Senior AI Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Science

In short

In questa posizione di Ingegnere AI Senior a Bologna, guiderai la progettazione, lo sviluppo e il deployment di soluzioni AI avanzate, inclusa l'IA generativa e l'IA agentica. Sarai responsabile di tradurre esigenze complesse in capacità scalabili e sicure, promuovendo al contempo pratiche di ingegneria e adozione responsabile dell'IA.

Responsibilities

Lead the design, architecture, development, deployment, support, and continuous improvement of complex production AI solutions, including generative AI, agentic AI, and selected machine-learning or data-science applications.
Translate complex or ambiguous business opportunities into solution architectures, delivery approaches, and production capabilities, using advanced judgment when information or precedent is limited.
Own significant architecture and design decisions for assigned initiatives, evaluate technical alternatives and risks, and develop secure APIs, workflows, applications, integrations, and reusable components using approved enterprise capabilities.
Advance engineering and DevOps practices across PRM AI solutions by developing reusable patterns, improving technical standards, leading critical peer reviews, and strengthening testing, deployment, documentation, monitoring, and operational support.
Enable employees to use approved AI capabilities effectively and responsibly through training, demonstrations, prompt and use-case coaching, reusable guidance, and hands-on support across the global PRM organization.
Assess technical, operational, and responsible-AI risks; operationalize established Emerson and PRM governance requirements; and guide teams through architecture, privacy, cybersecurity, compliance, testing, documentation, review, and production-readiness decisions.
Influence global business and technical stakeholders, coach other engineers, review complex work, and promote reusable practices that raise AI engineering quality and accelerate responsible delivery across PRM.

Requirements

Demonstrated experience independently leading the design, architecture, delivery, and production support of complex AI, machine-learning, or AI-enabled software solutions.
Strong software-engineering capability in a modern programming language, with experience designing secure APIs and integrations and applying source control, automated testing, CI/CD, deployment controls, and production observability.
Hands-on experience developing generative and agentic AI solutions using patterns such as grounding and retrieval, structured outputs, tool or function use, workflow orchestration, evaluation, safety controls, and human oversight.
Experience making significant solution-architecture and technical-risk decisions across enterprise cloud or AI platforms, business applications, data sources, and workflows.
Experience operationalizing security, privacy, responsible-AI, documentation, quality, governance, and monitoring requirements throughout the solution lifecycle.
Ability to translate ambiguous business problems into clear technical approaches, explain complex decisions to technical and non-technical stakeholders, and influence delivery across a global organization.
Experience providing technical guidance through peer review, coaching, reusable engineering practices, or cross-functional collaboration while remaining accountable for hands-on delivery.

Desired Qualifications

Experience with Microsoft Azure AI services or Microsoft Foundry, Copilot Studio, and the Microsoft Power Platform.
Familiarity with Microsoft 365 Copilot, GitHub Copilot or other approved development assistants, and enterprise AI adoption or enablement.
Experience with retrieval-augmented generation, agent orchestration, prompt and model evaluation, observability, or MLOps/LLMOps practices in production environments.
Experience applying traditional machine-learning, data-science, data-engineering, Power BI, or Microsoft Fabric capabilities where they are appropriate to the business problem.
Experience delivering AI or automation solutions in industrial, manufacturing, engineering, or another complex enterprise environment.
Experience working across globally distributed or matrixed teams and developing reusable technical standards, reference patterns, or shared components.
Experience mentoring engineers, leading complex peer reviews, or guiding teams through architecture, governance, and production-readiness decisions.

Benefits

Competitive base salary, within the local market in which we operate
Reward performance during our annual merit review process
Support to thrive through mentorship, training, or leadership opportunities
Ongoing career development
Growing an inclusive culture

Skills

Generative AIMachine LearningAPIsDevOpsCI/CDPrompt EngineeringRetrieval Augmented GenerationMLOpsLLMOpsData ScienceData EngineeringPower BIMicrosoft Fabric

#AI#Machine Learning#Generative AI#DevOps#Software Engineering

About Emerson

Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…

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