Honeywell

Senior Advanced AI Engineer at Honeywell responsible for designing, developing, and deploying end-to-end cloud and AI/ML solutions for autonomous capabilities. This role involves hands-on technical leadership across the full ML lifecycle, from data pipelines to model optimization and drift detection, with a focus on MLOps and integrating AI into existing products. The engineer will also mentor junior team members.

Full Stack AI Platform Engineer responsible for designing, building, and scaling enterprise AI/ML platforms, focusing on IoT data pipelines, LLM orchestration, RAG services, and deploying models to edge devices. The role involves developing Python APIs for inference, managing ML platform services, building CI/CD for edge deployments, implementing ML orchestration workflows, and integrating AI workloads.

AI Technical Program Manager for GBS Finance at Honeywell, leading the development and scaling of autonomous and agentic AI systems for business workflows. The role requires a hybrid mindset of senior program leadership and technical depth, focusing on governance, metrics, architecture, and continuous improvement within a regulated finance environment.

Lead AI Engineer at Honeywell responsible for developing and implementing AI solutions, leading a team of AI engineers, and providing technical leadership. Requires strong expertise in machine learning and deep learning.

Senior Software Engineer focused on building and deploying scalable backend services and APIs, with a strong emphasis on MLOps pipelines, observability, and CI/CD within an industrial and safety-critical aerospace context.

Lead Software Architect role at Honeywell focusing on designing and developing scalable software architectures for process and DCS solutions, incorporating AI/ML and Azure. The role involves researching emerging technologies, architecting microservices, and ensuring system integration and scalability within the industrial domain.

This role focuses on assessing the security of GenAI/LLM-enabled systems, including RAG and agentic workflows. Responsibilities include identifying vulnerabilities like prompt injection, data exfiltration, and tool abuse, evaluating guardrails, and reporting findings to engineering teams for remediation. The role requires hands-on penetration testing experience across various domains, with a specific emphasis on GenAI security.

This role involves developing and delivering static/rotating asset fault models and predictive maintenance solutions for industrial customers, primarily in the Oil & Gas and Petrochemical sectors. The engineer will act as a Configuration/Monitoring engineer, design FMEA blueprints, and develop models using Machine Learning, Prediction, Fault Tree Analysis, and Root-Cause Failure Analysis to identify and prevent asset failures. The role also includes evaluating the benefits of these solutions and defining methodologies to measure customer KPIs.

Honeywell is seeking an Advanced Data Scientist to own end-to-end data science and machine learning solutions, from problem formulation to production deployment. This role requires expertise in machine learning, data engineering, MLOps, cloud platforms, and technical leadership, working with stakeholders to design scalable data and ML systems. Responsibilities include building NLP and GenAI applications, implementing RAG pipelines, prompt engineering, and evaluating LLM systems, alongside developing classical ML and deep learning models. The role also involves MLOps for the full ML lifecycle, deployment using APIs, and monitoring production models on cloud platforms (AWS/Azure/GCP).

Senior Advanced Data Engineer with 9+ years of experience to architect, build, and scale cloud-native data and AI platforms on Azure using Databricks. This role requires deep expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to enable advanced analytics, machine learning, and business intelligence use cases. The candidate will lead enterprise-scale data initiatives, collaborate with data scientists and ML engineers, and contribute to the data and AI strategy.

Senior Data Engineer to design, build, and scale cloud-native data and AI platforms on Azure using Databricks, focusing on data engineering, lakehouse architecture, and AI/ML data pipelines to support advanced analytics and ML use cases. The role involves leading data initiatives, collaborating with data scientists and ML engineers, and contributing to the data and AI strategy.

Seeking an ML Engineer to design, implement, and operate scalable ML platforms on Databricks, focusing on reliable model development, deployment, monitoring, and lifecycle management for large-scale AI workloads. Responsibilities include end-to-end ML lifecycle management, automation frameworks, governed experiment tracking, model serving, monitoring, feature management, and optimization.

Data Scientist II role focused on leveraging Generative AI, OCR, and Computer Vision to build and deploy models and end-to-end pipelines, with an emphasis on cloud platforms and MLOps within the life sciences domain.

Develops and implements AI algorithms, models, and systems for industrial applications, collaborating with cross-functional teams to integrate solutions and drive technical excellence. Requires a technical bachelor's degree and 2+ years of AI project experience with Python, TensorFlow, and PyTorch.

Advanced Software Engineer at Honeywell in Bengaluru, India, focusing on Data Engineering and ML Operations for production-grade AI solutions. The role involves leading the development of AI systems using various learning techniques, optimizing model performance, and integrating third-party AI services. Requires strong Python, ML libraries, MLOps tools, cloud platforms, and big data experience, with exposure to LLMs, vector databases, and edge AI.

Manager for an industrial AI/ML engineering team, focusing on building and deploying intelligent solutions for predictive maintenance, process optimization, and smart automation. Requires strong leadership, AI/ML strategy, production deployment experience, and industrial systems integration.

Advanced AI Engineer at Honeywell, leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. This role requires expert-level technical leadership, end-to-end project lifecycle management, and collaboration with cross-functional teams and business leaders to ensure AI initiatives align with business objectives. The position emphasizes driving technical excellence and fostering a culture of innovation.

Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems, acting as a subject matter expert, and driving technical excellence in critical AI initiatives within the industrial domain. The role involves end-to-end AI development lifecycle management and collaboration with cross-functional teams and product managers.

Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems for industrial applications. Requires 3+ years of experience managing AI technology projects and mastery in machine learning.

Senior Advanced AI Engineer at Honeywell, focused on leading the design and development of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, subject matter expertise, and collaboration with cross-functional teams to integrate AI solutions and drive technical excellence.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. The role involves managing end-to-end data science projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team within the industrial domain.

Senior Advanced AI Engineer at Honeywell, focusing on leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, project management, and mentorship within the AI development lifecycle, aiming to address business needs and drive technical excellence.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. The role involves managing end-to-end data science projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team within the industrial domain.

Advanced Data Scientist role at Honeywell focusing on leading the development and implementation of advanced analytics models and algorithms, translating business needs into data science solutions, and managing end-to-end data science projects within the industrial domain. The role involves mentoring junior data scientists and driving innovation.

Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on machine learning, statistical modeling, and data analysis. The role involves leading complex projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team, translating business needs into data science solutions.

This role is for a Sr. Software Engineering Manager at Honeywell, focusing on leading engineering teams to build and scale reliable, secure, and resilient cloud-native systems on Azure, GCP, and AWS. The manager will be responsible for driving engineering strategy, integrating AI/ML practices into engineering processes and product capabilities, operationalizing ML models, building MLOps pipelines, and leading the delivery of AI-enabled features. The role also involves people leadership, advancing platform engineering, strengthening quality engineering with AI-driven insights, and managing budgets for AI-driven initiatives. Experience with SRE, Data and AI platforms, and integrating ML models into production systems is required.

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.

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.

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.

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.

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 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.

Project Management Specialist role at Honeywell focused on New Product Introduction (NPI) for industrial automation and process automation engineering teams. Responsibilities include defining project scope, managing schedules, leading cross-functional teams, managing budgets and risks, and reporting on operational metrics and KPIs. Requires experience in NPI engineering project management, understanding of business processes, and familiarity with project management tools and methodologies like Agile/Scrum.

Senior DBA responsible for Oracle database development, architecture, and operations, focusing on establishing a solid foundation for innovation, performance, reliability, and scalability across on-prem and public cloud solutions. The role involves managing Oracle environments, driving stability initiatives, mentoring junior DBAs, and ensuring compliance with regulatory requirements.

This role focuses on data migration and integration for ERP deployments, primarily using Informatica and SAP. While it mentions AI/ML capabilities as a plus, the core responsibilities are traditional data engineering and ETL.

Product Marketing Specialist for Honeywell Process Automation's autonomous and AI products. Responsibilities include developing product positioning strategy, market research, creating marketing materials for sales enablement, and driving product awareness. The role involves translating technical capabilities into customer value and collaborating with Product Managers, sales, and customer support teams.