AI Platform Engineer

Tata Consultancy Services; Halifax; On-site; CAD 90,000 - 150,000; Full time

Job summary

Tata Consultancy Services in Canada is seeking an experienced engineer to design and implement agent-based software delivery systems, leveraging LangChain, LangGraph, and Claude Code.

You will build and integrate agents across the delivery lifecycle, collaborate with DevOps and security, and help scale AI-driven workflows across teams.

Candidates should demonstrate practical fluency with frontier coding assistants and MCP protocols.

Qualifications

• Hands-on experience building agent-based solutions using LangChain/LangGraph or similar.
• Experience with MCP (Model Context Protocol) servers and creating custom skills/tools.
• Proven fluency with frontier coding assistants (e.g., Claude Code).

Responsibilities

• Design and build agents across the full software delivery lifecycle, from spec to post-deployment tasks.
• Develop agents on MCP servers, Devin platform, and native LangChain/LangGraph frameworks.
• Implement and extend spec-driven development workflows as backbone of the platform.
• Build the plumbing for AI-driven delivery gates such as specification and PR readiness.
• Explore frontier models and coding assistants to automate work for productivity.
• Partner with DevOps, security, and platform teams to push skills into production.
• Demonstrate built solutions to development teams to drive platform adoption.
• Serve as hands-on technical resource champion for AI-driven software delivery.

Skills

LangChain

LangGraph

Claude Code

Agent frameworks

Tools

Claude Code

MCP servers

Coding harnesses

DevOps practices

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 has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

• Design and build agents across the full software delivery lifecycle: specification creation, technical spec generation, build-and-test agents, and operational agents that automate deployment, release, PIV (post-implementation verification), and post-deployment tasks.
• Build these agents on coding harnesses via custom skills and tools, including MCP servers; on managed agent platforms such as Devin; and as native agents using frameworks like LangChain and LangGraph, choosing the right substrate for each use case.
• Implement and extend spec-driven development workflows (e.g., specify → clarify → plan → tasks → analyze → implement, in the style of GitHub spec-kit / SpecKit) as the backbone of the platform's golden path.
• Build the technical plumbing that enforces AI-driven software delivery gates (e.g., specification readiness and pull-request readiness) as machine-checked controls rather than advisory guidance.
• Continuously push what frontier models and coding harnesses like Claude Code can automate, both for personal productivity and as reusable capability that scales across development teams.
• Partner with DevOps, security, and platform teams to get new agents and skills safely into production and into the shared skill/tool catalog.
• Evaluate emerging agentic AI platforms, frameworks, and design patterns, and make build-vs-adopt recommendations for the platform roadmap.
• Regularly demonstrate what you've built to other development teams, explaining not just what an agent does but how it works, to build trust and drive platform adoption.
• Act as a hands-on technical resource and champion for teams adopting the AI-driven software delivery methodology, helping them get unblocked on the platform.

Must-have:

• Hands-on experience building agent-based solutions, for example with LangChain, LangGraph, or comparable agent frameworks, including within coding harnesses like Claude Code.
• Practical experience with MCP (Model Context Protocol) servers and building custom skills/tools for coding harnesses such as Claude Code.
• Demonstrated personal fluency with frontier coding assistants (e.g., Claude Code) for real engineering work.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period.