{"id":1808505,"url":"https://alion.io/job/capgemini-ai-architect-4","title":"AI Architect","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":80,"open_postings":1799,"ghost_share":0.001,"stale_share":0.794,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","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":27000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-07-21T04:33:04Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-26T10:33:24Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":97},"description":"Job Description\nAI Solution Architect\nExperience: 10-18 Years\nChoosing Capgemini means joining a global leader in business and technology transformation, where innovation, collaboration, and cutting-edge technologies come together to create meaningful impact. Join us to help leading manufacturing and industrial organizations accelerate their Industry 4.0 and AI transformation journeys.\nRole Overview\nWe are seeking an experienced Industrial AI Solution Architect to lead the design and delivery of AI-driven solutions for manufacturing and industrial clients. This role combines industry expertise, AI innovation, solution architecture, consulting, and business transformation to drive measurable operational outcomes.\nKey Responsibilities\nAbility to lead AI solution architecture, client engagements, and AI transformation initiatives.\nStrong expertise in Generative AI, LLMs (GPT, Claude, Gemini, Llama), and Prompt Engineering\nHands-on experience building Agentic AI and Multi-Agent Systems using CrewAI, AutoGen, LangGraph, or Semantic Kernel.\nProficiency in Python, FastAPI, REST APIs, and Microservices architecture. •\nStrong knowledge of RAG, Vector Databases, Embeddings, and Enterprise Knowledge Systems.\nExperience with Azure OpenAI, Azure AI Services, AWS Bedrock, and cloud-based AI platforms\nUnderstanding of AI governance, observability, security, and responsible AI practices.\nRequired Qualifications\nEducation\nBachelor's or Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, or a related field.\nExperience\n7+ years of experience in Manufacturing, Industrial Operations, Digital Manufacturing, Industry 4.0, or Industrial Digital Transformation.\n3+ years of experience designing and deploying AI, Machine Learning, Advanced Analytics, or Generative AI solutions.\nAI solutions successfully deployed into production.\nMeasurable client outcomes such as productivity improvement, cost reduction, quality enhancement, and operational efficiency gains.\nGrowth of AI-driven business pipeline and revenue.\nDevelopment of reusable assets and industrial AI accelerators.\nIncreased adoption of AI across manufacturing and industrial operations.\nClient satisfaction and executive stakeholder trust.\nIdeal Profile\nA visionary technology leader who understands both the factory floor and the AI frontier-capable of transforming industrial operations through scalable, responsible, and outcome-driven AI solutions.\nAbout Us\nAt Capgemini Engineering, we bring together industry experts, engineers, architects, and technologists to help organizations harness innovation and achieve sustainable business outcomes. 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