Workana

Freelancer marketplace connecting clients with professionals

Enterprise Data & AI Orchestration Architect

Technology & Systems ConsultingConfirmed live in the last 24 hours

Part-timeRemote in Brazil$50 /hr

About the Job

Requirements

Advanced academic background in Computer Science, Machine Learning, Data Engineering, or a related field; a PhD is preferred, and a Master's degree is 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 generative AI orchestration frameworks such as LangChain, LlamaIndex, AutoGen, Semantic Kernel, or similar.
Ability to advise senior technical stakeholders, including CTOs, Chief Data Officers, 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.

Responsibilities

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 proof-of-concepts 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 when designing AI solutions for complex enterprise environments.

Desired Qualifications

Experience with Microsoft AI ecosystem tools such as Azure AI, Azure OpenAI, Copilot, or Copilot Studio.
Experience with Snowflake, Databricks, MLflow, Kubernetes, Airflow, dbt, or similar enterprise data/AI tooling.

Enterprise Data & AI Orchestration Architect

Workana · Brazil (Remote) · Contract · Posted 2026-05-06

Workplace: remote

Department: Workana (inhouse)

Description

Xenon7 is looking for a Fractional Enterprise Data & AI Orchestration Architect to support senior-level client conversations, technical discovery, and architecture validation for enterprise AI initiatives.

This is a part-time advisory role, ideal for someone with deep experience designing enterprise data platforms, AI orchestration layers, MLOps practices, and production-grade GenAI systems. You will help Xenon7 validate technical decisions, shape AI/data proposals, and bring senior credibility to conversations with CTOs, Chief Data Officers, and platform engineering leaders.

This is not a full-time delivery role. The expected commitment is around 10–20 hours per month on an advisory retainer.

Responsibilities

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.

Apply

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About the Company

Workana

Freelancer marketplace connecting clients with professionals

Workana connects businesses with independent professionals in Latin America through a freelancer marketplace. Clients post projects and hire talent across fields like IT, design, marketing, and admin support, while freelancers create profiles, showcase skills, and bid on opportunities. The platform earns commissions on completed projects and uses an escrow system to securely hold client payments until the work is finished to the client's satisfaction. It differentiates itself by focusing on the Latin American market, using freelancer rankings and tiers, and growing through regional expansion and partnerships to simplify hiring remote talent with secure transactions.

Company size: 5,001-10,000
Company stage: Series C
Total funding: $15.8M
Headquarters: Buenos Aires, Argentina
Founded: 2012

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