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AI Solutions Architect
Sin especificarTiempo completoAI Engineering
Lead cross-organizational AI solutions, including RAG and information access, and support development teams with secure implementation and hands-on technical guidance.
Responsabilidades
- Plan and lead cross-organizational AI solutions and make information repositories accessible through RAG
- Guide development teams on appropriate model use and establish procedures that meet regulatory and information-security requirements
- Manage external vendors through monitoring, guidance, and coordination on AI projects
- Provide technical guidance and problem-solving, including building working proofs of concept and contributing code
- Coordinate work across data, infrastructure, cybersecurity, development, legal, privacy, and external vendors
Requisitos
- 4+ years of experience as a cloud solutions architect across PaaS, IaaS, or SaaS
- 2–3 years of experience designing AI, GenAI, or ML solutions in medium or large organizations
- Strong knowledge of GenAI architectures and RAG, including LLMs, embeddings, vector databases, agents, prompt orchestration, evaluation, and guardrails
- Hands-on experience with Amazon Bedrock and AgentCore, including Bedrock Agents, Knowledge Bases, and API connectivity
- Experience building proofs of concept and coding in Python, TypeScript, Node.js, Java, or C#
- Experience designing integrations, APIs, HLD/LLD documents, and microservices, serverless, and event-driven architectures in cloud or hybrid environments
- Strong understanding of information security, including IAM, VPC, PII, and logging, as well as data governance
- Relevant education
Se valora
- Experience in DevOps, DevSecOps, platform engineering, MLOps, or LLMOps
- Experience in government, public-sector, or financial organizations