Honeywell

2 days ago

Principal AI Engr

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

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: 3.8

Website LinkedIn Glassdoor

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Honeywell

2 days ago

Principal AI Engr

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

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

Company Brief

Honeywell

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: 3.8

Website LinkedIn Glassdoor