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Challenge

Cloud Solution Architect – Generative AI (AWS Focus)

Ranking: 24

Job Description:

As a Cloud Solution Architect, you will play a pivotal role in shaping and evolving the architecture of GenAI solutions for a major banking client. You'll lead the design of secure, scalable integrations with large language models (LLMs) and ensure seamless alignment with cloud infrastructure, business goals, and compliance standards.

Key Responsibilities:

 Architecture Design & Governance

  • Lead the design and continuous evolution of GenAI architectures , including orchestration, RAG (Retrieval-Augmented Generation), and storage.

  • Promote microservices-based, decoupled architectures and DevOps best practices.

  • Ensure robust multicloud strategies (AWS primary, with exposure to Azure & GCP).

 Emerging Tech Exploration

  • Evaluate emerging LLM capabilities (eg, Mistral, Llama, Claude ) for business use cases.

  • Drive architectural innovation aligned with the technological roadmap.

 Security & Compliance

  • Collaborate with security and legal teams to implement guardrails , encryption, access controls, and ethical AI practices.

  • Ensure full compliance with data protection laws , digital rights, and regulatory requirements.

 Stakeholder Collaboration

  • Act as a key technical liaison between cross-functional teams (security, development, legal, product).

  • Contribute to decisions around multicloud deployment and global/regional architecture.

Required Skills & Experience:

☁️ Cloud & Infrastructure:

  • Deep expertise in AWS Cloud services : Lambda, App Runner, S3, DynamoDB, OpenSearch.

  • Familiarity with GCP and Azure .

  • Experience with IaC tools (Terraform, Bitbucket, Jenkins) and event-driven architectures .

  • Strong understanding of cloud security principles, secrets management (IAM, mTLS).

 LLM/GenAI Expertise:

  • Experience with LangChain , LangGraph , RAG pattern , prompt engineering, semantic search, fine-tuning, multimodal models, LLMOps.

  • Implementation of guardrails : content filtering, validation, adversarial prompt defense.

 Tech Stack:

  • Proficiency in Python .

  • API development and integration.

Preferred Qualifications:

  • 5+ years in solution/enterprise architecture roles within complex environments.

  • 2+ years specifically with GenAI or LLM-based solutions.

  • Strong communication skills for presenting to non-technical stakeholders .

  • Experience working in regulated industries with high compliance standards.

  • English: B2 minimum (C1 preferred) .

Cloud Solution Architect – Generative AI (AWS Focus)

Ranking: 24

Job Description:

As a Cloud Solution Architect, you will play a pivotal role in shaping and evolving the architecture of GenAI solutions for a major banking client. You'll lead the design of secure, scalable integrations with large language models (LLMs) and ensure seamless alignment with cloud infrastructure, business goals, and compliance standards.

Key Responsibilities:

 Architecture Design & Governance

  • Lead the design and continuous evolution of GenAI architectures , including orchestration, RAG (Retrieval-Augmented Generation), and storage.

  • Promote microservices-based, decoupled architectures and DevOps best practices.

  • Ensure robust multicloud strategies (AWS primary, with exposure to Azure & GCP).

 Emerging Tech Exploration

  • Evaluate emerging LLM capabilities (eg, Mistral, Llama, Claude ) for business use cases.

  • Drive architectural innovation aligned with the technological roadmap.

 Security & Compliance

  • Collaborate with security and legal teams to implement guardrails , encryption, access controls, and ethical AI practices.

  • Ensure full compliance with data protection laws , digital rights, and regulatory requirements.

 Stakeholder Collaboration

  • Act as a key technical liaison between cross-functional teams (security, development, legal, product).

  • Contribute to decisions around multicloud deployment and global/regional architecture.

Required Skills & Experience:

☁️ Cloud & Infrastructure:

  • Deep expertise in AWS Cloud services : Lambda, App Runner, S3, DynamoDB, OpenSearch.

  • Familiarity with GCP and Azure .

  • Experience with IaC tools (Terraform, Bitbucket, Jenkins) and event-driven architectures .

  • Strong understanding of cloud security principles, secrets management (IAM, mTLS).

 LLM/GenAI Expertise:

  • Experience with LangChain , LangGraph , RAG pattern , prompt engineering, semantic search, fine-tuning, multimodal models, LLMOps.

  • Implementation of guardrails : content filtering, validation, adversarial prompt defense.

 Tech Stack:

  • Proficiency in Python .

  • API development and integration.

Preferred Qualifications:

  • 5+ years in solution/enterprise architecture roles within complex environments.

  • 2+ years specifically with GenAI or LLM-based solutions.

  • Strong communication skills for presenting to non-technical stakeholders .

  • Experience working in regulated industries with high compliance standards.

  • English: B2 minimum (C1 preferred) .

About the projects you will work on

You will work 100% remotely from wherever you decide. Sometimes you may have face-to-face meetings and for that reason you have to reside in Spain or in the European Union.

You will work on projects with a leading company in digital transformation with a passion for technology and innovation in sectors such as banking (35 of the main banks worldwide work with our client), insurance, industrial and automotive in Big Data projects, Blockchain, AI, Cloud, among others.

About the client

  • Global presence in more than 15 markets
  • 8,000+ employees
  • more than 35 years of experience

About the process and your contractual relationship

If you are interested in this offer, we will enroll you in the process and submit your application, blindly, that is, without your contact details, to the technical and human resources department so that they can evaluate your profile and your financial expectations.

If the answer is positive, we organize the meetings so that the client knows you and explains the project in detail.

If after the meeting both parties agree on the conditions, you receive a firm offer to work with us or directly be hired by the client.

  • Equipo
  • Evaluador
  • Manager
  • Agencia
  • Cliente

GFT Cliente

Cliente

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Sandra Lobero

Agencia

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Paco Romero

Agencia

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Teba Gomez-Monche

Agencia

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claudia herrero

Agencia

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Hugo Herrero

Manager

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Víctor M. herrero

Evaluador

Comentarios: 3