AI Solution Architect

2 weeks ago

San Jose, Mimaropa, Philippines beBeeArtificial Full time $90,000 - $120,000
Job Opportunity

We are looking for a professional to design and deploy AI-powered solutions that improve our operations and client-facing services.

Key Responsibilities:
  • Architect, deploy and maintain scalable vector databases using platforms like Pinecone, Weaviate, Milvus or ChromaDB.
  • Design efficient data ingestion pipelines from diverse sources, including emails, PDFs, SharePoint and Slack.
  • Embed internal knowledge from documents using transformer-based models.
  • Develop and optimize chunking, embedding, indexing and retrieval strategies to ensure peak RAG performance.
  • Build and deploy autonomous AI agents using frameworks such as LangChain, CrewAI, AutoGen or AgentOps to automate document analysis and summarization, contract summarization, procurement tracking and invoicing workflows.
  • Fine-tune agents to integrate with internal APIs and tools.
  • Implement robust security and permission models to control agent access and actions across departments.
  • Integrate AI solutions with existing systems via REST, GraphQL and Webhooks.
  • Build comprehensive monitoring and logging systems to track agent performance and behavior.
  • Lead the selection, fine-tuning and optimization of both hosted and open-source models.
  • Partner with stakeholders to align AI initiatives with core business objectives.
  • Develop documentation and training materials for internal users.
  • Stay on top of emerging AI tools and research applicable to vector-based retrieval and autonomous agents.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Engineering or a related field.
  • Hands-on experience in AI, ML engineering or backend software engineering.
  • Proficiency in Python and AI agent frameworks like LangChain, CrewAI or similar.
  • Experience with vector databases such as Pinecone, Weaviate or ChromaDB.
  • Deep understanding of LLMs and embedding models (OpenAI, Hugging Face models).
  • Experience with REST APIs and data integration.
  • Familiarity with Docker, cloud platforms (Azure, GCP, AWS) and CI/CD pipelines.
  • Proven ability to develop enterprise-grade RAG pipelines.
  • Familiarity with OAuth2 authentication and secure API token management.
  • Exposure to SaaS platforms.
  • Understanding of document structures in legal, financial or engineering domains.
  • Excellent communication skills, both written and verbal.
  • Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
  • Proactive, punctual and a strong team player with a high attention to detail.

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