AI Architect for Enterprise Platforms

Eclinicalsolutions; Stati Uniti; Remoto; USD 168.000 - 210.000; Tempo pieno

Descrizione del lavoro

Eclinicalsolutions seeks an enterprise AI Architect to set the technical direction for AI-enabled software, translating product and business needs into secure, scalable designs. You will collaborate with engineering, product, data, security and business teams to shape architecture, operationalize AI features, and mentor architects on responsible AI.

The role emphasizes privacy, governance, explainability and model lifecycle practices, with hands-on guidance on .NET- and Python-based systems and

Competenze

• Extensive experience in software architecture for enterprise web applications.
• Deep knowledge of Microsoft .NET and Python-based systems.
• Strong relational and non-relational database skills.
• Experience with AWS and cloud-native deployments for data-intensive workloads.
• Ability to communicate trade-offs to technical and business stakeholders.

Mansioni

• Assess AI and cloud architectures for scalability, security, and AI readiness.
• Review designs and data flows for performance and governance.
• Define reference architectures for AI services including data ingestion and inference.
• Guide integration of language models into .NET- and Python-based systems.
• Establish prompts, guardrails, model lifecycle management, and observability.
• Mentor engineers and promote responsible AI practices.

Conoscenze

Enterprise software architecture

AI/ML in enterprise

AWS

.NET

Python

Stakeholder communication

Mentoring teams

Strumenti

SQL databases

NoSQL databases

Data modeling

Descrizione del lavoro

Eclinicalsolutions seeks an enterprise AI Architect to set the technical direction for AI-enabled software, translating product and business needs into secure, scalable designs. You will collaborate with engineering, product, data, security and business teams to shape architecture, operationalize AI features, and mentor architects on responsible AI.

The role emphasizes privacy, governance, explainability and model lifecycle practices, with hands-on guidance on .NET- and Python-based systems and