{"id":3211820,"url":"https://alion.io/job/accenture-knowledge-engineer-3","title":"Knowledge Engineer","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":2061,"ghost_share":0.001,"stale_share":0.125,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":23000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1625},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T21:49:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Project Role : Knowledge EngineerProject Role Description : Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture and translate expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, ensuring accuracy and context for automation and insights. Apply advanced analytics on knowledge graphs to drive problem-solving and actionable insights.\nMust have skills : Microsoft Azure Data Services\nGood to have skills : Machine Learning (ML)\nMinimum 12 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Knowledge Engineer, your day involves designing and organizing complex knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. You will focus on capturing expert insights and transforming unstructured information into structured ontologies, knowledge graphs, and semantic models. Your work ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, you will apply advanced analytical techniques to these knowledge structures to facilitate problem-solving and deliver actionable outcomes that benefit multiple teams and projects.\nRoles & Responsibilities:\n- Expected to be an SME, collaborate and manage the team to perform.\n- Responsible for team decisions.\n- Engage with multiple teams and contribute on key decisions.\n- Expected to provide solutions to problems that apply across multiple teams.\n- Lead the development and refinement of knowledge representation models to enhance AI reasoning capabilities.\n- Facilitate communication and knowledge sharing between cross-functional teams to align project goals and deliverables.\n- Mentor junior team members by providing guidance and support to foster their professional growth.\n- Continuously evaluate emerging technologies and methodologies to improve knowledge engineering practices and outcomes.\nProfessional & Technical Skills:\n- Must To Have Skills: Proficiency in Microsoft Azure Data Services.\n- Good To Have Skills: Experience with Machine Learning (ML).\n- Strong expertise in designing and implementing ontologies and semantic models.\n- Experience in building and managing knowledge graphs for complex data relationships.\n- Ability to apply advanced analytics techniques to extract insights from structured knowledge bases.\n- Familiarity with data integration and transformation processes within cloud environments.\nAdditional Information:\n- The candidate should have minimum 12 years of experience in Microsoft Azure Data Services.\n- This position is based at our Pune office.\n- A 15 years full time education is required.\n15 years full time educationAbout 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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