Position: Principal Agentic AI Architect
Location: Fort Worth, Texas (Hybrid)
Duration: Long Term
Job ID: 178614
Job Overview: As a Principal Solution Architect, you will play a pivotal role in defining and driving the technical architecture for an agentic AI platform. You will collaborate with engineers and architects to design, develop, and maintain scalable, secure, and reliable AI systems. This role requires a deep understanding of AI/ML platform systems, distributed systems design, and hands-on experience with LLM orchestration frameworks. The position is hybrid, requiring onsite work three days a week and two days virtually.
Responsibilities: - Design and evolve the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
- Establish patterns for agent reliability, observability, and guardrails at production scale.
- Lead technical design reviews and produce architecture decision records (ADRs).
- Collaborate with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable.
- Evaluate and integrate emerging agentic AI frameworks such as LangGraph, CrewAI, Semantic Kernel, and AutoGen.
- Define API contracts, data flow patterns, and integration standards across the AI platform ecosystem.
- Mentor engineers on best practices for building production-grade AI systems.
Qualifications: - 10+ years of software architecture experience, with at least 3 years designing AI/ML platform systems.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
- Deep expertise in distributed systems design, microservices architecture, event-driven patterns, and API design (REST/gRPC).
- Strong proficiency in Python and at least one of Java, Go, or TypeScript.
- Production experience building and deploying agentic AI systems or LLM-powered applications at scale.
- Experience with prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability.
Nice to Have Skills: - Experience with Kubernetes/container orchestration and cloud platforms (AWS, Azure, Google Cloud Platform).
- Familiarity with MLOps/LLMOps tooling and vector databases (Pinecone, Weaviate, pgvector).
- Knowledge of knowledge graphs and airline/travel domain experience.
- TOGAF or similar architecture certification.
- Experience with multi-agent system design patterns and agent evaluation/benchmarking frameworks.
What Makes a Great Candidate? A great candidate is a seasoned architect who has shipped production agentic AI systems, not just prototypes. They can design multi-agent orchestration systems, debate tradeoffs between different LLM routing strategies, and implement designs in code. They understand the importance of reliability, graceful degradation, and observability at scale. They are constructive in providing feedback, have strong opinions backed by experience, and elevate the performance of their team.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $XXX - $XXX
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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