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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