AI Architect
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
The Senior AI Architect will be responsible for defining the technological vision and leading the implementation of nextgeneration Artificial Intelligence architectures. This role combines deep technical expertise strategic thinking and strong business alignment ensuring that AI/GenAI solutions are scalable secure and deliver real impact.
Key Responsibilities
Architecture & Strategy
- Design the target architecture for AI ecosystems including Copilots/Agents Azure OpenAI AI Search data platforms integrations and pipelines ensuring endtoend alignment with customer objectives.
- Define technical standards guardrails security practices domain blueprints and architectural guidelines ensuring crossorganizational consistency.
- Translate business needs into structured technical solutions leading workshops discovery sessions and technical assessments.
- Assess tradeoffs between performance cost risk and complexity when defining AI/GenAI solutions.
Technical Design & Implementation
- Lead the design of scalable secure highperformance AI/GenAI architectures.
- Select the appropriate technologies frameworks and models (LLMs RAG vector DBs multiagent systems MLOps automation tooling).
- Build and validate PoCs and reference architectures to accelerate AI adoption.
- Integrate models agents and data pipelines with APIs microservices core business applications and enterprise data sources.
Governance Quality & Security
- Establish principles for technical security data isolation compliance observability and model governance.
- Ensure adherence to best practices in performance resilience scalability and privacy.
- Define mechanisms for control auditability and continuous improvement of AI architectures in production.
- Work closely with IT and Security teams to ensure consistent integration with the customers enterprise architecture.
- Ensure architectural consistency across multiple AI use cases and domains particularly in largescale AI programs.
Technical Leadership & Collaboration
- Act as a technical authority for internal and external stakeholders including Data Engineering Product teams and Clevel leadership.
- Mentor Data Scientists ML Engineers and Software Engineers promoting technical excellence and best practices.
- Support presales RFPs solution proposals and technology vision for strategic clients.
Qualifications :
- 610 years of experience in software development solution architecture data engineering or AI.
- Solid experience in AI/ML and GenAI including LLMs pipelines RAG and enterprise integration.
- Strong knowledge of ML frameworks such as TensorFlow PyTorch Scikitlearn.
- Significant experience with Azure (preferred) AWS or GCP CI/CD Docker/Kubernetes and microservices.
- Strong understanding of AIrelated security cloud architectures and MLOps practices.
- Excellent communication skills both technical and nontechnical.
- Proven experience in technical leadership and architectural standards definition.
Additional Information :
- Experience in technology consulting and client interaction.
- Certifications such as Azure AI Engineer / Solution Architect AWS ML Specialist Google Cloud ML.
- Knowledge of architecture frameworks: TOGAF DDD Clean Architecture SAFe.
- Participation in conferences talks or thought leadership initiatives.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
About Company
Inetum is a European leader in digital services. Inetums team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetums solutions aim at contributing to its clients performance and innovation as well ... View more
