AI Solutions Architect

Position Title: AI Solutions Architect

Work Location: Tucson, AZ (Onsite)

Assignment Duration: 12 months (possibility of extension)

Work Arrangement: Onsite

Position Summary:

As the AI Solutions Architect, you will support the automation and digitization of product development workflows for the Roche Tissue Diagnostics Development Organization.

In this role, you will create custom technical solutions to assist our scientists and engineers in accelerating innovation.

Background & Context:

You are expected to assess system interactions, develop new automated workflows, and simplify with long term solutions.

Key Responsibilities:

* Workflow Transformation: Partner with Subject Matter Experts (SMEs) to audit and map complex diagnostic workflows, identifying bottlenecks and designing "future state" processes that transition analog tasks into digitized, automated systems.

* AI Solution Architecture: Design and deploy end-to-end technical solutions utilizing LLMs, scripting (Python/Bash), and integration tools to automate manual data entry and information retrieval.

* Quality & Risk Mitigation: Develop and manage rigorous evaluation frameworks for AI outputs, ensuring quality checks are in place to mitigate hallucinations and maintain strict adherence to data privacy and security compliance.

* Prompt & API Engineering: Design, test, and refine complex prompt structures and manage the integration of AI APIs into existing business systems to enhance organizational productivity.

* Performance Tracking: Establish baseline productivity metrics and track KPIs to measure the ROI and time saved through newly implemented automated processes.

* Strategic Change Management: Lead the rollout of new AI tools across the organization, providing technical communication that translates complex concepts into actionable insights for non-technical stakeholders to ensure high adoption rates.

Qualification & Experience:

* LLM & Generative AI Expertise: Advanced proficiency in state-of-the-art models, including a deep understanding of token limits, specific model constraints, and appropriate use cases for varying architectures.

* Systems Architecture & Digitization: Proven ability to architect solutions that bridge siloed data environments and create accessible, digitized information flows.

* Communication: Proven skill in bridging the communication gap between specialized Subject Matter Experts (SMEs) and technical teams, ensuring that AI solutions address the specific pain points of a product development environment.

* Technical Scripting & Automation: Proficiency in Python or Bash and hands-on experience with automation platforms.

* Analytical Problem Solving: Strong capability to take ambiguous, manual problems and engineer streamlined, scalable, and autonomous solutions.

* Cross-Functional Collaboration: Exceptional ability to partner with scientists and engineering teams, translating technical requirements into operational excellence.

* Strategic Decision Making: Critical thinking skills to determine the most efficient tool for a task, knowing when to deploy a complex AI model versus a simple, cost-effective script.

* Bachelor's Degree or equivalent in a directly related discipline with 4 yrs experience OR MS with 2+ yrs or PhD.