Title: Agentic AI Architect/Engineer
Location: Dallas TX
Duration: 12 months with extension
Work Requirements: , Holders or Authorized to Work in the U.S.
Skillset / Experience:
Job Description
As a Senior Engineer 2 – Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture of client’s agentic AI platform. You will lead the design and evolution of multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines, ensuring the platform is reliable, secure, scalable, and production-ready.
Day-to-day responsibilities include:
- Designing and evolving the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
- Establishing architectural patterns for agent reliability, observability, security, and guardrails at production scale.
- Leading technical design reviews and documenting key architectural decisions through Architecture Decision Records (ADRs).
- Collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, maintainable, and aligned with enterprise architecture standards.
- Evaluating and integrating emerging agentic AI frameworks, including LangGraph, CrewAI, Semantic Kernel, and AutoGen.
- Defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem.
- Mentoring engineers on best practices for designing, developing, deploying, and operating production-grade AI systems.
- Evaluating architectural trade-offs and establishing design patterns that support high availability, fault tolerance, graceful degradation, and operational excellence.
Top 3 Mandatory Skills and Experience1. Software Architecture and AI/ML Platform Design- 10+ years of software engineering and architecture experience, including at least 3 years designing AI/ML platform systems.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar technologies.
- Proven ability to define enterprise-level architecture for complex, distributed software platforms.
2. Distributed Systems and Modern Software Architecture- Deep expertise in distributed systems, microservices architecture, event-driven design patterns, and API development using REST and/or gRPC.
- Strong proficiency in Python and at least one additional programming language: Java, Go, or TypeScript.
- Experience defining scalable integration patterns, service boundaries, API contracts, and data flow standards across enterprise platforms.
3. Production-Grade Agentic AI and LLM Applications- Demonstrated experience building, deploying, and supporting production agentic AI systems or LLM-powered applications at scale—not just proofs of concept or prototypes.
- Strong understanding of prompt engineering, agent tool use, multi-agent orchestration, retrieval-augmented generation (RAG), and LLM integration patterns.
- Experience implementing agent reliability, observability, evaluation, error handling, and production monitoring strategies.
Nice-to-Have Skills- Experience with Kubernetes, container orchestration, and cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with MLOps/LLMOps tooling and practices.
- Experience with vector databases such as Pinecone, Weaviate, or pgvector.
- Knowledge of knowledge graphs and their integration with AI applications.
- Experience designing multi-agent system patterns and implementing agent evaluation, testing, and benchmarking frameworks.
- Airline, aviation, travel, or other large-scale, mission-critical enterprise domain experience.
- TOGAF or a comparable enterprise architecture certification.
Ideal Candidate ProfileThe ideal candidate is a seasoned software architect with 10+ years of experience who has successfully designed, built, and deployed production-grade agentic AI systems—not just prototypes or experimental solutions.
They can whiteboard a complex multi-agent orchestration architecture, explain the trade-offs between different LLM routing strategies, and demonstrate their designs through hands-on coding and technical implementation. They understand the challenges of operating agentic AI systems at enterprise scale, including reliability, fault tolerance, graceful degradation, security, observability, and performance.
This individual brings strong architectural judgment, practical engineering expertise, and the ability to translate emerging AI capabilities into dependable enterprise platforms. They can challenge assumptions constructively, make sound technology decisions backed by real-world experience, lead technical design discussions, and elevate the engineering team through mentorship and collaboration.
The strongest candidates combine architectural leadership with hands-on implementation experience and a proven track record of operating agentic AI applications in production. Our benefits package includes:- Comprehensive medical benefits
- Competitive pay
- 401(k) retirement plan
- …and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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