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Hands-On GenAI Architect
Sin especificarProyectoAI EngineeringIT Consulting
Project-based opportunity for an experienced, hands-on software architect to lead customer-facing discovery and deliver production GenAI systems. The work spans application development, cloud infrastructure, security, and integration with enterprise systems.
Responsabilidades
- Lead or participate in discovery sessions and workshops with business and technical stakeholders, including CTOs and CISOs.
- Translate business needs into an architecture, scoped delivery plan, effort and timeline estimates, and cost estimates.
- Build AI solutions hands-on with coding agents, from proof of concept through production.
- Develop across services and APIs, data pipelines, infrastructure as code, and CI/CD.
- Design and build GenAI systems, including RAG, agents, tool integrations, evaluation, and guardrails.
- Integrate GenAI with customer systems, data, identity, permissions, security models, and audit requirements.
- Own production readiness and hand over systems with runbooks.
- Lead customers through scope and estimates, explain cost, time, and risk trade-offs, and challenge assumptions when needed.
Requisitos
- 15+ years of software engineering experience, including previous software architect or development manager roles, while remaining hands-on with code.
- At least 1 year delivering AI solutions, including RAG, vector databases, agentic workflows, evaluation, guardrails, and cost control.
- Customer-facing delivery experience in consulting, systems integration, or an enterprise-focused product company.
- Experience with multiple LLM providers, including open-source or self-hosted models for on-premises or air-gapped environments.
- Experience taking systems to production and supporting incidents, scaling, and upgrades; able to troubleshoot across application, network, and cloud layers.
- Strong architecture skills in distributed systems, APIs, integration, security, and identity.
- Deep experience with at least one of AWS, GCP, or Azure, plus Kubernetes, infrastructure as code, and CI/CD.
- Strong Python skills and proficiency in at least one additional language, such as TypeScript, Java, C#, or Go.
- Daily use of AI coding agents, with the ability to demonstrate agent setup, specifications, and review and testing practices.
- Professional Hebrew and English.
- Available for project-based engagements as a freelancer or independent consultant.