{"id":1894911,"url":"https://alion.io/job/capgemini-senior-agentic-ai-tech-lead","title":"Senior Agentic AI Tech Lead","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":81,"open_postings":1769,"ghost_share":0,"stale_share":0.765,"repost_share":0.001,"time_to_fill_p50_days":27,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false}],"status":"live","first_seen_at":"2026-10-05T06:36:35Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T04:59:58Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nDefine AI Solution Approach: Design end-to-end AI systems covering data pipelines, model lifecycle, APIs, and integration layers\nLead Scalable System Design: Architect cloud-native AI solutions using microservices, containers, and distributed computing\n Enterprise Integration: Ensure seamless integration of AI solutions with existing enterprise systems (ERP, CRM, data platforms)\nMLOps & Deployment Strategy: Establish CI/CD frameworks, model versioning, monitoring, and automated deployment pipelines\nData Architecture Alignment: Collaborate with data teams on data ingestion, storage, and processing optimized for AI workloads\nTechnology Selection & Standards: Define and standardize tools, frameworks, and platforms for consistency and scalability\nPerformance & Reliability Engineering: Ensure solutions meet SLAs for latency, throughput, availability, and cost efficiency\nSecurity & Responsible AI: Embed security, privacy, governance, and ethical AI principles into architecture\nSolution Evangelization: Translate business requirements into technical architectures and present to leadership\nYour Profile\nExpert-level understanding of AI/ML/GenAI/Agentic AI technical solutions and frameworks\nAdvanced cloud working knowledge (AWS, Azure, GCP) and agent development\nDeep understanding of data engineering concepts\nKnowledge of MLOps, DevOps, and CI/CD best practices\nExcellent communication and stakeholder management abilities\nWhat you will love about working here\nWe recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance\nOur focus will be your career growth & professional development to support you in exploring the world of opportunities.\nEquip yourself with valuable certifications & training programs in the latest technologies such as GEN AI, Agentic AI.\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. 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