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Enterprise Data & AI Orchestration Architect

5 months ago
Mexico, Argentina, Brazil, Colombia, Peru, Uruguay
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 24

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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