AI Solutions Architect – Platform Enablement

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

Brazil

Posted

6 days ago

Salary

0

Seniority

Senior

Bachelor DegreePortugueseAWSAzureGoogle Cloud Platform

Job Description

AI Solutions Architect – Platform Enablement

Compass

• Lead technical enablement for engineering and product teams in the use of the IARA platform; • Lead the adoption of components for developing and deploying AI agents at scale; • Coordinate and execute migrations of legacy AI solutions to the new platform; • Systematically identify bugs, documentation gaps and adoption barriers, proposing and tracking resolutions; • Produce high-quality technical materials: guides, reference architectures, runbooks and code samples; • Translate community feedback into actionable inputs for product and engineering teams; • Serve as the technical authority and point of contact between the platform and its consumer teams;

Job Requirements

  • Proven experience with AI/ML platforms in production within large enterprise environments;
  • Deep knowledge of AI agents, LLMs and workflow orchestration patterns;
  • Background in technical enablement, developer advocacy or AI solution architecture;
  • Ability to produce reference technical documentation and lead knowledge-transfer sessions with engineering teams;
  • Full autonomy to identify issues, propose solutions and execute without requiring direction;
  • Experience with AWS, Azure or GCP in the context of ML/AI platforms;
  • Hands-on expertise with agent frameworks: LangChain, LangGraph, CrewAI, AutoGen or similar;
  • Experience with MLOps platforms (MLflow, Vertex AI, SageMaker, Kubeflow);
  • Previous experience at large banks, fintechs or technology companies with a platform-oriented culture;
  • Experience in product environments with agile squads and short delivery cycles;

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