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Advanced Cyber Sec Archt/Engr

Honeywell · Posted Oct 8

Building automation, industrial automation, aerospace, and energy-efficient technology solutions

IndiaFull-timeHybridSenior Level5+ years₹25.0L–₹38.0L yearly100+ applicants
ConglomerateAutomationIndustrial TechnologyAerospaceBuilding TechnologiesPublic Company
Full time

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About the role

Honeywell is a software-industrial company that invents and commercializes technologies addressing challenges around energy, safety, security, air travel, productivity, and global urbanization. The Legal Transformation and Operations team delivers software products, workflow automations, AI-enabled solutions, and data integrations supporting Legal, Government Relations, HSEPS, and HGS. This role is a hands-on software engineering position building enterprise applications, APIs, AI agents and multi-agent solutions, cloud-based services, and automation while applying privacy, security, records, and responsible AI controls.

What you will do

  • Design, develop, test, deploy, and maintain enterprise applications, APIs, integrations, and automations that support transformation initiatives and business service delivery.
  • Build scalable solutions that connect enterprise platforms, business systems, data sources, AI services, and cloud services.
  • Translate business requirements and process pain points into maintainable technical designs, reusable components, and measurable outcomes.
  • Participate in code reviews and architecture discussions, applying modern engineering, testing, documentation, and source-control practices.
  • Partner with functional leaders, process owners, product teams, and end users to map processes, identify friction, and prioritize high-value transformation opportunities.
  • Develop standardized workflows and self-service capabilities that improve efficiency, consistency, compliance, and user experience.
  • Modernize business capabilities through custom software, workflow automation, data integration, self-service tools, knowledge solutions, and reporting.
  • Support adoption, change management, documentation, training, and continuous improvement for new and enhanced products and solutions.
  • Develop AI-powered applications, intelligent workflows, and agent-based solutions for approved enterprise use cases across the functions supported by the team.
  • Build AI agents and multi-agent solutions using Python, large language models, agent frameworks, retrieval-augmented generation, vector databases, tool and function calling, and the Model Context Protocol.
  • Create data integrations, reporting capabilities, and operational insights that support prioritization and decision-making.
  • Evaluate emerging technologies and conduct proofs of concept using clear business value, risk, quality, and scalability criteria.
  • Build solutions in alignment with enterprise architecture, privacy, cybersecurity, records retention, data governance, and responsible AI requirements.
  • Incorporate role-based access, auditability, data handling, testing, monitoring, and other appropriate controls throughout the solution lifecycle.
  • Partner with Legal, IT, Global Security, Privacy, Records, Compliance, and Risk stakeholders to support reviews, documentation, remediation, and approvals.
  • Promote sustainable product ownership, clear operating procedures, and appropriate governance for software, data, automation, and AI solutions.
  • Build cloud-based solutions using Azure and approved enterprise services, APIs, managed services, containerization, and serverless architectures where appropriate.
  • Contribute to CI/CD pipelines, automated testing, deployment, release management, observability, and support practices.
  • Implement Infrastructure-as-Code and automation to improve consistency, reliability, and repeatability.
  • Ensure solutions meet enterprise expectations for scalability, availability, performance, monitoring, and maintainability.
  • Work in cross-functional Agile teams and contribute to planning, backlog refinement, demonstrations, retrospectives, and delivery commitments.
  • Communicate technical concepts clearly to functional professionals, operations leaders, product owners, and technology partners.
  • Create and maintain solution documentation, runbooks, standards, and knowledge-sharing materials.
  • Demonstrate Honeywell behaviors, including Win Together, by building trusted partnerships across Legal, Government Relations, HSEPS, HGS, technology, and business teams.

Skills used in this role

.NETReactAngularJSPythonLangGraphLangChainCrewAISemantic KernelAutoGenGPTClaudeGeminiRAGMCPPGvectorSnowflakeAzure AI SearchPineconeWeaviateChromaAzure AI FoundryAzure OpenAIGitHub ActionsGitHubAzure

What the employer is looking for

  • 5+ years of professional software engineering or application development experience.
  • Strong proficiency .Net Full Stack & Reach JS or Angular JS.
  • Experience building and supporting enterprise applications, APIs, integrations, or workflow automation solutions.
  • Hands-on experience building AI agents using Python and frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or AutoGen.
  • Experience developing LLM-enabled solutions using models such as GPT, Claude, or Gemini, including prompt engineering, RAG, tool calling, function calling, multi-agent systems, and MCP.
  • Experience with vector databases or retrieval services such as PGvector, Snowflake, Azure AI Search, Pinecone, Weaviate, or Chroma; Azure AI Foundry or Azure OpenAI; API integration; evaluation and observability; and GitHub Actions for MLOps or LLMOps.
  • Knowledge of Responsible AI and security practices for enterprise AI solutions.
  • Experience with GitHub, source control management, automated testing, and CI/CD practices.
  • Experience translating business requirements into technical solutions and working with cross-functional stakeholders.
  • Experience working in Agile software development environments.
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related technical discipline.

Preferred qualifications

  • Experience taking AI-enabled products from proof of concept through production, including testing, evaluation, observability, deployment, and ongoing support.
  • Experience with Azure cloud services, Microsoft Power Platform, Power BI, or enterprise integration technologies.
  • Familiarity with GitHub Copilot or other AI-assisted development tools.
  • Experience with RESTful APIs, event-driven architectures, containerization, and Infrastructure-as-Code.
  • Understanding of privacy, data governance, records retention, responsible AI, security, access controls, and auditability.
  • Experience with process mapping, Lean or continuous improvement methods, product manag...

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Honeywell

Honeywell logo

Honeywell

Company website
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Honeywell is a multinational conglomerate corporation that invents and manufactures technologies addressing tough challenges linked to global macrotrends such as safety, security, and energy. It operates major business divisions focusing on building automation, industrial automation, and enterprise performance solutions. Through continuous innovation, the company helps drive smarter, safer, and more sustainable operations worldwide.

Industry
Conglomerate
Company size
101000+ employees
Founded
1906
Location
Charlotte, North Carolina, USA
Funding stage
Public Company

Leadership

VK
Vimal Kapur

Chairman and Chief Executive Officer

MS

Mike Stepniak

Senior Vice President and Chief Financial Officer

SV

Suresh Venkatarayalu

Senior Vice President and Chief Technology Officer

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