AI Agentic Architect

AI Architect | Engineering | Lehi, Utah | Hybrid

RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.

Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.

We're searching for a [location-based] AI Architect to join our Engineering team, so that we can design and deliver next-generation AI systems that power safer, more efficient healthcare solutions. The AI Architect will lead the design and implementation of agentic AI architectures, ensuring scalability, innovation, and measurable client impact.

How You'll Spend Your Time

Architect multi-agent AI solutions to ensure scalability, performance, and seamless integration with RLDatix products.

Evaluate and select frameworks, tools, and technologies to optimize cost, performance, and maintainability.

Design, build, and deploy multi-agent AI systems with capabilities in planning, reasoning, memory, and action execution.

Develop a multi-year AI / ML capability roadmap in collaboration with product, engineering, and data teams.

Research and innovate by staying ahead of emerging AI technologies and driving practical adoption into production.

Mentor engineers and foster a culture of technical excellence and innovation.

Implement evaluation, monitoring, and retraining processes to maintain system accuracy, reliability, and performance.

Ensure strong governance, security, and ethical AI practices throughout the agent lifecycle.

What Kind of Things We're Most Interested in You Having

Hands-on expertise in designing and developing multi-agent AI systems.

Proven experience creating AI system architectures and roadmaps in production environments.

Experience deploying scalable AI / ML applications on cloud platforms (AWS, Azure, or GCP) with MLOps pipelines.

Strong programming skills in Python with familiarity across AI / ML libraries and frameworks.

In-depth knowledge of Large Language Models (LLMs), orchestration engines, vector databases, and RAG approaches.

Strong grasp of software architecture principles, design patterns, and system integration best practices.

Background in integrating AI into SaaS platforms (preferred).

Deep understanding of data engineering, governance, and privacy regulations in healthcare or other regulated industries.

Experience designing and building RESTful APIs and microservices for AI / ML integration.

Excellent communication skills with the ability to bridge technical and business perspectives.

A collaborative, problem-solving mindset with strategic thinking to design complex systems.

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and / or State laws.

As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

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