Principal Applied Scientist

Responsibilities

• Embed directly with healthcare customers and clinical teams to develop a deep, first-hand understanding of their workflows, pain points, and operational realities.

• Translate observed customer workflows into concrete AI solution designs, identifying high-impact opportunities where generative AI can deliver measurable improvement.

• Build and ship AI-powered prototypes and production solutions at high velocity, using AI-accelerated development practices to compress the cycle from insight to working software.

• Rapidly iterate on solutions based on live customer feedback, clinical validation, and real-world performance data - treating every deployment as a learning loop.

• Leverage AI coding tools, automated testing, and modern acceleration frameworks to sustain a pace of delivery that traditional development cannot match.

• Serve as the technical bridge between customer needs and OHAI’s core AI platform, feeding field insights back to the Applied Science and Engineering teams to shape the product roadmap.

• Design and execute solution architectures that are pragmatic, deployable, and robust enough for clinical environments, balancing speed with reliability.

• Develop reusable patterns, templates, and toolkits that scale successful deployments across multiple customer sites.

• Own the end-to-end delivery of customer-facing AI solutions, from initial scoping through deployment, monitoring, and handover.

• Communicate complex technical concepts clearly to clinical stakeholders, executives, and non-technical partners, building trust and alignment.

• Identify and manage risks specific to deploying AI in live healthcare settings, including data quality, integration challenges, and change management.

Qualifications and Experience

Required

• Demonstrated experience in AI-accelerated development - using LLMs, AI coding assistants, and generative AI tools as core parts of your own development workflow to dramatically increase speed and output.

• Proven ability to rapidly iterate: a track record of moving from ambiguous customer problems to working prototypes in days, not quarters.

• Strong experience working directly with customers or end users to understand workflows, gather requirements, and co-design solutions - not from a spec document, but from direct observation and partnership.

• Ability to translate complex, messy, real-world workflows into clear solution architectures and working AI applications.

• Hands-on proficiency building applications with Large Language Models (LLMs) and generative AI, including prompt engineering, retrieval-augmented generation (RAG), agent-based architectures, and API integration.

• Strong software engineering skills with the ability to write production-quality code quickly - comfort across the stack, from backend services to lightweight front-end interfaces.

• Familiarity with modern LLM frameworks and tooling (e.g., LangChain, LlamaIndex, vector stores, function calling, evaluation frameworks).

• Excellent communication and stakeholder management skills - the ability to build rapport with clinical staff, present to executives, and navigate complex organisational dynamics.

• A bias for action and comfort with ambiguity: you default to building and testing over planning and analysing.

• Must be eligible to work in Australia without sponsorship.

Preferred Qualifications

• Experience deploying AI solutions in healthcare, clinical, or regulated environments.

• Familiarity with clinical workflows, electronic health records (EHR), or health data standards (HL7, FHIR).

• Experience with computer vision, multimodal models, or clinical NLP.

• Background in consulting, solutions engineering, customer success, or other customer-facing technical roles.

• Experience building internal tools, accelerators, or reusable deployment frameworks.

Education

• Master’s or Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 3-5+ years of relevant experience in applied AI, solutions engineering, or a comparable role; OR

• PhD in a related field with relevant applied experience.

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