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Albano Systems, Inc.
AI

Generative AI Engineer

Albano Systems, Inc. ·

Actively hiring Posted 4 months ago

**NO THIRD PARTY OR CORP TO CORP / W2 EMPLOYEES ONLY

Were seeking an AI Engineer/Architect responsible for assisting with the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape, including AWS, Google Cloud Platform (GCP). This role requires a strong blend of strategic architectural background and hands-on technical execution.

Key responsibilities:**

  • Build and implement Generative AI and Agentic AI capabilities that enhance internal business processes and customer experiences.
  • Develop and govern AI agents and copilots, including experience with Microsoft Copilot Studio and enterprise agent development patterns.
  • Design and develop Agentic AI solutions leveraging Model Context Protocol (MCP), Google Agent Development Kit (ADK), LangGraph / LangChain, and Agent Engine on Google Cloud Platform (GCP).
  • Ensure AI and GenAI solutions are architecturally aligned with enterprise technology strategy, and meet scalability, security, resiliency, and compliance requirements.
  • Drive enterprise adoption of GenAI and Agentic AI frameworks, establishing reusable patterns, reference architectures, and best practices.
  • Lead and execute proofs of concept (POCs) to evaluate emerging AI technologies, tools, and frameworks, and transition successful POCs into production-ready solutions.

Required Qualifications:

  • 8- 10 years in Engineering / Architecture disciplines, with at least 3+ years in GenAI and Agentic AI development.
  • Must have at least one GenAI or Agentic AI project end-to-end delivery experience.
  • Technical Expertise :
  • Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, RAG, and Vertex AI.
  • Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM
  • Experience developing IaC and application pipelines using modern automation and DevOps tooling (e.g., Terraform, GitHub Actions)
  • Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.
  • Programming Skills : Python, Java, or similar languages for AI development.
  • Strong problem-solving, communication, and collaboration skills.

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