Forward Deployed - AI Solutions Architect (GenAI & Agentic AI)

Added
8 days ago
Type
Full time
Salary
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Related skills

python databricks rag langchain genai

πŸ“‹ Description

  • Partner directly with enterprise clients to understand business objectives, identify AI
  • Lead technical discovery sessions, architecture workshops, and solution design discussions with
  • Design end-to-end AI architectures covering LLM integration, retrieval-augmented generation (RAG)
  • Develop solution blueprints, technical specifications, architecture diagrams, and implementation
  • Present technical recommendations, architectural trade-offs, and implementation strategies to both
  • Evaluate third-party and partner-proposed AI solutions, assessing architecture, agent workflows

🎯 Requirements

  • 8+ years of overall experience in software engineering, solution architecture, AI/ML engineering
  • At least 2 years of hands-on experience developing Generative AI applications and LLM-powered
  • Demonstrated experience designing and building AI agents, agentic workflows, and multi-agent
  • Strong practical knowledge of LLMs, RAG architectures, embeddings, vector databases or vector
  • Experience processing unstructured data, including PDFs, documents, OCR outputs, images, and other
  • Strong Python development skills, including API development, integration patterns, debugging, and

🎁 Benefits

  • Inclusion at ShyftLabs: We’re building something big, and we want you on the journey with us. If
  • ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive
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