AI Strategic Specialist

Oracle Oracle · Enterprise · SAO PAULO, SP, Brazil

This role focuses on driving AI adoption within specific industries by identifying strategic opportunities, engaging executive stakeholders, and accelerating the development of AI solutions. It involves designing, prototyping, and demonstrating enterprise AI solutions, with a strong emphasis on Generative AI, Agentic AI, LLMs, RAG, and AI Agents. The role bridges business strategy and technical execution, requiring a blend of software engineering, AI architecture, solution consulting, and business development skills.

What you'd actually do

  1. Identify, qualify, and develop strategic AI opportunities within target accounts.
  2. Design and rapidly develop AI Proof of Concepts (PoCs), MVPs, and prototypes.
  3. Demonstrate AI solutions through live demos and customer workshops.
  4. Collaborate with Engineering to define scalable AI architectures and use cases.
  5. Support the evolution of the AI Factory by defining methodologies, reusable assets, and best practices.

Skills

Required

  • Software engineering
  • AI architecture
  • Solution consulting
  • Business development
  • Python 3
  • Javascript/Typescript
  • SQL
  • REST APIs
  • FastAPI / Flask
  • Git
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • OpenAI Agents SDK
  • Cloud basic knowledge (OCI, Azure, AWS and Google)
  • Docker
  • Kubernetes
  • Linux servers
  • Nginx / Caddy
  • Let's Encrypt
  • OAuth & JWT
  • Websockets
  • Advanced presentation and storytelling skills
  • Ability to communicate with both executive and technical audiences
  • Strong consulting mindset
  • Experience delivering workshops, demos, and customer-facing technical presentations

Nice to have

  • Go
  • Deno/Bun
  • MCP (Model Context Protocol)

What the JD emphasized

  • Hands-on experience designing and building AI solutions using:
  • AI Agents & Multi-Agent Systems
  • Agent Orchestration
  • AI Governance & AI Observability
  • Prompt Engineering & AI Evaluation
  • Large Language Models (LLMs)
  • Generative AI & Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Computer Vision & Multimodal AI
  • Fine tuning

Other signals

  • design and rapidly develop AI Proof of Concepts (PoCs), MVPs, and prototypes
  • Translate business challenges into AI-driven solutions
  • Hands-on experience designing and building AI solutions using: Large Language Models (LLMs), Small Language Models (SLMs), Generative AI & Agentic AI, Retrieval-Augmented Generation (RAG), AI Agents & Multi-Agent Systems, Computer Vision & Multimodal AI, Prompt Engineering & AI Evaluation, Fine tuning, AI Governance & AI Observability, Context Engineering & Memory Architectures, Agent Orchestration