Title:  Artificial Intelligence & Analytics Engineer

Job Summary

We are looking for an Artificial intelligence & Analytic Engineer to strengthen the Equipment Data Engineering & AI organization.

A Technical Leader E2E role at the intersection of AI, analytics, software, networking, and industrial equipment

In this role, you will act as a system‑level technical leader, responsible for defining direction and delivering end‑to‑end industrial solutions that combine software, data, analytics, artificial intelligence, and equipment integration.

The position combines hands‑on development, system architecture responsibility, and technical leadership, working across teams and stakeholders.

The role requires comfort operating in complex environments, supporting multiple projects while ensuring scalable, maintainable, and robust solutions deployed on industrial equipment

What you will do

• Act and collaborate with system architect at solution level, defining and maintaining technical architecture across software, data, analytics, AI, networking, and equipment integration
• Lead the development of end‑to‑end solutions, from problem analysis and requirements clarification to validation and deployment of equipment
• Promote a defined technical direction to team peers, guiding when business needs, design decisions, priorities, and implementation approaches
• Design and develop software solutions enabling data collection, analytics, and AI‑supported use cases (e.g. quality, performance, diagnostics)
• Integrate analytics and AI capabilities into industrial systems considering operational, safety, and lifecycle constraints
• Apply and promote structured and automated development, testing, and release processes, ensuring reliable and repeatable delivery
• Drive and support system integration, commissioning, verification, and troubleshooting in industrial environments
• Act as a technical interface toward stakeholders, aligning with automation, electrical, quality, system engineering, IT/OT, platform, and business teams
• Identify risks, gaps, and improvement opportunities across the full solution lifecycle
• Ensure delivered solutions meet expectations in terms of performance, reliability, explainability, maintainability, and serviceability
• Foster a collaborative team environment, supporting knowledge sharing and continuous improvement

We believe you have

Experience & mindset

• Minimum 5 years of experience in automation, software, vision, AI development or similar roles equipment‑related contexts
• Proven experience in systems design and end‑to‑end solution architecture
• Strong ownership mindset, beyond individual components
• Strong troubleshooting and problem‑solving attitude, able to investigate issues across software, data, systems, and integration
• Ability to work dynamically across projects and organizational interfaces, handling ambiguity and changing priorities
• Strong stakeholder management and communication skills
• Team‑oriented attitude, able to lead by example

Technical competencies

Software development

• Solid background in software development
• Experience with one or more programming languages such as:
  C#, C++, Python, or similar
  (ability to learn and adapt is more important than expertise in a single language)

Artificial Intelligence & Analytics

• Practical experience with data analytics and AI‑enabled solutions, including at least one of:
• Data processing and data pipelines
• Analytics applied to equipment or process data
• Integration of AI/ML models into operational software systems

IoT, Messaging & Integration

• Experience with IoT technologies, preferably Microsoft IoT stack
• Experience with message broker / event bus technologies

Containers & orchestration

• Experience with Docker
• Experience with Kubernetes‑based orchestration, such as AKS, RKE, or K3s

Development & delivery practices

• Experience working with structured and automated build, test, and release processes, ensuring reliable and repeatable software delivery
• Familiarity with collaborative version‑control workflows

Networking

• Practical understanding of industrial and system networking, including:
• TCP/IP basics, subnets, routing concepts
• Ethernet‑based industrial networks
• Communication patterns between edge devices, IPCs, PLCs, and cloud/IT systems
• Ability to diagnose and troubleshoot network‑related issues impacting data flow and system integration
• Ability to collaborate effectively with IT/OT and automation teams

Vision domain

• Experience with industrial vision systems, including:
• Image acquisition from industrial cameras & protocols
• Vision pipelines (acquisition, preprocessing, analysis, result delivery)
• Vision applied to quality inspection, detection, or measurement
• Familiarity with vision constraints in industrial environments (lighting, timing, throughput)

Additional qualifications (considered a plus)

Electrical knowledge

• Practical electrical knowledge, such as:
• Reading and understanding electrical schematics and wiring diagrams
• Basic understanding of industrial electrical principles (power supply, signals, I/O, grounding)
• Ability to collaborate with electrical and automation engineers during integration and troubleshooting

AI platforms & orchestration

• Experience with AI frameworks and integration patterns
• Exposure to MCP (Model Context Protocol) or similar approaches for connecting AI models with tools, data, and services
• Experience with LLM‑based or generative AI solutions in engineering or industrial contexts

Storage technologies

• Relational databases: PostgreSQL, MSSQL, SQLite, MySQL
• Non‑relational databases: MongoDB

Front‑end

• ReactJS

Cloud

• Microsoft Azure

Control & automation environment

• Experience with Rockwell, Beckhoff, Siemens
• Experience with HMI/SCADA systems
• Experience with I/O servers and
• Knowledge of field bus technologies

Additional points

As a person you are flexible & proactive in adapting to business requests. You have a big picture problem solving mindset. Your collaboration skills are excellent since you the position requires great teamwork with the rest of the architect team and other parts of the organization. You have a listening approach with the team together with technical leadership.