Senior AI Architect

Senior AI Architect (Agentic Systems / Enterprise AI)

Location: Houston, TX

Employment Type: Full-Time

About the Company

We’re an enterprise AI product company focused on making AI adoption practical and low-friction. We build agentic AI solutions that integrate with legacy systems so organizations can accelerate decision-making, uncover efficiencies, and create new revenue opportunities without disrupting existing operations. Our approach is designed to augment human expertise with reliable, production-grade AI.

The Role

We’re seeking a Senior AI Architect to help design, build, and scale complex AI systems that integrate into diverse enterprise environments—from legacy databases to real-time operational systems. This is a hands-on, high-ownership role for someone who thrives at the intersection of modern AI capabilities and real-world enterprise deployment.

You’ll collaborate closely with engineering and delivery stakeholders and work directly with enterprise customers to architect solutions that produce measurable business outcomes.

What You’ll Do

Architecture & Design

• Design and implement scalable agentic AI architectures deployable across cloud, on-premise, and hybrid environments
• Architect multi-model/consensus approaches to improve reliability and reduce hallucinations
• Develop frameworks for digital twins and AI “teams” that augment existing staff capabilities
• Build robust data integration pipelines across fragmented enterprise systems and legacy software

Technical Leadership

• Lead technical design sessions to translate business problems into buildable AI solutions
• Establish best practices for AI system design, testing, evaluation, and deployment
• Mentor engineers and contribute to a strong AI engineering culture
• Collaborate with partners and internal stakeholders to accelerate delivery and platform evolution

Platform Development

• Enhance platform memory systems (e.g., temporary, short-term, long-term, and feedback memory)
• Build and refine enterprise guardrails and governance controls aligned to security requirements
• Develop real-time data processing capabilities for operational intelligence use cases
• Optimize system performance to deliver proof-of-concepts in weeks (not months)

Client Engagement

• Partner with enterprise clients to understand technical environments, constraints, and integration needs
• Lead technical discovery and POC development for new engagements
• Architect solutions that scale from single use cases to broader enterprise adoption

What We’re Looking For

Required Experience

• Software Architecture experience with 3 years focused on AI/ML systems
• Deep expertise in large language models (LLMs), including prompt engineering, fine-tuning, and orchestration frameworks
• Proven track record deploying production AI systems at enterprise scale
• Strong experience integrating heterogeneous systems (SQL/NoSQL, APIs, and files such as CSV, JSON, XML, HL7)
• Proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow, LangChain, or similar)
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Preferred Experience

• Experience building agentic AI systems or multi-agent architectures
• Exposure to energy, industrial, and/or financial services environments
• Familiarity with real-time/streaming architectures
• Experience with on-premise deployments and air-gapped environments
• Knowledge of enterprise security frameworks and compliance requirements (e.g., SOC 2, HIPAA)

Core Competencies

• Able to translate complex technical concepts to non-technical stakeholders
• Strong problem-solving with a bias toward rapid iteration and delivery
• Comfortable in a fast-paced environment with evolving priorities
• Excellent communication in client-facing settings
• Entrepreneurial mindset and strong ownership orientation