Software Architect - AI Governance

CRIF; Milano; In loco; EUR 32.000 - 39.000; Tempo pieno

Descrizione del lavoro

CRIF is seeking an experienced AI Governance Software Architect to join our AI Governance team and support architecture, assessment and technical governance of enterprise AI and Generative AI technologies.

The role collaborates with Corporate Architects, Platform Engineering, ITS and the GenAI Factory to translate regulatory requirements into technical controls and perform hands‑on validation as needed.

Competenze

• 7+ years of experience in Software Engineering, Software Architecture, Solution Architecture or equivalent senior technical roles.
• Direct professional experience with AI and Generative AI technologies in enterprise projects.
• Strong knowledge of distributed systems, cloud-native architectures, APIs and enterprise integration patterns.
• Practical experience with public cloud platforms such as AWS and/or Azure.
• Good knowledge of LLMs, RAG, embeddings, vector databases, AI Agents and agentic architectures.
• Experience integrating foundation models and AI services through APIs and SDKs.
• Hands-on knowledge of MCP and agent/tool integration patterns.
• Experience with AI Governance platforms, AI registries or model/agent governance solutions.
• Knowledge of policy-as-code and Infrastructure as Code approaches and their application to automated technical controls.
• Knowledge of CI/CD, containers and modern software engineering practices.
• Understanding of identity, application security, observability and technical auditability.
• Knowledge of AI Governance, Responsible AI and AI lifecycle concepts.
• Familiarity with AI-related regulations and standards such as EU AI Act, ISO/IEC 42001 and NIST AI RMF.
• Excellent knowledge of English.

Mansioni

• Define and assess architecture patterns and technical standards for AI and GenAI technologies.
• Evaluate AI platforms, frameworks, cloud services and emerging technologies.
• Translate governance, security and regulatory requirements into technical architecture requirements and controls.
• Perform hands‑on technical validation, prototyping and code‑level analysis when required.
• Contribute to reference architectures, technology assessments and technical recommendations.
• Collaborate with Corporate Architects, Platform Engineering, ITS and the GenAI Factory.

Conoscenze

7+ years experience

GenAI in enterprise

Distributed systems

AWS/Azure

LLMs & embeddings

APIs/SDKs

AI governance

Policy as code

CI/CD & containers

Identity & security

Responsible AI & lifecycle

AI regulations (EU AI Act etc)

English proficiency

Descrizione del lavoro

We are looking for an experienced AI Governance Software Architect to join our AI Governance team and support the architecture, assessment and technical governance of enterprise AI and Generative AI technologies.

The ideal candidate combines strong software architecture expertise, hands-on programming capabilities and proven professional experience with AI/GenAI technologies in enterprise environments.

The role works closely with Corporate Architects, Platform Engineering, ITS and the GenAI Factory.

Key Responsibilities

• Define and assess architecture patterns and technical standards for AI and GenAI technologies.
• Evaluate AI platforms, frameworks, cloud services and emerging technologies.
• Translate governance, security and regulatory requirements into technical architecture requirements and controls.
• Perform hands‑on technical validation, prototyping and code‑level analysis when required.
• Contribute to reference architectures, technology assessments and technical recommendations.
• Collaborate with Corporate Architects, Platform Engineering, ITS and the GenAI Factory.

Required Skills

Essential Knowledge and Requirements

• 7+ years of experience in Software Engineering, Software Architecture, Solution Architecture or equivalent senior technical roles.
• Direct professional experience with AI and Generative AI technologies in enterprise projects or platforms.
• Strong knowledge of distributed systems, cloud-native architectures, APIs and enterprise integration patterns.
• Practical experience with public cloud platforms such as AWS and/or Azure.
• Good knowledge of LLMs, RAG, embeddings, vector databases, AI Agents and agentic architectures.
• Experience integrating foundation models and AI services through APIs and SDKs.
• Hands‑on knowledge of MCP and agent/tool integration patterns.
• Experience with AI Governance platforms, AI registries or model/agent governance solutions.
• Knowledge of policy-as-code and Infrastructure as Code approaches and their application to automated technical controls.
• Knowledge of CI/CD, containers and modern software engineering practices.
• Understanding of identity, application security, observability and technical auditability.
• Knowledge of AI Governance, Responsible AI and AI lifecycle concepts.
• Familiarity with AI‑related regulations and standards such as EU AI Act, ISO/IEC 42001 and NIST AI RMF.
• Excellent knowledge of English.

Nice to Have

• Experience in financial services or other regulated industries.
• Cloud, Architecture, AI or Cybersecurity professional certifications.

Soft Skills

• Strong analytical and problem‑solving mindset.
• Hands‑on and pragmatic technical approach.
• Strong communication and collaboration skills.
• Continuous learning mindset focused on emerging AI technologies.

We offer a safe and inclusive environment where colleagues are encouraged to think outside the box. CRIF is committed to creating a diverse, inclusive work environment and promoting equal opportunities throughout the employee life cycle. We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity

Contract: Permanent.

The Annual Salary for this position starts from €35.000 gross per year.

The level of classification will be determined during the selection process based on the candidate’s profile and in accordance with the National Collective Labour Agreement (CCNL) for the Tertiary, Distribution and Services sector.

The final compensation package, including any variable components (such as MBO) or additional benefits, will depend on the assessment of the candidate’s profile against the role requirements.

Pursuant to Regulation (EU) 2016/679 (“GDPR”), candidates are hereby informed that their personal data will be processed exclusively for purposes related to the management of their application and the selection process. For further information on the processing of personal data and on the exercise of their privacy rights, candidates are invited to consult the full privacy notice available at the following Link, in the “Terms of Use” section.