AI Solutions Architect

Remote, United States

Precision Medicine Group

With the discipline of precision medicine as our foundation, Precision Medicine Group leverages specialized expertise to move science closer to health.

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Position Summary:

The Enterprise AI Solutions Architect will serve as a strategic AI leader and AI enterprise architect, driving the delivery of scalable, high-quality AI solutions while streamlining AI enterprise architecture to reduce technical debt. This role is critical in enabling Precision Medicine Group’s (PMG) ability to leverage data and technology as a foundation for advanced AI capabilities.

This individual will provide technical and architectural leadership across AI initiatives and modernization efforts as well as support and implement PMG’s AI strategy. They will partner closely with AI Governance Members, Enterprise Architects, System Engineers, DevOps, and product teams to ensure alignment between technical design and business strategy. The Enterprise AI Solutions Architect will also work closely with PRISM data, AI, and analytics teams, and partner with PRISMai Lead ML Engineer to ensure enterprise-wide coordination and delivery.

The ideal candidate will be a change agent who can lead architectural modernization, improve system interoperability, and establish best practices that support iterative AI development and responsible innovation.

Key Responsibilities:

  • Create architectural designs for AI initiatives, ensuring scalability, security, and alignment with business objectives.
  • Design, document, prototype, and review AI system architectures, roadmaps, and reference models.
  • Modernize and rationalize legacy platforms and services to support AI enablement and enterprise data integration.
  • Partner with PRISM Data & Analytics Services, and Lead ML Engineer to ensure cohesive architecture across data, analytics, and AI platforms.
  • Partner with product and project managers to scope AI efforts, estimate timelines, and oversee technical delivery.
  • Lead technical reviews, guide development standards, and support continuous delivery practices including CI/CD and DevOps.
  • Actively monitor deployed AI models to ensure performance and accuracy meet operational and ethical standards.
  • Mentor engineering teams and foster a culture of innovation, collaboration, and continuous improvement.

Qualifications:

Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or related field required. Master’s preferred.

Work Experience:

  • 5+ years of experience delivering enterprise-scale AI or data-driven solutions.
  • 5+ years of experience leading architectural transformation, AI platform development, or enterprise modernization efforts.
  • Proven experience with AI model integration, cloud-native platforms, and microservices architecture.
  • Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices.

Technical Stack and Tools:

PMG is a Snowflake-first organization, leveraging both Azure and AWS services to support enterprise architecture. The role requires familiarity with:

  • Cloud platforms and services (Azure, AWS)
  • Data platform architecture using Snowflake
  • Exploratory development using Jupiter Notebook
  • Emerging platforms such as Snowflake Cortex for LLM and vector search integration
  • General understanding of secure pipelines, Lakehouse models, and interoperability across hybrid cloud environments

AI/ML Frameworks & Technologies:

  • · TensorFlow, PyTorch, Scikit-learn, MLflow, Hugging Face Transformers, spaCy, LangChain
  • · LLM architecture patterns including retrieval-augmented generation (RAG) and prompt engineering
  • · Text-to-vector and text-to-SQL applications
  • · Object detection models such as YOLOv5
  • · Experience integrating knowledge graphs (e.g., Neo4j, RDF/SPARQL, AWS Neptune) into AI pipelines for semantic reasoning and structured context

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.Reasonable estimate of the current range$162,000—$243,000 USD

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. 

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

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Tags: Agile AI governance AI strategy Architecture AWS Azure CI/CD Computer Science DevOps Engineering LangChain LLMs Machine Learning Microservices MLFlow Neo4j Pipelines Privacy Prompt engineering PyTorch RAG RDF Scikit-learn Security Snowflake spaCy SQL TensorFlow Transformers

Perks/benefits: Health care Insurance Parental leave Salary bonus

Regions: Remote/Anywhere North America
Country: United States

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