Shape the Future of AI — Maori Talent Hub 12 applicants
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
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Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
Serve as a technical advisor to drive the adoption of Databricks and Azure Data & AI solutions for customers and partners. Lead architectural reviews, resolve technical blockers, and develop reusable intellectual property to accelerate cloud transformation.
The AI Engineer will design, build, and scale production-grade AI systems and APIs to power consumer and clinician-facing products. This includes owning the full lifecycle of AI features from prototyping and data pipeline design to deployment and monitoring.
The Applied AI Lead identifies high-impact AI opportunities across the business, sizes their potential, and builds the solutions from diagnosis to deployment. They are responsible for iterating on these tools to drive measurable improvements in company-wide KPIs.
Develop and deploy real-time conversational voice agents and fine-tune clinical AI models for a primary care platform. Build evaluation pipelines and simulation capabilities to ensure model safety and accuracy before production.
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Lead a multidisciplinary squad by orchestrating AI agents across the entire Software Development Life Cycle to ensure efficient delivery. Coordinate workflows, monitor AI output quality, and facilitate agile ceremonies to align human and AI collaboration.
The Lead AI Engineer will design and deploy production-grade agentic systems that execute real-world actions with human-in-the-loop controls. They will own the end-to-end agentic function, including architecture, retrieval engineering, and the growth of the technical team.
Design and validate high-quality datasets for training and evaluating financial-domain LLMs and AI agents. Translate complex financial goals into concrete dataset specifications, rubrics, and statistical evidence to support model risk management.
The role involves designing and validating high-quality datasets and evaluation frameworks for healthcare-specific generative AI models. You will translate clinical goals into measurable specifications and ensure the clinical validity and safety of AI outputs across multimodal health data.
The role focuses on orchestrating cross-functional value creation initiatives and driving the company's AI transformation agenda. Key duties include building KPI dashboards, tracking business impact, and supporting operating model transitions for senior leadership.
Own the full-cycle recruiting process for senior technical roles, including sourcing, screening, and pipeline management in Airtable. Partner with technical leads to design scoring rubrics and manage the flow from assessment to client presentation.
Build and deploy AI-powered micro-apps, agents, and integrations on a governed GCP platform. Partner with business units to transition proofs of concept into production-ready software with robust monitoring and security.
Lead the design and implementation of agent-native AI products using multi-agent orchestration and RAG on Databricks. Build scalable ETL pipelines and deploy machine learning models as tools within the orchestration layer.
The Principal AI Engineer will lead the technical design, governance, and deployment of AI/ML solutions across a global business portfolio. This includes building reusable internal tooling, establishing security standards, and mentoring engineering teams to ensure scalable production patterns.
Lead the experience design for complex AI-enabled clinical workflows to reduce clinician cognitive burden and administrative work. Define experience strategies and evolve the Oracle Health Design System to ensure cohesive end-to-end user experiences.
Own the end-to-end video production pipeline, creating high-impact game trailers, social content, and cinematic sequences. Collaborate with cross-functional teams to experiment with AI tools and establish scalable editing standards.
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Build and evolve shared platform capabilities across Azure, AWS, and Power Platform to enable AI-accelerated engineering. Drive platform reliability, observability, and the operationalization of AI-enabled development workflows and CI/CD pipelines.
Serve as the primary technical expert for AI Agent technology, leading discovery workshops and high-stakes demonstrations to drive sales opportunities. Collaborate with Core SEs and Product teams to translate business problems into technical solutions and provide product feedback.
Lead the AI-enabled engineering initiative by designing and orchestrating multi-agent systems to automate software development workflows. You will create the logic and scaffolding for AI agents to plan, write, review, test, and deploy software.
Manage patient scheduling by handling live call transfers and reviewing bookings captured by an AI system. Coordinate with healthcare providers to validate patient lists and enter appointments into EHR systems.
Architect and optimize a large-scale, fault-tolerant backend system to secure data flows between enterprises and AI models. Lead technical direction for AI security features and mentor senior and staff engineers to raise the team's technical bar.
Lead the design and implementation of enterprise AI solutions, specifically focusing on search and summarization for the Joint Longitudinal Viewer. Ensure all architectures are scalable, secure, and compliant with Federal cybersecurity and healthcare governance requirements.
Design and implement enterprise AI solutions using LLMs and RAG to support the Department of Veterans Affairs' AI summarization initiatives. Develop secure, scalable cloud-native applications and RESTful APIs while ensuring compliance with federal security and healthcare governance standards.
Embed within client operations to learn business processes firsthand before rebuilding them from first principles using AI. Ship production-ready GenAI systems and own the measurable business outcomes for clients in financial services and healthcare.
Lead state-of-the-art research and development by creating novel AI workflows and models to solve security problems. The role involves incorporating advanced statistical modeling and applied mathematics to advance the platform's intent-aware security capabilities.
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Develop and drive the organization's AI strategy and transformation to improve work quality and velocity across all teams. Lead the AI operating cadence, establish adoption measurement frameworks, and partner with Engineering on tooling operations.
Lead the design and implementation of quality assurance protocols for AI training data, model evaluation, and multi-modal data for robotics and autonomous vehicles. Act as the primary strategic point of contact for customers to define high-quality data standards and drive thought leadership in AI model robustness.
Design and deploy AI/ML and Generative AI solutions to build intelligent data products and digital experiences. Develop full-stack applications and cloud-native data solutions to enable self-service analytics and operational insights.
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