Principal Solutions Architect - AI Data Platform

Oracle; Región Centro; Presencial; MXN 2,209,000 - 2,762,000; Jornada completa

Descripción de la vacante

A leading tech company in Mexico is seeking a Principal Solutions Architect – AI Data Platform to provide expert architectural guidance on modern AI/ML data platforms. You will collaborate with cross-functional teams to address architecture challenges, conduct technical workshops, and partner with customers to design scalable AI-centric data architectures. Strong experience with LLMs and big data technologies is required.

Formación

• Experience with OCI Gen AI Services and model lifecycle workflows.
• Exposure to building autonomous agents and orchestration pipelines.
• Experience working with cloud platforms like Oracle Cloud Infrastructure.

Responsabilidades

• Collaborate across product, engineering, and field teams for AI architecture challenges.
• Deliver technical workshops and presentations on Oracle AI Data Platform.
• Partner with customers to assess and design AI-centric data architectures.

Conocimientos

Experience with LLMs and agentic frameworks

Knowledge of RAG pipelines and vector DBs

Solid Python and REST API skills

Excellent communication and collaboration skills

Troubleshooting and problem-solving skills

Commitment to continuous learning

Herramientas

Hadoop

Spark

Kafka

NoSQL

Descripción del empleo

Principal Solutions Architect – AI Data Platform

Oracle’s Forward Deployed Engineer (FDE) team is hiring a Principal Solutions Architect – AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle’s Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies.

Key Responsibilities

• Collaborate across product, engineering, and field teams to address complex AI/ML architecture challenges and ensure customer success.
• Deliver technical workshops, blogs, and presentations to evangelize best practices around Oracle AI Data Platform.
• Provide strategic guidance on data strategy, model lifecycle management, and Gen AI deployment patterns using OCI AI Services.
• Partner with customers to assess, design, and evolve end-to-end AI-centric data architectures across Oracle Cloud Infrastructure (OCI) and hybrid environments.
• Proactively recognize customer requirements, uncover unaddressed needs, and develop potential solutions across various customer groups.
• Review and support big data infrastructures: This involves review of existing comprehensive designs for big data architectures that align with the business's strategic goals and requirements.
• Collaborating with cross-functional teams.
• Prepare for complex product or solution-related inquiries or challenges that customers may present.
• Promote understanding of customer complexities and the value propositions of various programs (e.g., speaking at different events, team meetings, product reviews) to key internal stakeholders.

Qualifications

Career Level – IC4

Primary Skills

• Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).
• Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate).
• Familiarity with OCI Gen AI Services and model lifecycle workflows.
• Solid Python and REST API skills.
• Exposure to building autonomous agents and orchestration pipelines.
• Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA).
• Proficiency in big data technologies such as Hadoop, Spark, Kafka, and NoSQL.
• Design and implement scalable, secure, and efficient complex data architectures.
• Manage and optimize large-scale databases.
• Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues.
• Troubleshooting and problem-solving skills.
• Excellent communication and collaboration skills.
• Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends.

Desirable Skills

• Worked with multiple Cloud Platforms.
• Certification in Big Data or a related field.