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Director AI

Honeywell · Posted Oct 1

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

Bengaluru, Karnataka, IndiaFull-timeOnsiteDirector/Executive10+ years₹60.0L–₹1.1Cr yearly100+ applicants
ConglomerateAutomationIndustrial TechnologyAerospaceBuilding TechnologiesPublic Company
Full time

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About the role

This role sits within HTCS at Honeywell as an AI-first technical leader responsible for defining and driving the HTCS AI strategy and converting it into deployed, scalable solutions and measurable business outcomes. The work spans generative AI, machine learning, intelligent automation, data and analytics, copilots and knowledge assistants, delivered in partnership with SBG leaders, Engineering, Digital/AI, IT, Cybersecurity, Legal, Data Privacy, and HR. Based in Bangalore, this Individual Contributor role owns the AI lifecycle end to end, from use-case intake and solution architecture through deployment, governance, adoption, and value tracking.

What you will do

  • Define and drive the HTCS AI strategy, technology roadmap, operating model, and prioritized portfolio of AI opportunities aligned to business and engineering needs.
  • Lead AI programs from opportunity identification and solution design through build, validation, deployment, adoption, scaling, and sustainment.
  • Provide strong technical direction across generative AI, machine learning, intelligent automation, data and analytics, copilots, knowledge assistants, and related enterprise AI capabilities.
  • Partner with business and technical stakeholders to translate complex problems into clear AI use cases, solution architectures, delivery plans, and measurable success criteria.
  • Hands-on lead the deployment of AI solutions within the organization, including pilots, production rollouts, integration with enterprise platforms, monitoring, support, and continuous improvement.
  • Establish repeatable standards, governance, and processes for AI use-case intake, feasibility assessment, data readiness, model or tool selection, validation, responsible AI review, deployment, and value realization.
  • Build and scale an AI operating rhythm covering portfolio governance, architecture and design reviews, delivery checkpoints, risk management, executive reporting, and benefits tracking.
  • Ensure AI solutions meet enterprise expectations for cybersecurity, data privacy, legal compliance, responsible AI, reliability, quality, and operational support.
  • Drive adoption and capability building through technical playbooks, communities of practice, learning pathways, demonstrations, office hours, and knowledge transfer to business and function owners.
  • Mobilize cross-functional teams, resolve technical and organizational blockers, facilitate decisions, and maintain alignment across multiple stakeholders, sites, and time zones.
  • Track and communicate outcomes using relevant measures such as adoption, active usage, productivity, quality, cycle time, cost, solution performance, and user satisfaction.
  • Individual Contributor role with no direct reports.
  • Leads through technical depth, influence, and matrixed collaboration; coordinates cross-functional teams and workstreams to deliver AI outcomes.

Skills used in this role

Generative AIMachine LearningIntelligent AutomationCopilotsKnowledge AssistantsData and AnalyticsCloud PlatformsAPIsData PipelinesDevOpsMLOpsSoftware ArchitectureEnterprise Application IntegrationResponsible AIAI GovernanceCybersecurityData PrivacyCommunicationStakeholder ManagementInfluencingExecutive Storytelling

What the employer is looking for

  • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, Information Systems, or a related technical discipline.
  • A master's degree in a relevant technical discipline or business administration is preferred.
  • AI/ML, data, cloud, architecture, or engineering certifications are advantageous. Program management certification is desirable but not a primary requirement.
  • Typically 10+ years of experience in technology, software engineering, data, digital transformation, or related fields, with substantial experience leading enterprise AI initiatives. Candidates with a strong software development background and proven AI delivery experience will be considered.
  • Strong AI knowledge and technical depth, with the ability to evaluate technologies, challenge solution designs, and guide technical delivery teams.
  • Demonstrated experience defining and driving AI strategy, roadmaps, operating models, and investment priorities.
  • Proven experience establishing, scaling, and operationalizing AI initiatives across an enterprise or large, complex organization.
  • Hands-on experience deploying AI solutions into organizational environments, moving beyond proof of concept to production adoption and sustained operations.
  • End-to-end delivery of AI programs, including use-case discovery, data readiness, architecture, build or configuration, testing, governance, rollout, monitoring, and value realization.
  • Experience with generative AI, machine learning, intelligent automation, copilots or assistants, data and analytics platforms, and enterprise integration patterns.
  • Experience applying responsible AI, data privacy, cybersecurity, legal, compliance, and model-risk controls in solution delivery.
  • Ability to communicate complex technical concepts to senior leaders and translate business priorities into executable technical plans.
  • Strong stakeholder management and experience leading cross-functional teams in a matrixed, global environment.
  • Enterprise mindset with strong ownership, sound judgment, and a focus on measurable outcomes.
  • Excellent communication, influencing, facilitation, and executive storytelling skills across functions, countries, and cultural boundaries.
  • Ability to navigate ambiguity, act with urgency, make informed trade-offs, and remove barriers to execution.
  • Demonstrates Honeywell behaviors, including Act with Urgency, Think Big and Make It Happen, and Be Courageous and Inspire Greatness.
  • Must be able to communicate effectively in English, including with senior technical and business stakeholders.

Preferred qualifications

  • Technical Manager, Technical Director, AI Engineering Leader, AI Transformation Leader, or equivalent profile with strong technical capability and demonstrated AI implementation experience.
  • Software development or engineering background, including experience with software architecture, cloud platforms, APIs, data pipelines, DevOps/MLOps, or enterprise application integration.
  • Experience building AI governance, reusable delivery frameworks, centers of excellence, communities of practice, or enterprise AI capability-building programs.
  • Ability to balance strategic thinking with hands-on execution and to operate effectively as a senior Individual Contributor.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Honeywell

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Honeywell

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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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