Python/GenAI Solutions Architect

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Provectus

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

💼 Conseil

🏥 Santé

🏭 Fabrication

Consulting • Healthcare • Manufacturing

Provectus est un cabinet de conseil en intelligence artificielle et un fournisseur de solutions qui aide les entreprises à se transformer grâce à l'IA. Offrant à la fois une approche par cas d'utilisation et par plateforme, Provectus intègre l'IA dans les organisations pour atteindre des objectifs commerciaux uniques et des capacités techniques. Leurs solutions sont cloud-native, agnostiques aux fournisseurs et ouvertes, permettant une implantation dans le cloud du client sans licences restrictives. Avec des applications dans des secteurs comme la vente au détail, la fabrication et la santé, Provectus livre des cas d'utilisation propulsés par l'IA et des solutions clés en main pour stimuler l'innovation et l'efficacité. Ils offrent également des services de conseil, de personnalisation et de gestion d'IA.

Description

• Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance • Spend time with the people who do the job the system is meant to change before designing the system, so the architecture is grounded in how the work actually happens • Write clean, production grade Python across AI integrations, backend services, and RESTful APIs using Flask, Django, or FastAPI • Design, build, and optimize production RAG systems and agentic AI solutions • Own system design and architectural decisions across the engagement, including microservices versus monolith, synchronous versus event-driven, and SQL versus NoSQL • Own the technical direction from discovery through delivery • Act as the client's direct technical point of contact, presenting architecture, defending trade-offs, and challenging scope against timeline or budget • Support presales activities including discovery calls, technical proposals, scoping, and client-facing demos • Lead architecture reviews, produce technical design documents, and contribute to Python practice standards • Feed engagement learnings into Provectus's blueprint library • Mentor engineers, lead code reviews, and share knowledge across the team

🎯 Exigences

• 7+ years building and running production systems; hands-on production experience required • Production experience with live RAG systems and LLM-based agentic workflows • Backend development experience with Flask, Django REST, or FastAPI • Recent hands-on AWS experience, including services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP considered • Experience with LLM APIs such as OpenAI, Anthropic Claude, or AWS Bedrock • Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization • Demonstrated experience making and defending system design and architectural trade-off decisions • Ability to own direct communication with client stakeholders • Willingness to work closely with end users before designing systems and comfort with underspecified engagements • Strong testing practices with pytest, mocking, and integration tests for AI systems • Experience with Docker and Kubernetes • Understanding of LLM evaluation techniques and quality assurance approaches • Experience deploying and maintaining AI/ML models in production environments • Daily use of AI-assisted development tools such as Claude Code or Copilot • Proactive and self-directed approach; ownership of outcomes end to end • B2+ English proficiency and comfort collaborating across distributed, multicultural teams

🏖️ Avantages

• Full ownership of production engagements, not a review and hand off role • Access to Provectus's blueprint library, built from every engagement we have shipped • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications • Career growth: a clear path toward SA or beyond; we actively develop our engineers • Access to the latest AI tools and premium subscriptions • Long term B2B collaboration • Remote first within Europe, with flexible hours • Private medical insurance or a budget for your medical needs • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need for comfortable, productive work