Lead AI Solutions Architect for Enterprise Platforms

Lutech; Bergamo; In loco; EUR 45.000 - 55.000; Tempo pieno

Vantaggi offerti da questo lavoro

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Descrizione del lavoro

Lutech is seeking a Solution Architect for Data Analytics to design AI solutions and end-to-end application architectures, including agentic AI and RAG, for client engagements. You will build technical and commercial proposals, estimate effort, define roadmaps, and present to technical and executive stakeholders, while coordinating delivery projects and leading a team.

Candidates should have strong experience in AI architectures, cloud platforms such as GCP or Azure, and enterprise integration

Competenze

• Extensive experience designing AI/Generative AI architectures.
• Experience with agent systems, multi-agent orchestration, RAG and LLM gateways.
• Cloud experience with GCP and/or Azure and related AI/data services.
• Knowledge of enterprise integration patterns and governance, security and compliance.
• Ability to design scalable architectures and document for technical and executive audiences.
• Leadership and presales experience with project coordination.

Mansioni

• Build technical-commercial proposals.
• Estimate effort for delivery projects.
• Define roadmaps and present solutions to technical and executive stakeholders.
• Coordinate delivery projects, managing planning, progress, risks and client relationships.
• Manage a team of technical resources and oversee work quality and skill development.
• Act as liaison between client requirements and architectural translations.

Conoscenze

AI architecture

Cloud platforms

Integration patterns

AI governance

PM & presales

Team leadership

Strumenti

Vertex AI

BigQuery

Microsoft Fabric

SAP integration

Databricks

Descrizione del lavoro

Lutech is seeking a Solution Architect for Data Analytics to design AI solutions and end-to-end application architectures, including agentic AI and RAG, for client engagements. You will build technical and commercial proposals, estimate effort, define roadmaps, and present to technical and executive stakeholders, while coordinating delivery projects and leading a team.

Candidates should have strong experience in AI architectures, cloud platforms such as GCP or Azure, and enterprise integration