GenAI / AI Architect - GCP ADK & Claude

OmegaHires

$135K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software engineering or architecture experience.
  • Hands-on experience with GCP and Google ADK.
  • Experience building applications with Claude and Anthropic LLMs.
  • Strong understanding of generative AI topics including LLMs and vector databases.
  • Proficiency in Python and REST/API development.
  • Familiarity with AI security and governance practices.

Responsibilities

  • Design and implement AI architectures leveraging GCP and Google ADK.
  • Develop applications utilizing Claude and other LLMs.
  • Manage and integrate AI agents focusing on orchestration and context management.
  • Ensure compliance with AI security and responsible use guidelines.
  • Collaborate with teams to integrate AI solutions into existing enterprise systems.

Benefits

  • Flexible working hours and remote work options.
  • Professional development opportunities and training.
  • Access to cutting-edge technology and tools.
  • Supportive work culture promoting collaboration and innovation.
  • Health and wellness programs to promote employee wellbeing.
Full Job Description
GenAI / AI Architect - GCP ADK & Claude

Required Skills8+ years of software engineering / architecture experience.Strong hands-on experience with GCP and Google ADK (Agent Development Kit).Experience building applications using Claude / Anthropic LLMs.Strong knowledge of Generative AI, LLMs, RAG, embeddings, vector databases, and AI agents.Proficiency in Python and REST/API development.Experience with Vertex AI / Model Garden and cloud-native AI architectures.Strong understanding of agent orchestration, tool/function calling, context management, and prompt engineering.Experience with Docker, Git, CI/CD, and production deployment practices.Strong understanding of AI security, governance, and responsible AI practices.Nice to HaveExperience with LangChain, LangGraph, LlamaIndex, MCP, or similar frameworks.Experience with BigQuery, Pub/Sub, Cloud Run, GKE, Cloud Storage, and Terraform.Experience integrating AI agents with enterprise applications and APIs.Banking, financial services, healthcare, or other regulated-industry experience.Experience with AI evaluation, observability, and guardrails.

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