Senior Agentic AI Platform Architect (Hybrid)

Akaasa Technologies

United States

Hybrid

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Akaasa Technologies is seeking a senior AI architect to lead the Agentic AI Platform design. In this hybrid Fort Worth, TX role you will shape multi-agent orchestration, tool-use frameworks, and LLM integration pipelines to build production-grade systems.

You will mentor engineers, define ADRs, review architecture decisions, and collaborate with ML and software teams to ensure reliability, security, and scalable performance at airline-scale-like needs.

Qualifications

  • At least 3 years designing AI/ML platform systems.
  • Hands-on with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, or similar).
  • Strong Python and at least one of Java/Go/TypeScript.
  • Production experience building agentic AI systems or LLM-powered apps at scale, including prompt engineering, tool-use patterns, RAG pipelines, and observability.

Responsibilities

  • Define and drive architecture for multi-agent orchestration systems.
  • Design patterns for reliability, observability, and guardrails at production scale.
  • Lead design reviews and ADRs.
  • Collaborate with ML and software engineers to ensure scalable, secure components.
  • Evaluate and integrate emerging agentic AI frameworks.
  • Define API contracts, data flow patterns, and integration standards.
  • Mentor engineers on production-grade AI systems.

Skills

LLM orchestration frameworks
Distributed systems design
Microservices architecture
API design REST/gRPC
Python
Java/Go/TypeScript
Agentic AI systems at scale
Observability
Tool-use patterns

Tools

Kubernetes
Cloud platforms AWS/Azure/GCP
MLOps/LLMOps tooling
Vector databases (Pinecone/Weaviate/pgvector)

Job description

Akaasa Technologies is seeking a senior AI architect to lead the Agentic AI Platform design. In this hybrid Fort Worth, TX role you will shape multi-agent orchestration, tool-use frameworks, and LLM integration pipelines to build production-grade systems.

You will mentor engineers, define ADRs, review architecture decisions, and collaborate with ML and software teams to ensure reliability, security, and scalable performance at airline-scale-like needs.

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