AI Agentic Architect
AI Agentic Architect
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Job Description
AI Architect Product Management Lehi Utah Hybrid
RLDatix (RLD) is on a mission to help raise the standard of careeverywhere. Trusted by over 10000 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 2000 team members in making a difference in healthcareevery day.
Were searching for a Lehi basedAI 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.
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 Were 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.
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 RLDatixs 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 dont hesitate to send a note to .
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.
Required Experience:
Unclear Seniority
Employment Type
Full Time
