OverviewIn this Senior AI Architect role, you design and scale production-grade AI platforms on Azure, aligning enterprise architecture with practical delivery.
You will shape large-scale AI transformation programs that connect business outcomes to architecture decisions, governance, and secure, observable systems.
You collaborate with architects, Microsoft/GitHub specialists, and client leadership to drive governed AI adoption beyond PoC.
This is a chance to influence enterprise AI ecosystems and engineering practices at scale.
Compensaciones / Beneficios26 paid holiday days
Pension plan
Disability insurance
ESPP
Commuting costs reimbursement
Laptop + corporate simcard + device
ResponsabilidadesDefine target-state architectures for AI platforms, RAG systems, agents, and AI-native engineering workflows
Lead architecture discovery, maturity assessments, roadmaps, platform decisions and delivery governance
Design Azure-first architectures using Azure services (Foundry, OpenAI, AI Search, API Management, AKS, Functions, Insights/Monitor, Key Vault, Entra ID, Cosmos DB, PostgreSQL, Fabric)
Design AI-native engineering systems with GitHub Copilot, Enterprise, Advanced Security, secure PR practices and AI-assisted delivery patterns
Create harnesses around AI systems (tool contracts, retrieval grounding, evaluation, telemetry, cost controls, policy controls, human gates)
Define governance and operational frameworks for Responsible AI, security,



FinOps and observability
Translate business outcomes into architecture and governance across client teams
Facilitate workshops and enablement sessions on AI adoption and engineering excellence
Convert experience into reusable patterns, accelerators and blueprints
Mentor architects/engineers and contribute to presales and solution design initiatives
Requisitos principales10+ years in solution architecture, cloud platforms or platform engineering
Strong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering
Proficiency with Microsoft Azure and modern cloud-native architecture
Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
Track record of moving AI initiatives from PoC to production
Hands-on capability to validate prototypes, review code and guide engineering decisions
Ability to explain practical production AI value beyond demos
Capability to design platform architecture, governance models and AI delivery workflows
Confidence working across enterprise realities, using Azure and GitHub pragmatically
Strong communication skills with executives and technical stakeholders
excellent communication with both executives and technical teams
facilitation of workshops and enablement sessions
mentoring and leadership of architects and engineers
Microsoft Azure
Azure OpenAI
Azure AI Platform (Foundry, AI Search)

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