Position: AI Solution Architect – Agentic & Generative AI
Locations: Austin [Hybrid]
Role Overview
We are seeking a highly hands-on AI Engineering leader with deep expertise in Generative AI, Agentic systems, and production-grade AI platforms. This role is not a pure management role – the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and influencing platform strategy. The candidate must demonstrate strong AI + AWS cloud expertise, with proven experience delivering enterprise-grade AI solutions in production environments.
Core Responsibilities
<>AI System Design & Development
Design and build production-grade GenAI systems, including:
- Multi-agent architectures
- Retrieval-Augmented Generation (RAG) pipelines
- GraphRAG implementations
- Autonomous agent workflows and orchestration
Develop and integrate AI agents with tools, APIs, and enterprise systems. Implement MCP-based agent communication and tool-use frameworks. Apply advanced prompt engineering techniques for reliability and performance.
<>Agentic AI & Evaluation
Build and deploy multi-agent orchestration systems. Develop and implement agent evaluation frameworks and RAG evaluation pipelines. Measure and optimize output quality, hallucination rates, relevance, and groundedness. Continuously improve models through evaluation-driven iteration.
<>Engineering & Platform Development
Develop APIs and services using Python (primary) and .NET (preferred). Build scalable AI services with REST APIs and Microservices architecture. Contribute to web-based AI applications using Angular / TypeScript (preferred). Integrate AI systems into enterprise workflows and applications.
<>Cloud & Infrastructure (AWS Focus)
Design and deploy AI solutions on AWS, leveraging Lambda, S3, EC2, EKS, Glue, SNS, SQS, Kafka-based streaming architectures. Build scalable and secure AI pipelines using cloud-native patterns. Implement cost-efficient and high-performance AI workloads.
<>DevOps & CI/CD
Design and implement CI/CD pipelines using GitHub Actions. Integrate AI workflows into CI/CD pipelines with strong AWS integration. Ensure automated deployment, testing and validation of AI systems, continuous monitoring, and iteration.
<>AI Development Tooling
- Leverage modern AI development tools and ecosystems, including:
- Claude (Claude API / Claude Code)
- Cursor AI (AI-assisted development workflows)
- Build and optimize developer workflows using AI-assisted coding tools
Required Qualifications
- 12+ years of overall engineering experience
- 7+ years of hands-on AI/ML / GenAI development in production environments
Strong experience building:
- AI agents (minimum 3+ implementations)
- GraphRAG systems (minimum 3+ implementations)
- MCP-based integrations (minimum 2+)
Proven expertise in:
- Multi-agent orchestration
- RAG pipelines
- Agent and RAG evaluation frameworks
Strong programming skills in:
- Python (must-have)
- Experience with API development and system integration
- Strong experience with AWS cloud platform (must-have)
Preferred Qualifications
- Experience with .NET / C# development
- Terraform (Infrastructure as Code)
- Experience building Web applications using Angular / TypeScript
- Familiarity with Kafka-based streaming systems
- Exposure to Advanced AI orchestration frameworks (LangChain, LangGraph, etc.)
Never miss an opportunity! Create an alert based on the job you applied for.
