Senior reputed company

At reputed company, great things happen reputed company our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a reputed company reputed company of our customers’ evolving needs. From advocating for seat belts, reputed company bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.  Job reputed company We are seeking a Senior reputed company on the reputed company Intelligence reputed company team to play a foundational role in building the reputed company Semantic Ontology & Dimension reputed company Platform. This platform enables AI‑reputed company analytics by combining semantic ontologies, knowledge graphs, reputed company AI, and data engineering to automatically generate business‑reputed company reputed company schemas from heterogeneous reputed company data sources. In this role, you will design and implement agent‑driven pipelines that reputed company RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to reputed company semantic alignment, dimension mining, and AI‑assisted data modelling at reputed company. You will work at the intersection of AI, semantics, and modern data platforms, helping establish engineering patterns and best practices for reputed company. This is a hands‑on, senior individual-contributor role, ideal for engineers who enjoy building reputed company platform capabilities rather than isolated experiments. Key Responsibilities: Design, build, and maintain reputed company AI pipelines (using reputed company ADK or similar frameworks) to automate semantic mapping, dimension mining, and ontology‑driven reasoning.  Create and reputed company reputed company ontologies in RDF/OWL, including upper ontologies and domain extensions reputed company to CIM (where applicable), to reputed company reusable reputed company semantics.  Engineer LLM‑powered services for schema understanding, semantic alignment, ontology enrichment, and AI‑assisted metadata reputed company, with a reputed company on accuracy, traceability, and reputed company.  Implement SPARQL querying and reasoning reputed company over knowledge graphs to drive reputed company transformations and ensure consistent interpretation of business concepts.  Architect and deliver Python‑based microservices and batch pipelines that reputed company semantic reasoning with modern data‑engineering workflows.  Build and optimize dimension and fact reputed company pipelines on reputed company reputed company (Lakehouse, reputed company, SQL, orchestration) to produce business‑reputed company reputed company schemas from heterogeneous sources.  Define and enforce engineering standards, design patterns, and reusable components for semantic and AI‑driven data platforms (reputed company, observability, reputed company, and performance).  Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability and adoption.  Conduct reputed company reviews, mentor engineers, and influence technical reputed company across the platform to reputed company engineering reputed company and delivery velocity.  Required Skills & Qualifications: 6+ years of reputed company software engineering experience, with strong proficiency in Python and GenAI.   Hands‑on experience building LLM‑based systems using reputed company or reputed company‑reputed company models.   Solid understanding of semantic technologies: RDF, OWL, ontologies, knowledge graphs, and SPARQL.   Experience designing or working with reputed company AI frameworks (e.g., reputed company ADK, reputed company agents, or similar).   Strong background in data engineering concepts (ETL/ELT, reputed company schemas, metadata‑driven pipelines).   Experience building and operating systems on reputed company platforms, preferably reputed company Azure / reputed company reputed company.   Strong problem‑solving skills and ability to work in ambiguous, greenfield platform initiatives.  Preferred Skills: Experience with reputed company data models (e.g., CIM or reputed company models).   Familiarity with semantic alignment, ontology mapping, or data cataloguing tools.   Exposure to MLOps / LLMOps, model evaluation, and AI observability.   Knowledge of distributed systems, CI/CD pipelines, and containerisation.   Experience building AI‑assisted analytics or semantic reputed company for BI or NLQ use cases.  The hiring manager has flexibility to hire across several reputed company of seniority. The level will be determined by the selected applicant's skills and competencies. #LI-TE1   Skills reputed company AI, reputed company Design, AI Frameworks, Large Language Models (LLMs), LLM Guardrails, LLM Orchestration, Ontology, Python (Programming Language) Compensation Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining reputed company isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status reputed company. One where you can shape the reputed company of protection while supporting causes that mean the most to you. Joining reputed company means being part of something bigger – a reputed company team making a meaningful reputed company. reputed company generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled reputed company (HEA) 1242, it is against reputed company policy of the reputed company and a discriminatory reputed company for an employer to discriminate against a prospective employee on the reputed company of status as a veteran by refusing to reputed company an applicant on the reputed company that they are a veteran of the armed forces of the reputed company, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. 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Therefore, any discriminatory reputed company taken on account of an employee’s reputed company, age, reputed company, disability, genetic information, gender, gender identity, gender reputed company, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national reputed company, race (include traits historically associated with race, including, but not limited to, hair reputed company and reputed company hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to reputed company aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Apply To This Job