Enterprise Data & AI Orchestration Architect

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🕒 May 6

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Workana

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

👥 HR Tech

🏪 Marketplace

🎯 Recruiter

💰 Series C on 2024-02

HR Tech • Marketplace • Recruitment

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

📋 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, such as technical content, conference talks, or market-facing insights. • Help Xenon7 identify risks, trade-offs, and best practices when designing AI solutions for 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: 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.