 hours ago
LLM Engineer
ZS
Toronto, ON
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
Added 6 hours ago
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Systems Architect
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled Cloud Architect with over 10 years of Salesforce experience, including a minimum of 3 years in a technical lead role. The ideal candidate will…
Added 6 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 6 hours ago
ML
Business Solutions Architect - up to 2 positions
Manitoba Liquor and Lotteries
Winnipeg, MB
- $99,923.2 to $134,950.4 CAD / year
- Full-time
- On-site
…Reporting to the Manager, Product Area, the Business Solutions Architect is responsible for cross-functional collaboration within assigned Product Teams and with all levels of the…
Added 7 hours ago
C
Full Stack Developer (Java + Angular)
CGI
Halifax, NS
- Full-time
…environments. You will provide technical leadership, drive solution design, develop high-quality software, and solve complex distributed system challenges while mentoring team members and…
Added 9 hours ago
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AI Solution Architect
Virtusa
Toronto, ON
- Full-time
Embed transparency, explain ability, audit trails, and data-lineage tracking in every solution.
Added 9 hours ago
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Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
We’re looking for a Cloud Solution Architect (CSA) focused on Cloud & AI Data to help customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. In this…
Added 9 hours ago
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AI Solution Lead
Virtusa
Toronto, ON
- Full-time
We are seeking a highly skilled GEN AI Architect with a strong focus on Agentic AI to join our team. The ideal candidate will possess extensive knowledge and experience in generative AI…
Added 9 hours ago
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Member of Technical Staff
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity,…
Added 9 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking an experienced OpenText InfoArchive Solution Architect to lead the design and implementation of information archiving and application decommissioning solutions.…
Added 9 hours ago
V
Systems Architect
Virtusa
Toronto, ON
- Full-time
…candidate will be responsible for managing Power BI architecture, data modeling, dashboard development, performance optimization, governance, and stakeholder engagement, while leading a…
Added 9 hours ago
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Architect
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled and strategic Solution Architect to join our technology team. In this role, you will be responsible for translating complex business…
Added 9 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 9 hours ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
Added 9 hours ago
B
Senior Agentforce Architect
bubblestack
Vancouver, BC
- Full-time
Role Description The Senior Agentforce Architect is a full-time, on-site role based in Vancouver, BC, responsible for leading the design and implementation of Agentforce and AI agent…
Added 10 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native…
Added 11 hours ago
JG
Technical Architect for Box Capital Markets
J&M Group
Toronto, ON
- Contract
Strong understanding of integration technologies single signon Enterprise Mobility Management BYOK Data Masking Data Loss Prevention and cloud solution architecture patterns
Added 11 hours ago
CI
Salesforce Revenue Cloud Architect
CloudKettle Inc
Toronto, ON
- $135,000 to $150,000 CAD / year
- Full-time
Have a current Salesforce Application Architect, System Architect (or) B2B Solution Architect Certification along with one of the following:
Added 13 hours ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data & Analytics Solutions Architect- AI/ML
Added 13 hours ago
O
Analyste-programmeur(se) full stack
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 13 hours ago
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Analyste-programmeur(se) full stack
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 13 hours ago
JG
Data & Analytics Solutions Architect
J&M Group
Canada
- Full-time
We are hiring for a Data & Analytics Solutions Architect AWS & Databricks

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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