{"id":4028768,"url":"https://alion.io/job/tata-consultancy-services-agentic-ai-engineer","title":"Agentic AI 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":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":112,"ghost_share":0.009,"stale_share":0,"repost_share":0.027,"time_to_fill_p50_days":8,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":130000,"currency":"AUD","period":"year","gross":null,"usd_annual":89035},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-10T17:46:02Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T17:46:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role: Engineer. Skills: Artificial Intelligence, Azure. Experience: 6 - 18 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\nMust-Have Qualifications\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.\nGood years of software engineering experience, including Good years designing and building enterprise AI/ML platforms.\nProven experience developing and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.\nDeep understanding of the Agentic AI ecosystem, including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.\nHands-on expertise building AI applications using frameworks and platforms such as Google ADK, Lang Graph, Lang Chain, Semantic Kernel, Crew AI, Auto Gen, or similar agentic frameworks.\nStrong experience designing scalable orchestration layers, tool libraries, context management frameworks,observability solutions, and governance controls for AI systems.\nExpertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge\nsystems, and document intelligence platforms.\nDeep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.\nExceptional communication and stakeholder management skills, with the ability to influence senior technology leaders.\nGood-to-Have Qualifications\nWorking knowledge of Glean or similar enterprise document intelligence and knowledge management platforms.\nExperience developing enterprise AI accelerators, reusable frameworks, and agentic platforms supporting large-scale business adoption.\nExperience with multi-cloud AI ecosystems, including Google Cloud, Azure AI, AWS AI, and OpenAI-based solutions.\nExposure to AI governance, model risk management, compliance, privacy, and enterprise security controls.\nKey Roles & Responsibilities\nEvolve the existing agent framework into a scalable, extensible, and enterprise-grade agentic platform aligned with future business needs.\nDefine and own end-to-end development covering orchestration, tool int egration, memory management, context management, document intelligence, observability, security, and governance.\nProvide technical leadership and hands-on engineering guidance across all components of the Agentic AI platform.\nDesign reusable services, frameworks, and platform capabilities to accelerate onboarding of new AI use cases and business domains.\nEstablish development standards, reference patterns, engineering best practices, and platform roadmaps.\nEvaluate emerging Agentic AI technologies, frameworks, and industry trends, recommending strategic\nenhancements to the platform.\nMentor engineering teams and serve as a thought leader for enterprise Agentic AI strategy and platform evolution\nSalary Range - CA$ 100,000 - CA$ 130,000 Per Year\nNote:\nTCS does not use artificial intelligence tools for candidate screening or evaluation.\nThis posting is for a current vacancy\nThe hiring process includes an initial screening by the TCS Hiring Team, followed by a technical evaluation and managerial discussion conducted by the Business Team, and concluding with the final HR evaluation.\nTata 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.\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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