AI Solutions Architect

Description:

***This is an onsite position for an AI Solutions Architect with 4 years of experience. Pay for this position will depend on experience,
JOB 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.

--Your daily impact involves generating innovative automation design solutions, testing for performance, and identifying prime opportunities to design and deploy Generative AI and Robotic Process Automation solutions.

--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.

KNOWLEDGE, SKILLS, & ABILITIES

--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.

EDUCATION REQUIREMENT

--Bachelor’s Degree or equivalent in a directly related discipline with 4 yrs experience OR
MS with 2+ yrs or PhD