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Added 8 mins ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
…systems using Google ADK and MCP, while developing scalable AI platform capabilities on…
Added 8 mins ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously…
Added 25 mins ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Veriday is seeking an experienced Senior Microsoft Dynamics CRM Developer / Technical Architect to join our client team based in Toronto for a 6-month contract position with the possibility…
Added 52 mins ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
We’re a small, high-impact, AI-Native consulting firm building at the intersection of Data and AI. We leverage cutting-edge AI to build custom, production-grade systems for our clients. We…
Added 53 mins ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
…significant digital transformation initiatives across enterprise data, AI, banking integration, risk, finance, treasury, and AML…
Added 53 mins ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
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- Full-time
Cloud & Platform Engineering: Experience with cloud data platforms, Docker, Kubernetes, Airflow, Git, distributed computing, and infrastructure automation.
Added 55 mins ago
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Technical Analyst (Quicksight, SQL and Redshift)
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- Full-time
Be responsible for Business Intelligence platform administration, user governance and collaboration with data engineering and business stakeholders
Added 55 mins ago
Client Software Engineer - EA Sports™ FC
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Added 1 hour ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data & Analytics Solutions Architect- AI/ML
Added 1 hour ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Proven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform…
Added 1 hour ago
AC
Senior System Architect
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- Full-time
Security, Data Protection & AI Governance: Define and govern the infrastructure security baseline using Microsoft Defender, Microsoft Purview, Delinea, Intune, PolicyPak, and related…
Added 1 hour ago
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Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
Elevate focus on applications and data as differentiators for the customer experience, anchored in sound foundational elements of Infrastructure and Platforms
Added 1 hour ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
Added 1 hour ago
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Technologies numériques - Opérations manufacturières : Analyste des systèmes MES / Digital Technologies - Manufacturing Operations: MES Systems Analyst
RTX
Longueuil, QC
- Full-time
Added 2 hours ago
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Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 2 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Proven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform…
Added 2 hours ago
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Data Solution Architect
Hays
Toronto, ON
- Contract
Role Overview: We are looking for an experienced Data Solution Architect to lead the design, build, and scaling of our modern data platform and data products. In this role, you will bridge…
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 2 hours ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 3 hours ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Architect end-to-end AI pipelines using OCI GenAI Services, Oracle Data Science platforms, and Autonomous Database.
Added 3 hours ago
FI
Staff Supply Chain Simulation Scientist
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse…
Added 3 hours ago
FI
Senior Simulation Scientist
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Remote, Canada
- Full-time
- Remote
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse…
Added 4 hours ago
TC
Data & Analytics Solutions Architect - Hadoop
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Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Senior years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 4 hours ago
TI
Delivery Lead
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Toronto, ON
- Contract
8+ years in software engineering, with 5+ years hands on on the Salesforce platform (Sales, Service, Experience, or Financial Services Cloud).

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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