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Urban Ridge Supplies

AI Deployment & Solutions Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

About the Company

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.

About the Role

The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform technologies.

The Technical Lead works directly with customer stakeholders, architects and engineering teams to understand business problems, define the technical approach, rapidly develop prototypes, and lead solutions through engineering integration and production deployment.

Unlike a traditional development lead, the FDE Technical Lead is expected to operate effectively in ambiguous environments, make pragmatic technical decisions, write and review code, troubleshoot complex issues, and take end-to-end ownership of customer outcomes.

Key Responsibilities

Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
Translate customer requirements and business problems into scalable technical solutions.
Own the end-to-end technical implementation from discovery and prototyping through production deployment.
Design and develop application services, APIs, integrations and AI-enabled solutions.
Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
Define application architecture, APIs, data flows, integration patterns and deployment approaches.
Guide engineers across software, AI, data, cloud and platform technologies.
Review code and ensure engineering quality, security, scalability and maintainability.
Diagnose complex application, data, integration, infrastructure and production issues.
Drive solutions from prototype to production-ready implementation.
Mentor junior and graduate FDEs and provide technical support and guidance.
Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.

Required Qualifications

Bachelor's or master's degree in computer science or related field.
Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
Experience developing backend services, APIs, and distributed applications.
Experience processing and transforming structured and /or unstructured data.
Hands-on experience with at least one major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
Experience in Git, testing frameworks, code reviews and modern software engineering practices.
Strong debugging and troubleshooting capabilities.
Hands-on exposure to:
Large Language Models and Generative AI application development.
LLM APIs and model integration.
Prompt engineering and structured outputs.
RAG architectures.
Embeddings and vector search/vector databases.
Understanding of AI application performance, security and cost considerations.
Integration of AI capabilities into enterprise applications.
Understanding of production monitoring, logging and observability.

Good to Have

Experience delivering solutions in customer-facing environments.
Experience leading small Agile engineering teams.
Hands-on experience with enterprise GenAI implementations.
Experience with vector databases such as pgvector, Pinecone, Weaviate, Milivus or similar technologies.
Experience with frameworks for building AI applications and agents.
Cloud and/or AI certifications.

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.

Job Id: eD/Cfv1QRyZtutClMEXuyINNwwShsRsRTkQwGn3hdoZQnOmRoGeY1x3nHPH5qLlZgbBvdWvl5t4IyioOZyG0HF8qD93n6rn80g==

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More about this job

Responsibilities

The Technical Lead will drive end-to-end technical solutions by translating business problems into scalable architectures and leading engineering teams through development and production deployment. They are responsible for hands-on coding, prototyping, and mentoring junior engineers while ensuring high standards for security and performance.

Requirements

Candidates must hold a bachelor's or master's degree in computer science or a related field with strong programming skills in languages like Python, Java, or C++. The role requires hands-on experience with cloud platforms, AI/GenAI technologies, and a proven ability to troubleshoot complex enterprise-level applications.

Skills

Python
Java
JavaScript
C++
Cloud Computing
Generative AI
Large Language Models
RAG Architectures
Vector Databases
API Development
Software Engineering
System Integration
Technical Leadership
Agile Methodologies
Debugging
Prompt Engineering

Visa sponsorship

Not detected in the job text

Keywords

AI Deployment
Solutions Engineering
GenAI
Cloud Platforms
AWS
Microsoft Azure
Google Cloud
Git
Backend Services
APIs
Distributed Applications
Data Transformation
Prompt Engineering
Vector Search
Pgvector
Pinecone
Weaviate
Milivus
Observability
Technical Discovery
Proof-of-Concept
Agile
Software Development
Enterprise Applications
System Architecture

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