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Enterprise Data & AI Orchestration Architect

55 minutes ago
Uruguay, Mexico, Argentina, Brazil, Colombia, Peru
Contract
Lead
AI (Artificial Intelligence)
Data Science and Analytics
Apache Airflow Databricks dbt Generative AI Kubernetes Machine Learning MLflow MLOps Snowflake
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Workana

Workana

Workana: Leading Latam's freelance marketplace, connecting top talent with innovative projects for remote and freelance work.

Internet Software & Services
1K-5K
Founded 2012
$3M raised
View All Jobs 35

Description

  • Join technical discovery and deep-dive conversations with enterprise technology leaders.
  • Advise on enterprise AI, data platform, and orchestration architecture.
  • Support XData and orchestration-layer POCs by validating architecture decisions.
  • Review client proposals to ensure the proposed solutions are technically sound and realistic.
  • Provide guidance on MLOps, observability, AI evaluation, and production AI governance.
  • Contribute to thought leadership through technical content, conference talks, or market-facing insights.
  • Help identify risks, trade-offs, and best practices for AI solutions in complex enterprise environments.

Requirements

  • Advanced academic background in Computer Science, Machine Learning, Data Engineering, or a related field.
  • PhD preferred; Master’s degree also considered.
  • Deep hands-on experience building enterprise data platforms in complex, multi-system environments.
  • Strong experience with production AI/ML systems, MLOps, observability, evaluation frameworks, and AI governance.
  • Experience with agentic or GenAI orchestration frameworks such as LangChain, LlamaIndex, AutoGen, Semantic Kernel, or similar.
  • Ability to advise senior technical stakeholders, including CTOs, CDOs, data leaders, and platform engineering teams.
  • Strong architectural judgment and ability to identify what is technically realistic, scalable, and enterprise-ready.
  • Strong English communication skills.
  • Bonus: experience with Microsoft AI ecosystem tools such as Azure AI, Azure OpenAI, Copilot, or Copilot Studio.
  • Bonus: experience with Snowflake, Databricks, MLflow, Kubernetes, Airflow, dbt, or similar enterprise data/AI tooling.

Benefits

  • Advisory retainer up to USD $50/hour.
  • Fractional advisory engagement of approximately 10–20 hours per month.
  • Remote work arrangement.
  • Opportunity to work directly with senior Xenon7 leadership and enterprise clients.
  • Exposure to high-level AI transformation, data platform, and GenAI strategy initiatives.

Interested in this position?

Apply directly on the company website

Apply Now

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