Sr IT Architect

Honeywell
Bengaluru, Pune, Hyderabad
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 10+ yearsSkills: ["Architecture standards","Governance","Security-minded design","Cross-functional collaboration","Enterprise integration thinking"]

Lead enterprise AI architecture across Azure and Databricks, defining reference architectures for GenAI (RAG, fine-tuning, prompt engineering), agentic AI (multi-agent orchestration), and AI platform services like model serving and AI gateways. Own long-term AI platform roadmaps, design end-to-end solutions from data ingestion to deployment, and establish governance, security, and compliance frameworks. Drive LLMOps/MLOps and integration patterns with ERP/CRM/PLM/HCM systems.

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FursaFursa
Honeywell
Honeywell
1 day ago

Sr IT Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead enterprise AI architecture across Azure and Databricks, defining reference architectures for GenAI (RAG, fine-tuning, prompt engineering), agentic AI (multi-agent orchestration), and AI platform services like model serving and AI gateways. Own long-term AI platform roadmaps, design end-to-end solutions from data ingestion to deployment, and establish governance, security, and compliance frameworks. Drive LLMOps/MLOps and integration patterns with ERP/CRM/PLM/HCM systems.
Location: Bengaluru, Pune, Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Director level

Key Responsibilities

  • •Define and maintain enterprise-wide architecture standards for AI/ML, GenAI, and agentic AI platforms across Azure and Databricks.
  • •Own reference architectures for GenAI applications, agentic AI systems, and AI platform services like model serving, vector search, and AI gateways.
  • •Architect end-to-end AI solutions across data ingestion, feature pipelines, model training/evaluation/deployment, and RAG using vector databases.
  • •Lead Azure and Azure Databricks platform architecture for training/inference, fine-tuning/evaluation, vector search/embedding pipelines, and MLflow-based lifecycle management.
  • •Establish governance, security, compliance, and LLMOps/MLOps/AgentOps standards, including CI/CD, model versioning/evaluation/drift monitoring, and enterprise integrations (ERP/CRM/PLM/HCM).

Key Requirements

  • •10+ years of IT experience with 4+ years in enterprise or AI architecture roles.
  • •Strong hands-on experience with Microsoft Azure cloud architecture.
  • •Deep expertise in AI/ML platforms, especially Azure Databricks.
  • •Proven experience designing GenAI solutions including RAG, embeddings, and LLM fine-tuning.
  • •Strong understanding of agentic AI concepts and distributed systems/integration patterns.
Experience:10+ yearsEnterprise architectureAI/MLGenAIAgentic AICloud architecture
Skills:Architecture standardsGovernanceSecurity-minded designCross-functional collaborationEnterprise integration thinking
Languages:US
Tech Stack:AzureMicrosoft AzureAzure DatabricksGenAIAgentic AIRAGVector databasesAzure OpenAILLM fine-tuningMLflowCI/CDMLOpsLLMOpsAgentOpsAPIsEvent-driven architecturesMessaging platformsAI GatewayAPI managementSSO

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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