Honeywell

Honeywell's VECE COE is building an AI-Ready data platform to power advanced analytics and AI-driven decision-making. This Senior Data Engineer will architect and build end-to-end data pipelines using Azure Databricks, transforming raw data into analytics-ready assets for downstream AI/ML consumption. The role focuses on data ingestion, modeling, orchestration, and governance, emphasizing building and delivering pipelines rather than maintenance.

Senior Advanced Data Engineer responsible for designing, developing, and maintaining advanced data solutions, including building scalable data pipelines, optimizing data storage, and ensuring data quality for AI/ML consumption. The role focuses on building an AI-ready data platform using Databricks and Azure, implementing data modeling, orchestration, and governance, with a strong emphasis on enabling AI and proactive analytics.

Senior Python Engineer with 9+ years of experience in cloud-native, microservices, and backend systems. The role involves integrating Agentic AI capabilities into product development, building AI-powered workflows using LLM orchestration frameworks, and contributing to multi-agent pipelines. Requires expertise in Python, Django, Celery, cloud platforms (AWS/GCP/Azure), and database tuning. Experience with Agentic AI frameworks like LangChain/AutoGen and RAG pipelines is a plus.

Software Engineer with 3+ years of experience in .Net and Angular, responsible for designing, implementing, testing, and debugging complex software solutions. The role involves mentoring junior colleagues, managing end-to-end processes, and collaborating with cross-functional teams. Requires proficiency in C#, Angular, SQL, and experience with AI-assisted development tools and consuming AI/ML APIs.

The Test Engineer will own end-to-end testing of an industrial autonomous solution for oil & gas well operations. This involves validating software, hardware, controls, and analytics in real operational environments, ensuring safety, reliability, and performance. Responsibilities include defining test strategy, performing various types of testing, validating autonomous use cases, and ensuring product quality meets industrial standards.

Director of IT Software & Project at Honeywell Building Automation, responsible for IT strategy, digital solutions deployment, and leading a team. The role focuses on advancing business capabilities, driving efficiency, and enabling growth through software and AI-based solutions, with a strong emphasis on sales-to-revenue transformation and integration of CRM/ERP systems.

Lead the end-to-end architectural execution across a high-velocity, AI-forward technology organization, owning the full lifecycle from solution design through disciplined release delivery. Establish architectural standards and governance for software platforms and multi-cloud collaboration agent technologies, maintaining strategic relationships with cloud partners. This role also involves people leadership, including recruiting, developing, and retaining talent.

Software Engineer focused on quality and testing for cloud-based products, with specific experience in Agentic AI, AI testing, and model-based testing. The role involves developing automation frameworks and ensuring the quality of new features within a cloud platform offering.

Hardware Engineer II role at Honeywell focused on delivering data-driven insights for global markets, cost structures, and manufacturing ecosystems. The role involves designing, developing, and deploying advanced analytical, statistical, and machine learning models, analyzing market and economic trends, performing cost analysis, and leveraging manufacturing domain expertise. It requires strong project management, collaboration, and leadership skills, with a focus on driving process improvements and influencing the strategic direction of the Data Analytics team. Experience with SAP/ERP and PLM systems is also mentioned.

This role involves applying data analysis, machine learning, and statistical modeling to solve business problems, working with senior data scientists and cross-functional teams to develop data-driven solutions. The goal is to leverage data to optimize processes, reduce costs, and identify growth opportunities, positioning Honeywell at the forefront of data-driven innovation.

Senior sales engineer for Honeywell's Connected Industrial Solutions portfolio, focusing on process automation, AI/analytics, and digital transformation in industries like Oil & Gas and Petrochemicals. The role involves opportunity development, consulting engagements, building business cases, and collaborating with cross-functional teams to drive software growth and customer outcomes.

This role leads enterprise-wide legal technology transformation, focusing on implementing and optimizing digital tools and AI-enabled solutions to improve efficiency, risk management, and business partnership within the legal function. It involves strategy, process redesign, data strategy, and change management, with a strong emphasis on governance and responsible AI.

This role is for a Sr Operations & Enablement Communication Specialist at Honeywell. The primary focus is on managing the operational backbone and scalability of a Creative and Editorial COE. This includes managing the tech stack, building self-service tools, optimizing processes, and championing AI to enhance team efficiency and effectiveness. The role requires strong project management, systems thinking, and process optimization skills, with a focus on enabling communicators to work smarter and faster.

Internship role focused on supporting proposal and estimating teams in process automation, with a specific emphasis on identifying and implementing AI in daily engineering activities. The role involves assisting estimators, looking after technical details, and participating in internal negotiations.

This role focuses on advanced manufacturing engineering, optimizing processes, and implementing technologies like automation and robotics. While it mentions using AI/ML for specific tasks like quality control and logistics, the core of the role is in traditional manufacturing engineering, not AI model development.

Software Engineer II at Honeywell in Bengaluru, India, focusing on core Java and JavaScript development. The role emphasizes traditional software engineering practices with a 'good to have' exposure to AI-assisted development tools, AI-powered code analysis, LLM capabilities, and consuming AI/ML APIs, indicating an exploratory approach to AI integration within their product development lifecycle.

Solution Architect for a Smart City platform at Honeywell, focusing on integrating various systems, evaluating technologies (including IoT, data analytics, AI/ML), and designing scalable, secure architectures. Requires deep understanding of IoT, data analytics, big data, AI/ML principles, and smart city concepts, with 10+ years of experience.

Senior Software Engineer / Technical Architect for Honeywell's Forge for Utilities applications in Mexico. This role leads end-to-end technical architecture, solution design, system evolution, and production reliability for cloud-native SaaS solutions. Responsibilities include platform ownership, data and analytics enablement, engineering excellence, and leveraging AI tools in the software development lifecycle. Requires 10+ years of software engineering experience, strong Azure and Databricks expertise, and experience building cloud-native SaaS applications.

Lead R&D Engineer/Scientist focused on developing process performance data analytics and connected digital solutions for industrial applications, optimizing commercial operations and profitability. The role involves leading technology development programs, coordinating cross-functional teams, and identifying new approaches in data science and machine learning.

This role is a Technical Solutions Consultant at Honeywell, focusing on industrial sectors. The primary responsibilities involve consulting with customers, developing and presenting solutions leveraging Honeywell's industrial software portfolio, leading diagnostic workshops, and supporting business development. While the role requires knowledge of AI and advanced software solutions, its core function is customer-facing product consultation and solution selling, not direct AI/ML model development or deployment.

This role focuses on architecting and overseeing the AI model lifecycle from experimentation to production deployment, including monitoring performance, drift, and latency. It also involves driving security by design, DevSecOps practices, and cloud-native architectures for complex software systems.

Seeking a Smart City Technical Lead in Abu Dhabi to design and oversee the architecture of a comprehensive smart city platform, integrating various systems, managing data flows, and ensuring security and compliance. The role involves technology evaluation, stakeholder collaboration, and technical team management.

This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof-of-concept development. The role involves full-stack development, API design, microservices architecture, and CI/CD practices, while also exploring and integrating GenAI capabilities.

This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof of concept development. The role involves full-stack development, API design, cloud-native architecture, microservices, and CI/CD practices, while also exploring and integrating GenAI capabilities.

Director of Cybersecurity Software Engineering & AI responsible for leading the design, development, and delivery of innovative software solutions that modernize cybersecurity operations, eliminate inefficiencies, and amplify the capabilities of the cybersecurity organization through intelligent automation and AI-driven tooling. This individual will lead a small, high-performing engineering team in designing, building, and maintaining secure, scalable, and intelligent software solutions that directly advance the organization’s cybersecurity mission and operational efficiency objectives.

Software Engineer with full-stack .Net and Angular experience, focusing on designing, implementing, and testing scalable applications. The role involves database management, cross-functional collaboration, and staying updated with industry trends. A key aspect is the use and integration of AI-assisted development tools and AI/ML-powered APIs, indicating an exploratory engagement with AI technologies within a traditional software engineering context.

Software Engineer with full-stack .Net and Angular experience, seeking to leverage AI-assisted development tools and integrate AI/ML APIs into applications. Role focuses on traditional software development with an exploratory approach to AI integration.

The Senior Project Manager (AI Transformation) role is responsible for implementing and adopting AI tools across the organization, leading an upskilling initiative to build an AI culture, define key AI roles, and deliver role-based AI trainings. The role partners with leaders to translate the AI transformation roadmap into measurable business outcomes and scaled change adoption.

Senior Technical Writer at Honeywell, responsible for creating and maintaining technical documentation for Building Automation products. The role involves collaborating with agile teams, producing visual aids, and ensuring documentation standards are met. Requires 5+ years of experience in technical writing and a relevant degree or equivalent experience. Familiarity with AI tools for content development is a plus.

This role focuses on applying AI-driven operational optimization solutions for industrial customers (Chemical, Oil & Gas, etc.) using Honeywell's Experion DCS system. The engineer will act as a Subject Matter Expert, bridging process engineering and digital/analytical skills. Responsibilities include leading customer workshops to define problems, analyzing process data, validating AI model strategies and outcomes with Data Scientists, and assisting with deployment and testing of solutions. The role requires strong process engineering knowledge, experience with DCS systems, and the ability to translate between process operations and data science.

Lead SRE role focused on reliability, scalability, and performance of production systems, including AI-enabled services. Responsibilities include defining SRE standards, automation, cloud infrastructure management, operationalizing ML workloads, incident management, and mentorship. Requires expertise in cloud, observability, CI/CD, and familiarity with ML pipelines and MLOps tools.

This role is for an Advanced Software Engineer at Honeywell, focusing on R&D for industrial automation systems. The engineer will research, design, and develop software using advanced technologies, including AI, and contribute to innovations for customers worldwide. The role requires experience in process control, advanced process control, and domain expertise in industrial sectors. The engineer will also provide customer support and participate in technical strategic planning.

This role is responsible for shaping Honeywell's multi-year platform and AI strategy, guiding investment, and driving transformation to accelerate AI adoption and scale platforms across the enterprise. It requires deep AI/technology fluency, business acumen, and the ability to influence C-suite stakeholders.

Software Engineer role focused on integrating AI/GenAI capabilities into existing software products and engineering processes, including intelligent automation, anomaly detection, and using GenAI for code generation and debugging. The role involves full software lifecycle management, collaboration with data scientists, and MLOps principles for model integration.

Seeking an experienced AI Governance & Data Privacy General Counsel to provide strategic legal guidance on AI innovation, data privacy, and enterprise risk management, enabling responsible AI adoption and compliance across internal operations, products, and third-party solutions in a highly regulated environment. Responsibilities include leading AI governance strategy, developing policies, advising on data governance for AI/ML, supporting AI contracting, and managing global privacy and data protection for business units.

This role focuses on assessing and evaluating the security posture of Honeywell products and partner technologies, including those that use AI/ML. Responsibilities include security services delivery, using various security toolsets, identifying security defects, and consulting on remediation. The role involves penetration testing, mentoring junior team members, and championing product security initiatives. While AI/ML is mentioned as a domain for security testing, the core function is cybersecurity engineering and assessment, not building AI models.

Develops and implements advanced data analytics models and algorithms using machine learning, statistical modeling, and data analysis techniques to solve complex business problems and provide actionable insights. Manages end-to-end data science projects, mentors junior colleagues, and contributes to the strategic vision of the Data Science team. Focuses on optimizing processes, reducing costs, and identifying growth opportunities.

Seeking a Senior Software Engineer with full-stack .Net and Angular experience to develop software solutions. Responsibilities include overseeing team tasks, managing projects, mentoring junior colleagues, designing and implementing applications, database management, testing, debugging, and collaborating with cross-functional teams. The role requires experience with AI-assisted development tools, understanding of AI-powered code analysis, basic knowledge of LLM capabilities, and the ability to integrate AI/ML APIs.

Seeking a Senior Software Engineer with full-stack .Net and Angular experience to develop software solutions. Responsibilities include overseeing team tasks, managing projects, mentoring junior colleagues, designing and implementing applications, database management, testing, debugging, and collaborating with cross-functional teams. The role requires experience with AI-assisted development tools, understanding of AI-powered code analysis, basic knowledge of LLM capabilities, and the ability to integrate AI/ML APIs.

Software Engineer focused on quality and testing for cloud-based products, with specific experience in Agentic AI, AI testing, and test automation within an enterprise context.

Director of Software Engineering at Honeywell, focusing on leading innovation and idea incubation for industrial, buildings, and security domains. The role involves guiding teams in adopting emerging technologies like AI/ML and GenAI, ensuring solutions are scalable, secure, and production-ready, with a strong emphasis on domain-specific constraints and regulatory compliance. The primary output is the successful transition of incubated ideas into scaled product platforms or enterprise delivery models.

The Principal Software Architect will lead the design, development, and operationalization of buildings ontologies and taxonomies to power data interoperability, analytics, and intelligent systems. This role involves working with domain modeling, semantic technologies, and standards, and collaborating with domain experts, data engineers, platform architects, and product teams. Key responsibilities include designing and maintaining industrial ontologies, aligning with industry standards (Brick Schema, Project Haystack, ASHRAE 233P, IFC), defining concept hierarchies, and leveraging LLMs for ontology population and entity extraction. The role also involves mapping concepts across heterogeneous data sources, ensuring interoperability, and defining best practices for ontology governance. Strategic responsibilities include defining the technical vision for the enterprise semantic and knowledge graph platform and establishing architectural standards. The role requires deep, hands-on experience in ontology engineering, strong knowledge of specific standards, and expertise in semantic web technologies and graph databases.

Senior Advanced Software Architect at Honeywell focusing on cybersecurity architecture, threat strategy, and technical direction. The role involves leading the design and review of secure software architectures, researching emerging technologies like AI/ML, analyzing cybersecurity threats, and ensuring security best practices are integrated into systems. Requires strong software development experience in cybersecurity and a solid understanding of cloud and microservice architectures. Experience coding AI/ML pipelines is a plus.

This role is for a Principal HCM Analytics specialist at Honeywell, focusing on designing and implementing data warehousing solutions, creating visualizations, and ensuring data security within the Oracle HCM domain. The role involves leading analytics projects, driving the analytics team, and utilizing tools like Oracle HCM, Oracle Fusion Data Intelligence, OTBI, and BIP Reporting. A key responsibility is the implementation of predictive models and AI/ML algorithms, though the core focus remains on data warehousing and BI administration within the HR domain.

Director IT role at Honeywell Building Automation, focusing on IT strategy and digital solutions deployment. The role involves partnering with business leaders to define and execute digital transformation strategies, with a specific emphasis on leveraging AI for business growth and efficiency. Responsibilities include software strategy, people leadership, delivery excellence, sales-to-revenue transformation, and integration of systems like CRM and ERP. Requires expertise in AI, cloud transformation, IoT, and project management systems.

This role focuses on developing and implementing Generative AI/UX for AI/ML capabilities within Honeywell's User Experience (HUE) community. The Director will promote system thinking, storytelling, and usability testing, and collaborate with various Honeywell functions. Key responsibilities include establishing usability testing frameworks, identifying opportunities for data visualization techniques to improve interpretability through design, overseeing co-creation workshops, and promoting an end-to-end user experience strategy. The role requires significant experience in leading user research and/or experience design, with a Master's or advanced degree in a related field. Experience bringing an AI product to market is a plus.

The role involves working on a thesis (Bachelor's or Master's) in the field of Production Intelligence within the Advanced Manufacturing Engineering (AME) department. The focus is on developing modern software and automation solutions for future production, including digitalization, process optimization, MES integration, and scalable test/automation systems. The work will involve modern IIoT technologies, Industry 4.0 concepts, Industrial AI, and industrial communication standards. Specific thesis topics include developing a test stand for smart product parameterization, conceptualizing a new leak testing system, and developing a concept for automated palletization of gas meters. The role requires a background in Computer Science, Electrical Engineering, Mechatronics, Data Science, or Industrial Engineering, with an affinity for digitized production and automation programming. Knowledge of industrial communication protocols, SQL/NoSQL databases, MES systems, or edge/cloud platforms is beneficial. The position is a paid internship for 6-12 months.

Lead Software Architect for Honeywell's EPMS product development, focusing on cloud-enabled energy management platforms. The role requires deep expertise in power systems and hands-on software architecture across Java, .NET, React JS, microservices, and Azure. While the core focus is on energy management systems, there is an expectation of working knowledge with AI, specifically LLMs and Agentic AI, within the context of these platforms.