{"id":3228507,"url":"https://alion.io/job/accenture-data-architect-16","title":"Data Architect","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2094,"ghost_share":0.001,"stale_share":0.146,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":69000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":true},{"name":"Azure","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T01:25:47Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Project Role : Data ArchitectProject Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.\nMust have skills : Microsoft Agentic AI Architecture\nGood to have skills : Microsoft Azure Machine Learning, Azure OpenAI Service\nMinimum 12 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Microsoft Agentic Architect, you will be responsible for designing, architecting, and deploying advanced Agentic AI solutions leveraging Microsoft s ecosystem. Your role will focus on building scalable multi-agent systems and AI-powered applications using Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. You will ensure that all solutions are developed responsibly, aligning with ethical AI practices, governance policies, and organizational objectives. This position requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to drive innovation in agentic AI.\nRoles & Responsibilities:\nAct as an SME in Microsoft Agentic AI solutions, with strong hands-on expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services (LLMs & SLMs).\nLead the design and architecture of multi-agent systems and integrate them seamlessly into enterprise ecosystems.\nCollaborate with engineering and product teams to deliver cutting-edge GenAI/Agentic solutions with measurable business impact.\nDefine and implement Responsible AI practices across solution lifecycles, ensuring compliance with ethical standards and regulatory requirements.\nMentor and guide teams on best practices in agentic AI system design, orchestration, and deployment.\nDrive key architectural and technical decisions across multiple projects and teams.\nFacilitate knowledge-sharing sessions and training on Microsoft s Agentic AI stack.\nContinuously evaluate solution performance and recommend optimizations for scalability, accuracy, and compliance.\nProfessional & Technical Skills:\nMust-Have Skills:\no Deep expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.\no Strong knowledge of Large Language Models (LLMs) and Small Language Models (SLMs) - fine-tuning, deployment, and integration into enterprise systems.\no Proven experience in designing and implementing agentic AI architectures.\no Hand on experience in Python, Visual Studio Code\nAdditional Skills:\no Strong understanding of Responsible AI frameworks and governance policies.\no Ability to work with cross-functional teams to deliver scalable AI solutions.\no Knowledge of compliance and regulatory requirements in AI.\no Strong problem-solving and decision-making abilities.\nAdditional Information:\nMinimum 8 years of experience in Microsoft AI and 2 years of experience Agentic AI Architecture, 10+ years in Azure PAAS. 13+ years of total experience in IT.\n15 years of full-time education is required.15 years full time education\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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