Senior Solutions Architect (AI) - Houston
New
$190K to $240K/year
Location Houston, TX
Workplace Type Hybrid
Position Type Permanent
Sector Technology
Years of Experience 10+ years
Skills
- Solution Architecture
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Agentic Workflows
- Python
- Cloud Architecture
- Enterprise Integration
- Kubernetes
- MLOps
- Microservices
- SAP BTP
- Prompt Engineering
- TypeScript
- React
- Azure
- AWS
- GCP
Job Description
Senior Solutions Architect
Location: Houston preferred; Texas-based candidates considered | Experience: 10+ years | Pay: $190K-$240K + 20-25% bonus
About the Role
You'll design and deliver AI-enabled, cloud-based solutions for enterprise clients in a hands-on technical leadership role that spans discovery, solution design, proof of concept, and delivery oversight. This role is based in Texas, with Houston preferred, and includes up to 50% travel.
You'll work closely with the company's AI platform and serve as a technical lead across the full client lifecycle, from early solution shaping through implementation.
Key Responsibilities
- Lead customer discovery to identify business objectives, technical constraints, and solution opportunities
- Translate business needs into scalable architectures, technical designs, project scopes, and statements of work
- Architect AI solutions using LLMs, RAG, agentic workflows, vector databases, embeddings, and prompt engineering, grounded in strong cloud and application architecture
- Build proofs of concept, MVPs, and reference architectures that validate the approach and help speed delivery
- Act as a trusted technical advisor to clients across sales, implementation, and delivery
- Partner with product and engineering to improve platform capabilities and define integration patterns
- Establish architecture standards, governance practices, and reusable frameworks
- Mentor engineers on system design, AI implementation, and software architecture
- Support pre-sales work through solution presentations, demos, and customer workshops
Qualifications
- 10+ years of experience in solution architecture, software engineering, distributed systems, or cloud technologies
- Hands-on professional experience applying AI and LLMs in real software delivery
- Experience delivering enterprise applications with modern frameworks, including Python (FastAPI, Flask, Django) and/or Node.js, TypeScript, React
- Proven experience architecting AI patterns such as RAG, vector databases, embeddings, prompt engineering, and agentic workflows
- Experience deploying on Azure, AWS, GCP, or SAP BTP
- Strong grounding in application architecture, distributed systems, SDLC, and enterprise integration
- Customer-facing experience leading discovery sessions, design workshops, and technical consulting engagements
- Excellent written, verbal, and presentation skills
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent experience
- Preferred experience with microservices, event-driven systems, DevOps/MLOps, containerization, Kubernetes, and enterprise security frameworks
- Experience delivering AI solutions in regulated or complex enterprise environments is preferred