Honeywell

Project Manager

• Partner with the business stakeholders to develop a deep understanding of the business processes and priorities pertinent to the Project Planning and scoping activity.
• Collaborate closely with cross-functional teams to define and execute IT project strategies aligned with business objectives, ensuring they drive innovation and operational efficiency.
• Manage the planning, execution, and delivery of technology projects, ensuring they meet quality, budget, and timeline expectations.
• Drive global process standardization and harmonization across regions and business units to enable scalable, repeatable operations

Senior IT Project Management Specialist

• Oversee and direct operations within the Strategic Business Group (SBG) for world-class integrated supply chain projects.
• Create project schedules, assess project issues, and develop enhanced solutions that meet or exceed delivery, productivity, quality, and customer satisfaction goals.
• Implement mechanisms for monitoring project progress while collaborating with key stakeholders to resolve any challenges that arise.
• Lead cross-functional project teams, driving results and ensuring alignment with project objectives.
• Mentor team members to foster professional growth and improve project outcomes.
• Identify project issues and develop quality solutions that enhance productivity and customer satisfaction.
• Collaborate, communicate, and build robust relationships across various organizational levels to achieve project goals with a sense of urgency.

Senior ISC Project Management Manager

Systems Engineer

• Analyze business requirements and translate them into functional and technical specifications for system enhancements.
• Collaborate with cross-functional teams to identify opportunities for process improvements and implement effective technology solutions.
• Conduct system testing, validation, and documentation to ensure solutions meet business requirements.
• Evaluate complex systems and workflows to identify inefficiencies and recommend improvements.
• Support end-to-end solution delivery across enterprise platforms, data systems, and infrastructure.
• Communicate effectively with both technical and non-technical stakeholders.
• Apply innovative thinking to solve complex business and technical challenges.
• Ensure all solutions adhere to enterprise standards, architectures, and best practices.

Senior Business Systems Analyst

AI Engineer

• Responsible for developing and maintaining enterprise wide AI architecture across classic ML, GenAI, and agentic AI systems.
• Drive the strategic direction for agentic AI architecture, including multi agent frameworks, tool use orchestration, reasoning pipelines, memory systems, and governance models for autonomous and semi-autonomous AI capabilities.
• Collaborate closely with cross-functional partners—including Data Science, MLOps, Cloud Engineering, Security, and Business Units—to define and execute high level AI architecture strategies aligned with enterprise objectives.
• Shape the planning and implementation of AI platforms and solutions that ensure scalability, reliability, security, safety, and responsible AI compliance across all AI modalities.
• Establish architectural standards, reference architectures, and best practices for classic ML platforms, LLM/GenAI systems, and agentic AI ecosystems.
• Evaluate emerging AI technologies, frameworks, vector databases, orchestration layers, and agent frameworks to guide innovation and long term platform evolution.
• Provide architectural oversight for AI solution design, ensuring alignment with enterprise cloud architecture (AWS preferred), data strategy, and regulatory requirements.
• Partner with leadership to prioritize AI initiatives, influence technology roadmaps, and ensure seamless integration of AI systems into core business processes.

Senior AI Architect

Frontend Engineer

• Design and develop intuitive, performant, and scalable user interfaces for**AI-powered applications**, spanning classic ML insights, GenAI experiences, and emerging **agentic AI interfaces**.
• Build modern front-end applications using**React**, integrating with backend AI services, RAG pipelines, agent orchestration engines, and data APIs.
• Design and implement agentic interaction patterns, including multi-step agent workflows, tool invocation visualizations, conversational UI, human-in-the-loop controls, and AI traceability interfaces.
• Develop rich data visualizations and dashboards using**Tableau** to present model outputs, system telemetry, quality metrics, and user-facing insights.
• Translate complex AI concepts—model predictions, confidence scores, agent reasoning chains, retrieval context—into clean, understandable, and human-centered UI components.
• Collaborate closely with AI architects, data scientists, ML engineers, and software developers to ensure front-end interfaces are aligned with backend AI capabilities.
• Conduct user research, usability testing, and iterative design cycles to refine interface behavior, accessibility, and task success rates.
• Create reusable design components, UI style guides, and UX standards for AI-driven applications across multiple business domains.
• Ensure high standards of code quality, performance, security, accessibility, and responsiveness across devices.

Senior AI UX/UI Developer

Full-stack Engineer

• **KEY RESPONSIBILITIES**
• - Design and develop **AI application services and middleware** that connect classic ML models, GenAI/LLM systems, and agentic AI components to enterprise applications and workflows.
• - Build production‑grade **RAG (Retrieval-Augmented Generation) services**, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re-ranking, and content policy enforcement.
• - Develop **agent tool adapters** and integration layers enabling AI agents to safely perform actions (e.g., Snowflake queries, workflow triggers, system updates) using secure, controlled APIs.
• - Implement **policy, safety, and guardrail middleware** that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems.
• - Create event‑driven and asynchronous services using AWS-native capabilities for **agent orchestration**, callbacks, monitoring, and workflow routing.
• - Build microservices and SDKs that enable scalable, low‑latency interactions between AI models, vector databases, and enterprise systems.
• - Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices.
• - Implement robust testing frameworks for AI-driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks.
• - Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI-powered applications.

Senior AI Software Developer

Platform Engineer

• Design, build, and maintain the core AI platform infrastructure that supports classic machine learning, GenAI/LLM workloads, and emerging agentic AI systems.
• Implement and manage cloud‑native environments in AWS, including compute, networking, IAM, security controls, and serverless or containerized runtimes for AI workloads.
• Build scalable data and model infrastructure across Snowflake, Databricks (Delta Lake, Unity Catalog), and Dataiku, enabling unified governance, observability, lineage, and automation.
• Develop Infrastructure‑as‑Code (IaC) modules, environment templates, and reusable platform components to accelerate AI solution delivery.
• Deploy and operationalize vector databases, embedding pipelines, orchestration frameworks, and retrieval systems to support RAG and agentic AI architectures.
• Partner with Data Engineers, ML Engineers, MLOps, and Architects to deliver secure, reliable, high‑performance AI environments and production runtimes.
• Implement monitoring, alerting, logging, and cost‑optimization frameworks for all AI platform services, ensuring stability and operational excellence.
• Support environment provisioning, workspace configuration, cluster management, CI/CD integration, and platform‑level testing required for scalable AI deployment.
• Ensure compliance with enterprise security, data governance, identity standards, and responsible AI guidelines across all AI modalities.

Senior AI Platform Engineer

Data Engineer

• Software Architect and Master Data Management expert responsible for planning, designing, and implementing modules of the Honeywell Product Master Solution.
• Building the architectural design and implementation plan to onboard business critical data dimensions into the Honeywell Product Master Solution by determining the necessary data modelling, data integration, data transformation and publish layers connecting to enterprise repositories and end consumer applications within the Honeywell Ecosystem to ensure consistent and governed product data delivery.
• Drive the build and implementation efforts spanned across multiple releases across different Honeywell business groups based on their respective digital journey roadmaps aimed at building a enterprise data management solution catering to the enrichment and marketing needs of each business’ product data.
• Solutioning and designing the integration platform for marketing and ecommerce applications and driving the data driven design of their product catalog systems in aimed at optimizing the customer experience.
• Coordinate and groom business requirements with stakeholders across geographies and belonging to various Honeywell businesses in order to derive functional requirements and subsequent implementation plans from their data management and digitization needs

Lead Data Architect

Solutions Engineer

• Identifying customer challenges and driving outcome-based solutions with defined value propositions.
• Building a strong qualified pipeline for enterprise pursuits across customer centric outcomes.
• Support the organization in framing existing use-cases for business optimization.
• Prepare & lead customer presentation for a C- level audience as well as technical plant manager/ process engineering audience including value potential, prioritized value levers, solution components and integrations, support & value sustaining methods.
• Work closely with & support the broader Sales organization across Honeywell.
• Work with vertical consultants, product, engineering, and broader support organizations to successfully deliver proposals.
• Develop a value prop leveraging the entire Honeywell Connected Industrial portfolio and any non-technical requirements.
• Lead diagnostics at customer sites. Understand their current practices, potential value from digital technology & deployment constraints.
• Identify, collect, analyze customer historical data and develop hypotheses.
• Conduct customer workshop to frame a gap analysis.

Regional Solutions Consultant

Account Manager

• Increase overall performance of the organization by creating strong customer relationships and new customer partnerships within your organization
• Develop and maximize Honeywell presence and market share in designated accounts and territory
• Drive continuous improvement and lead changes in a premiere Sales Organization

Senior Account Manager

Field Engineer

• Uitvoeren van opstartwerkzaamheden, inbedrijfstelling en reparaties bij klanten.
• Uitvoeren van preventief onderhoud bij klanten (op basis van contracten of afspraken).
• De klant informeren over verouderde apparatuur en het stimuleren van vervanging van oude apparatuur die niet meer gerepareerd kan worden.
• Een klantvriendelijke manier van denken en handelen: de service engineer vertegenwoordigt Honeywell Enraf tijdens zijn/haar bezoeken.
• Het opstellen van correcte en eenduidige rapportages over alle uitgevoerde activiteiten en de door de klant gerapporteerde bevindingen.
• Het correct en eenduidig invullen van serviceformulieren.
• Het in optimale conditie houden van de persoonlijke voorraad reserveonderdelen.
• Deze reserveonderdelen evalueren op basis van behoefte en verbruik.
• Nauw samenwerken met het Sales-team om groeikansen te identificeren en te maximaliseren.
• Actief betrokken zijn bij zakelijke initiatieven en activiteiten.
• Controleren van de persoonlijke veiligheidsuitrusting.
• Wekelijkse indiening van servicerapporten, urenstaten en onkostendeclaraties.
• De leaseauto in goede staat houden volgens de Honeywell-normen en lokale wetgeving, en alle Honeywell-richtlijnen met betrekking tot de leaseauto opvolgen, inclusief kilometerrapportages.
• Optimaal gebruik en onderhoud van alle meetapparatuur en gereedschappen, en deze tijdig laten kalibreren volgens de procedures.

Field Service Engineer

Consultant

• Identify and acquire new enterprise customers
• Build and sustain long-term C-suite relationships
• Own the engagement end-to-end, from strategy and commercial shaping through closure
• Understand customer strategy and pain points; propose outcome-based value propositions
• Lead digital, AI, and autonomy advisory discussions
• Develop business cases, ROI models, and transformation roadmaps
• Shape enterprise commercials (outcome-based fees, enterprise licensing, bundled offerings)
• Strategize enterprise-scale engagements, including competitive positioning
• Align the right Honeywell stakeholders at the right time to move deals forward
• Work closely with Sales, Product, Consulting, and Delivery teams
• Provide customer insights to refine offerings and go-to-market strategy
• Establish disciplined governance across pursuits and active engagements
• Proactively identify opportunities that can scale into enterprise programs
• Build and lead engagement teams for priority opportunities
• Act as a thought leader through industry events, panels, and content creation

Enterprise Consultant

• Learn and support HF engineering activities across multiple programs.
• Assist in researching the operational environment for assigned HF tasks.
• Help draft HF-related documentation such as meeting notes, design summaries, or early requirement inputs.
• Contribute to cross‑functional teamwork with Systems Engineering, Flight Operations, Advanced Technology, and program teams.
• Participate in internal discussions focused on human-centered design, usability, and pilot experience.
• **Design & Analysis Activities**
• Support the development and review of flight deck Human–Machine Interface (HMI) concepts.
• Assist with basic HF analyses (e.g., task analysis, workflow reviews, simple usability reviews).
• Participate in HMI prototyping activities, simulation sessions, or concept evaluations.
• Help prepare HF materials such as sketches, interaction diagrams, or early design guidelines.
• Observe how HF findings are translated into design requirements for flight deck systems.
• **Evaluation & Test Activities**
• Support HF engineers in preparing for usability evaluations or pilot sessions.
• Assist in collecting and organizing data—e.g., notes, observation grids, feedback logs.
• Help set up mockups, benches, or simulator environments for HF evaluations.
• Participate in scenario‑based evaluations by helping run scripts or capturing user behavior.
• **Qualification & Certification Exposure (as applicable to intern role)**
• Gain introductory understanding of HF aspects of aviation certification (EASA/FAA).
• Assist in compiling basic certification-related HF artifacts under supervision.
• Observe how HF requirements translate into compliance demonstrations.

Intern, Human Factors Systems Engineering

Account Executive

• The Service Sales Manager is responsible for MSP Avionics and Control Systems enrollments and identifying new aftermarket sales opportunities, securing annual incremental revenue and new enrollments.
• All aspects of the Business Aviation Industry and MSP sales process such as sales lead conversion and whitespace enrollments.
• Development of sales strategies and execution to increase recovery adoption rates on key Honeywell content-based platforms coming out of OEM warranty, transferring ownership, or are self-insuring.
• Ensure and drive contract loyalty and increase retention.
• Using Quote tools, Building proposals and contracts, financial analysis.
• Customer presentations and negotiation of commercial terms.
• Achievement of sales targets, VOC feedback and participation in industry events.
• Cross-selling and driving leads directly and via channel strategy for Honeywell Aerospace Portfolio.
• Develop and refine existing MOS with internal and external stakeholders.
• Meet/exceed Annual Operating Plan (AOP) including linearity and Quarterly metrics.
• Lead operator outreach in assigned markets.
• Key sales program execution.
• Collaborate with Customer and Product Support and Aftermarket leadership.

Lead Sales Representative

Engineer

• Lead and manage advanced engineering projects to ensure successful execution and delivery.
• Define project scope, objectives and deliverables in collaboration with cross-functional teams.
• Develop and implement project plans, including timelines, budgets, and resource allocation.