AI Architect

SDG Group; Italia; In loco; EUR 70.000 - 95.000; Tempo pieno

Descrizione del lavoro

A leading AI solutions provider in Italy is seeking an experienced AI Architect. You will drive teams on groundbreaking AI projects, design advanced cloud platforms, and help define the company’s value proposition in data science. The ideal candidate has at least 8 years of experience, with 5 years in machine learning. Proficiency in cloud technologies such as Azure, AWS, and Google Cloud is essential. Join us to lead transformative projects and push the boundaries of AI innovation.

Servizi

Continuous learning opportunities

Skill development in AI

Competenze

• 8+ years of professional experience, including 5 years in machine learning.
• Deep expertise in data science fundamentals and AIOps methodologies.
• Proven experience designing scalable architectures for machine learning.

Mansioni

• Drive teams to implement AI and Generative AI solutions.
• Architect advanced cloud analytics platforms.
• Collaborate to define the company’s value proposition in data science.

Conoscenze

Machine learning engineering

AI implementation

Communication skills

Data science fundamentals

Software development

Formazione

Degree in Computer Science or related field

Master’s or PhD in Big Data or AI

Strumenti

Azure

AWS

Google Cloud

TensorFlow

PyTorch

Descrizione del lavoro

Join to apply for the AI Architect role at SDG Group

SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry & Business Domain experts, Business Scientist, AI architects & AI Engineers, AI R&D and AI Compliance & Governance Experts.

With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries.

What You'll Do

• Lead Innovation: Drive teams of machine learning engineers to implement groundbreaking AI and Generative AI solutions in large-scale enterprise environments.
• Design the Future: Architect advanced cloud analytics platforms that span the entire data science lifecycle, with a focus on AIOps best practices.
• Shape Strategy: Help our clients craft robust strategies and methodologies for leveraging data science and machine learning in cloud ecosystems.
• Master Cloud Technologies: Work with leading tools and platforms like Azure Databricks, Azure Machine Learning, Amazon SageMaker, Google Vertex AI, and more to develop cutting‑edge solutions.
• Build Our Vision: Collaborate to define SDG’s value proposition in data science, particularly around next‑gen architectures for machine learning systems.
• Create Impact: Work closely with consulting and sales teams to craft compelling business proposals, bringing your solution architecture expertise to every project.
• AI Systems Tech Architecture Solution Design: Design technical architecture solutions for AI systems, leveraging frameworks and best practices from vendors or hyperscalers.
• AI Digital Twin Foundation: Build a robust foundation with a composable architecture of AI and ML systems, rule‑based systems, and cognitive knowledge chains enhanced by generative AI.

What We’re Looking For

• A degree in Computer Science, Telecommunications Engineering, or a related technical field with a strong background in software engineering.
• 8+ years of professional experience, with at least 5 years specializing as a machine learning engineer or machine learning architect.
• Deep theoretical and practical expertise in data science fundamentals, solution lifecycles, and AIOps methodologies.
• Strong background in software development and AI implementation.
• Proven experience designing and building scalable architectures for machine learning platforms in the cloud.
• Advanced knowledge of state‑of‑the‑art cloud technologies and platforms for AI, including Azure, AWS, and Google Cloud.
• Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non‑technical audiences.

Preferred Qualifications

• A Master’s or PhD in Big Data, Artificial Intelligence, or related fields.
• Strong understanding of data architectures and information modeling strategies.
• Previous consulting experience in Data & Analytics.
• Experience as a data engineer in analytics environments like data warehouses or data lakes.
• Expertise in cloud‑based data processing architectures and automation solutions.
• Hands‑on experience with Generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.
• Proficiency with tools and frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI.
• Certifications in cloud platforms like AWS, Azure, or Google Cloud, with a focus on machine learning architecture.

As an AI Architect, you’ll be at the center of transformative projects, helping industry‑leading clients build and deploy machine learning and AI systems in complex, real‑world environments.

We offer continuous learning and growth, empowering you to develop your skills and stay at the forefront of AI innovation.

Ready to push the boundaries of AI? Join us today and help shape the next big breakthrough!