Principal AI Engr

Honeywell
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 15-20 yearsSkills: ["Strategic vision","Technical leadership","Execution discipline","Stakeholder influence","Enterprise transformation"]

Define and execute an AI-first engineering strategy for Process / Industrial Automation, moving beyond isolated pilots to secure, scalable, governed AI solutions. Lead AI-enabled product development across the full engineering lifecycle (requirements through release, SRE/operations) and help embed copilots, conversational AI, predictive analytics, digital twins, and autonomous agents into products. Build reusable AI platforms (LLM gateways, RAG, vector/knowledge systems) and drive responsible AI, security, and enterprise adoption.

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FursaFursa
Honeywell
Honeywell
1 month ago

Principal AI Engr

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Define and execute an AI-first engineering strategy for Process / Industrial Automation, moving beyond isolated pilots to secure, scalable, governed AI solutions. Lead AI-enabled product development across the full engineering lifecycle (requirements through release, SRE/operations) and help embed copilots, conversational AI, predictive analytics, digital twins, and autonomous agents into products. Build reusable AI platforms (LLM gateways, RAG, vector/knowledge systems) and drive responsible AI, security, and enterprise adoption.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define the AI vision, maturity roadmap, operating model, investment priorities, and adoption plan for Process / Industrial Automation.
  • •Drive AI-enabled product development across requirements, architecture, design, coding, testing, DevSecOps, security, documentation, release management, SRE, and operations.
  • •Embed AI product capabilities such as copilots, conversational AI, predictive analytics, digital twins, autonomous agents, edge AI, knowledge assistants, and industrial AI into products.
  • •Establish reusable AI platforms and frameworks including LLM gateways, RAG platforms, vector databases, prompt libraries, model registries, agent frameworks, AI SDKs, evaluation frameworks, monitoring, and AI marketplaces.
  • •Set standards for responsible AI, privacy, security, data/prompt governance, explainability, hallucination control, AI audits/compliance/ethics, risk management, and cost governance; enable organizational adoption through internal programs and labs.

Key Requirements

  • •15–20+ years in software engineering, including 8–10+ years in AI/ML, data platforms, industrial automation, or related domains.
  • •3–5+ years with GenAI and LLMs, plus 2+ years working with agentic AI capabilities.
  • •Deep expertise across software and product engineering for Process / Industrial Automation products, including customer workflows and reliability expectations.
  • •Proven ability to lead enterprise-scale AI/GenAI/ML/automation or digital transformation initiatives from strategy through production adoption.
  • •Demonstrated influence across senior stakeholders and a track record of roadmap definition, reusable platform building, cross-functional execution, and measurable outcomes.
Experience:15-20 yearsIndustrial automationAI/MLData platforms
Skills:Strategic visionTechnical leadershipExecution disciplineStakeholder influenceEnterprise transformation
Tech Stack:LLM gatewaysRAGVector databasesPrompt librariesModel registriesAgent frameworksAI SDKsEvaluation frameworksAI marketplacesOpenAILLMsAgentic AIMulti-agent systemsMCPKnowledge graphsConversational AIAutonomous agentsEmbeddingsRetrieval pipelinesChroma

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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