Senior Data Architect – Agentic AI Solutions

HP
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Influencing","Cross-functional collaboration","Problem-solving","Continuous learning"]

Architect AI-ready enterprise data foundations that enable LLM-based, agentic workflows, including semantic and context layers. Lead end-to-end technical workstreams by setting direction and delivering clearly defined outcomes across cross-functional teams. Partner with frontier AI vendors to prototype, validate, and scale new architectural patterns, shaping data strategy across warehousing, modeling, and governance while building hands-on LLM solutions.

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FursaFursa
HP
HP
1 day ago

Senior Data Architect – Agentic AI Solutions

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Architect AI-ready enterprise data foundations that enable LLM-based, agentic workflows, including semantic and context layers. Lead end-to-end technical workstreams by setting direction and delivering clearly defined outcomes across cross-functional teams. Partner with frontier AI vendors to prototype, validate, and scale new architectural patterns, shaping data strategy across warehousing, modeling, and governance while building hands-on LLM solutions.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect AI-ready data foundations, including semantic and context layers for enterprise LLM and agentic workflows.
  • •Lead technical workstreams end-to-end by setting direction, aligning teams, and owning deliverables.
  • •Partner with AI vendors and internal stakeholders to prototype, validate, and scale architectural patterns.
  • •Shape enterprise data strategy and platform architecture across warehousing, modeling, and governance.
  • •Build hands-on LLM-based solutions and engage with business and executive stakeholders to translate architecture into business context.

Key Requirements

  • •10+ years designing and delivering enterprise data warehousing solutions with deep expertise in data modeling, data engineering, and enterprise data architecture.
  • •4-year or graduate degree in Computer Science, Information Systems, or related discipline, or equivalent work experience/demonstrated competence.
  • •Proven track record defining data strategy and platform architecture within a large, complex enterprise.
  • •Broad enterprise knowledge across multiple business domains and data subjects, connecting architecture to business outcomes.
  • •3+ years of hands-on modern AI architecture experience building production-grade solutions using LLMs (pilots/proof-of-concepts alone are insufficient).
Experience:10+ yearsEnterprise data warehousingData architectureAI architectureAgentic AILLMData engineering
Education:Bachelor's
Skills:CommunicationInfluencingCross-functional collaborationProblem-solvingContinuous learning
Tech Stack:LLMsDatabricksMicrosoft FabricAzureAWSData warehousingData modelingData engineeringData governanceSemantic layerContext layer

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn