Sr. Software Architect - Agentic AI Platform
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Role details
Tech stack
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Job description
Client is seeking a Senior Software Architect Agentic AI Platform to define and drive the architecture for enterprise-scale Agentic AI solutions. The ideal candidate will have strong software architecture experience with hands-on expertise building and deploying LLM-powered applications, multi-agent systems, RAG pipelines, and AI platforms in production environments., Title: Principal Solution Architect Location: Fort Worth, TX - 76155 Work mode: Hybrid onsite (Tue/Wed/Thu) Duration: 12+ months Min. years’ experience: 10+ Years of Experien…
- 4 days ago
Requirements
- 10+ years of experience in Software Architecture or Senior Engineering roles.
- 3+ years of experience designing and implementing AI/ML platform systems.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar.
- Proven experience building and deploying Agentic AI or LLM-powered applications at production scale.
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Strong understanding of:
- Multi-agent orchestration
- Agent tool-use patterns
- RAG pipelines
- Prompt engineering
- AI reliability, observability, security, and guardrails
- Strong experience with distributed systems, microservices, and event-driven architecture.
- Experience designing REST and/or gRPC APIs.
- Advanced programming experience with Python.
- Experience with at least one additional language: Java, Go, or TypeScript.
- Strong architectural decision-making, technical leadership, and mentoring skills.
Preferred Skills
- Experience with Kubernetes and container orchestration.
- Experience with AWS, Azure, or Google Cloud Platform.
- Knowledge of MLOps and LLMOps practices.
- Experience with vector databases such as Pinecone, Weaviate, or pgvector.
- Experience with graph databases or knowledge graphs.
- Experience with multi-agent system design patterns.
- Familiarity with AI evaluation and benchmarking frameworks.
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