Lead Generative AI Specialist Job in Italy (Remote Option) – Apply Now

📍 Location: eu

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in eu

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This role is a Senior-Level Generative AI leadership position focused on building advanced AI systems in the energy technology domain. Based in Florence, this opportunity with Baker Hughes targets candidates with 5+ years of experience in LLMs, multimodal AI, and deep learning systems. The ideal candidate combines strong research capabilities with production deployment expertise, capable of leading AI innovation initiatives while collaborating across engineering and business teams to deliver measurable impact.

🌍 Work Eligibility & Location

This role offers a flexible working model, allowing professionals to work remotely or onsite depending on preference and project needs. While visa sponsorship is not clearly stated, candidates already based in Europe or with existing work authorization will have a strategic advantage. The hybrid/remote flexibility increases accessibility for international applicants, but alignment with European time zones is critical for collaboration.

💰 Salary Intelligence

Although the company does not publish compensation, similar senior-level generative AI roles in Europe typically fall within the €85K–€120K range, with potential upside depending on research impact and leadership scope. Given the company’s global presence and technical expectations, this role is positioned competitively within the upper mid-to-senior AI salary tier, especially in the energy sector where AI talent demand is accelerating.

📊 Role Breakdown

This role is heavily weighted toward advanced AI model development (40%), where you will design and implement LLMs, VLMs, GANs, and multimodal architectures using frameworks like PyTorch and TensorFlow. Around 25% of your time will focus on research and innovation, exploring new generative techniques and pushing boundaries in applied AI for energy systems.

Another 20% involves cross-functional integration, working with engineering and product teams to embed models into production environments while optimizing performance and scalability. The remaining 15% is dedicated to technical communication, including presenting findings, influencing stakeholders, and aligning AI outputs with business outcomes.

This is not a pure research role—it demands a balance between hands-on model development, production deployment, and strategic leadership. Success requires the ability to translate cutting-edge research into real-world industrial applications with measurable performance gains.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty role targeting experienced professionals with deep expertise in generative AI systems. The 5+ years requirement, combined with expectations in both research and deployment, significantly narrows the candidate pool. Additionally, competition is intense due to the global demand for senior AI specialists, especially those capable of bridging research and real-world implementation.

🚀 Career Impact

This role delivers strong career acceleration into AI leadership, especially within industrial and energy-focused AI systems. You gain exposure to large-scale AI deployments, positioning yourself for future roles such as Head of AI, Principal Scientist, or AI Strategy Lead. The combination of research and applied engineering creates a rare profile valued across both startups and enterprise environments.

📋 Key Responsibilities

You will design and develop generative AI models including LLMs, GANs, and multimodal systems, ensuring they meet both technical and business requirements. A key part of the role is to lead research initiatives, exploring new methodologies and improving model performance.

You will also collaborate with cross-functional teams to integrate AI solutions into production systems, optimizing scalability and efficiency. Additionally, you will develop and test software components using Python, PyTorch, and TensorFlow while maintaining high-quality engineering standards.

Finally, you are expected to present insights and reports to stakeholders, translating complex AI outputs into actionable business strategies.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role was posted recently, indicating high urgency in hiring. Early applicants will have a significant advantage before the pipeline fills. Due to the senior-level nature, the competition is intense but narrower, favoring candidates with proven generative AI deployment experience and strong technical portfolios.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This job listing originates from the company’s official careers portal, ensuring high source credibility and accuracy of information. The posting is recently updated (within the last week), confirming that the role is actively open and accepting applications.