Senior AI Engineer – Agentic Systems | Grade 12

Opis

W firmie ABB pomagamy przedsiębiorstwom działać sprawniej i czyściej – i każdy człowiek w naszej firmie się do tego przyczynia. Będziesz mieć możliwość przewodzenia, otrzymasz wsparcie w rozwoju i poczujesz dumę z wpływu, jaki wspólnie wywieramy. Dołącz do nas i pomóż zarządzać tym, co napędza świat.Stanowisko to podlega:R&D Team Manager__Help shape the next generation of digital services at ABB Electrification Service Division. We are look-ing for a Senior AI Engineer – Agentic Systems to unlock agentic AI capabilities across our digital port-folio and turn them into real customer value. In this role, you will help build intelligent systems that support customers in achieving their most important asset management goals: higher reliability, bet-ter predictability, greater availability, improved sustainability, and smarter lifecycle decisions. You will work at the intersection of AI, backend engineering, and enterprise integration to transform architec-tural designs into secure, scalable, production-ready solutions.ABB’s digital and service portfolio is increasingly focused on customer experience, comprehensive as-set management, digital enablement, and sustainability outcomes. This role is a key enabler for trans-lating that portfolio direction into intelligent products and workflows that help customers reduce downtime, improve maintenance decisions, optimize operations, and extend asset life.As a Senior AI Engineer – Agentic Systems, you will build, integrate, and operate production-grade AI agents and agentic workflows across ABB ELSE digital services. You will own the engineering required to move beyond pilots into secure, reliable, enterprise-ready solutions. This includes agent orchestra-tion, enterprise tool integration, evaluation, monitoring, control mechanisms, and operational excel-lence. The role also has an important team uplift dimension: you will mentor colleagues and help raise the internal bar in agentic AI engineering. The work model for the role is: hybrid #LI-hybridYou will be mainly accountable for: Develop AI agents and multi-step workflows that support ELSE digital service and asset management use cases.Turn solution designs into scalable, production-ready implementations across the ELSE landscape.Connect agent workflows with enterprise platforms, operational data, APIs, and digital tools used in ELSE services.Define effective patterns for tool use, context management, memory, orchestration, and workflow execution.Create evaluation and validation approaches to ensure agent quality, safety, accuracy, and performance in real use cases.Implement human approval flows, fallback mechanisms, and operational guardrails.Ensure production readiness through testing, monitoring, deployment automation, and controlled releases.Work closely with architects, product owners, data engineers, and software teams to deliver reliable, business-ready ELSE solutions. Qualifications for the role:Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical field.7+ years of experience in software engineering, including designing and delivering enterprise-grade backend and cloud-based solutions.2-3+ years of hands-on experience building AI-powered applications, LLM-integrated systems, or agent-based workflows in production environments.Strong backend engineering skills, ideally in C#/.NET, with Python as a strong plus.Strong experience with APIs, Git, CI/CD, cloud deployment, and secure enterprise integration.Experience with agent evaluation, testing, verification, RAG, memory patterns, context man-agement, and agent control mechanisms.Experience monitoring and optimizing AI systems for reliability, performance, and cost.Understanding Microsoft enterprise security, compliance, and identity patterns, with the ability to collaborate effectively across technical and business teams and mentor colleagues.Aby zbudować czystszą, mądrzejszą przyszłość, potrzebne są różne umysły: ciekawe, odważne i kreatywne. Dlatego witamy ludzi z każdego środowiska i o różnych doświadczeniach. Chcesz wywrzeć wpływ? Aplikuj już dzisiaj lub odwiedź stronę https://www.abb.com, aby dowiedzieć się więcej o wpływie naszych rozwiązań na całym świecie. Pełny etat

Umowa

• Umowa o pracę

Poziom

• Grade 12

Wymagania

• A minimum of 7 years of experience in software engineering, including designing and delivering enterprise-grade backend and cloud-based solutions, is required.

• At least 2-3 years of hands-on experience building AI-powered applications, LLM-integrated systems, or agent-based workflows in production environments is essential.

• Strong backend engineering skills, ideally in C#/.NET, with Python as a strong plus, are necessary.

• Demonstrated experience with APIs, Git, CI/CD, cloud deployment, and secure enterprise integration is required.

• Proficiency in agent evaluation, testing, verification, RAG, memory patterns, context management, and agent control mechanisms is expected.

• Experience monitoring and optimising AI systems for reliability, performance, and cost is required.

• Understanding of Microsoft enterprise security, compliance, and identity patterns, with the ability to collaborate effectively across technical and business teams and mentor colleagues, is essential.

Zdalna praca

• Nie

Wykształcenie

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical field is required.

Zakres obowiązków

• Develop AI agents and multi-step workflows that support digital service and asset management use cases.

• Turn solution designs into scalable, production-ready implementations across the ABB ELSE landscape.

• Connect agent workflows with enterprise platforms, operational data, APIs, and digital tools used in ABB ELSE services.

• Define effective patterns for tool use, context management, memory, orchestration, and workflow execution.

• Create evaluation and validation approaches to ensure agent quality, safety, accuracy, and performance in real use cases.

• Implement human approval flows, fallback mechanisms, and operational guardrails.

• Ensure production readiness through testing, monitoring, deployment automation, and controlled releases.

• Collaborate cross-functionally with architects, product owners, data engineers, and software teams to deliver reliable, business-ready ABB ELSE solutions.

• Mentor colleagues and help raise the internal bar in agentic AI engineering.

Qualifications for the role

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical field.

• 7+ years of experience in software engineering, including designing and delivering enterprise-grade backend and cloud-based solutions.

• 2-3+ years of hands-on experience building AI-powered applications, LLM-integrated systems, or agent-based workflows in production environments.

• Strong backend engineering skills, ideally in C#/.NET, with Python as a strong plus.

• Strong experience with APIs, Git, CI/CD, cloud deployment, and secure enterprise integration.

• Experience with agent evaluation, testing, verification, RAG, memory patterns, context man-agement, and agent control mechanisms.

• Experience monitoring and optimizing AI systems for reliability, performance, and cost.

• Understanding Microsoft enterprise security, compliance, and identity patterns, with the ability to collaborate effectively across technical and business teams and mentor colleagues.

You will be mainly accountable for

• Develop AI agents and multi-step workflows that support ELSE digital service and asset management use cases.

• Turn solution designs into scalable, production-ready implementations across the ELSE landscape.

• Connect agent workflows with enterprise platforms, operational data, APIs, and digital tools used in ELSE services.

• Define effective patterns for tool use, context management, memory, orchestration, and workflow execution.

• Create evaluation and validation approaches to ensure agent quality, safety, accuracy, and performance in real use cases.

• Implement human approval flows, fallback mechanisms, and operational guardrails.

• Ensure production readiness through testing, monitoring, deployment automation, and controlled releases.

• Work closely with architects, product owners, data engineers, and software teams to deliver reliable, business-ready ELSE solutions.