{"id":3091373,"url":"https://alion.io/job/tata-consultancy-services-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":222,"name":"Tata Consultancy Services","domain":"tcs.com","url":"https://alion.io/company/tata-consultancy-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Halifax, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":65},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Devin","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-22T14:51:38Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T17:35:57Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Role: Engineer. Skills: Artificial Intelligence. Experience: 8 - 10 Years\nInclusion without Exception\nTata 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.\nTCS 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.\nRooted 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.\nTCS 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.\nDesign 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.\nBuild 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.\nImplement 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.\nBuild 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.\nContinuously 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.\nPartner with DevOps, security, and platform teams to get new agents and skills safely into production and into the shared skill/tool catalog.\nEvaluate emerging agentic AI platforms, frameworks, and design patterns, and make build-vs-adopt recommendations for the platform roadmap.\nRegularly 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.\nAct as a hands-on technical resource and champion for teams adopting the AI-driven software delivery methodology, helping them get unblocked on the platform.\nMust-have:\nStrong software development background (Python and/or TypeScript/JavaScript) with the ability to build and operate production-grade services, not just prototypes.\nHands-on experience building agent-based solutions, for example with LangChain, LangGraph, or comparable agent frameworks, including within coding harnesses like Claude Code.\n< li>Practical experience with MCP (Model Context Protocol) servers and building custom skills/tools for coding harnesses such as Claude Code.\n\nDemonstrated personal fluency with frontier coding assistants (e.g., Claude Code) for real engineering work.\nThank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. 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