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Added 2 hours ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python, PySpark, SQL, and distributed data processing.
Added 3 hours ago
KG
Senior Python Developer (PySpark & AWS Platform Engineering)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Position: Senior Python Developer (PySpark & AWS Platform Engineering)
Added 4 hours ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Forward Deployed Engineer (Python/PySpark + Claude AI + Data & MLOps)
Added 4 hours ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $60 CAD / hour
- Contract
Support senior team members in completing data science development activities and work plans.
Added 5 hours ago
J
Senior Data Engineer
JLL
Toronto, ON · Canada Home Office - ON
- Full-time
As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives.…
Added 6 hours ago
A
Senior Data Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and…
Added 6 hours ago
CI
Director, Public & Alternative Investments, Data Platforms
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…code, automated testing and reusable frameworks while engaging senior stakeholders, investment teams and strategic technology and data…
Added 6 hours ago
Senior Data Analyst
Rogers Communications
Toronto, ON · Brampton, ON
Strong Python and/or PySpark programming and data manipulation experience.
Added 7 hours ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 7 hours ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Forward Deployed Engineer (Python/PySpark, LLM)
Added 7 hours ago
IC
ETL Developer
IT Connex
Canada
- Contract
We are seeking a Senior ETL PySpark Developer to support the development, maintenance, and operation of scalable data platforms and pipelines. The successful candidate will collaborate with…
Added 7 hours ago
RA
Senior Data Scientist (Machine Learning & Generative AI)
Recrute Action
Toronto, ON
- Contract
Proficiency in Python for data science and GenAI application development.
Added 7 hours ago
A
Data Scientist, Ricochet Anti-Cheat (Call of Duty)
Activision
Vancouver, BC
- Other
Competence with Python, SQL, and PySpark for data analysis, data engineering, and production-scale workflows.
Added 7 hours ago
L
Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Contract
Advanced proficiency in Python Core and PySpark, with over 8 years of hands-on experience.
Added 8 hours ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 8 hours ago
E
Data Engineer
E-IT
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 8 hours ago
RA
Data Scientist I – GenAI & Machine Learning
Recrute Action
Toronto, ON
- Contract
Support senior team members in completing data science development activities and work plans.
Added 8 hours ago
KG
Senior Python Developer (PySpark & AWS Platform Engineering)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Position: Senior Python Developer (PySpark & AWS Platform Engineering)
Added 8 hours ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 8 hours ago
KG
Forward Deployed Engineer (Python/PySpark + Claude)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Forward Deployed Engineer (Python/PySpark + Claude + SQL + APIs + Data & MLOps)
Added 1 day ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 day ago
ES
Forward Deployed Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 1 day ago
TC
forward Deployed Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

Tata Consultancy Services

forward Deployed Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 12, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

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.

TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

The opportunity

We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You will embed with business users, client SMEs, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What you will do

Embed with client SMEs, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.
Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them for production.
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Design batch, real-time, and streaming data pipelines and integrations across enterprise systems.
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Create evaluation datasets with client SMEs, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with client teams.
Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.
Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What you bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.
Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.
Experience operationalizing MLOps/LLMOps, including model lifecycle management, automated deployment, monitoring, rollback, and production support.
Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.
Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable designs, define non-functional requirements, estimate effort, and drive implementation.
BFSI experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.
Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

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

Work with client teams to understand workflows, assess data, and build and validate AI and data solutions, taking them from prototype through production launch. Own integrations, operationalization, post-launch reliability and optimization, adoption measurement, and structured handover.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in the listed engineering, data, and MLOps tools. Candidates should also have enterprise cloud and security knowledge, strong client-facing and solution-design skills, BFSI experience, and a bachelor's degree in a relevant discipline; related certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Docker
Airflow
Client-Facing Consulting

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
Encryption
Secrets Management
BFSI
Production Support

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