• Act as Product Owner for the IV.AI Data Platform, responsible for defining product strategy, roadmap execution, and overall platform performance. • Partner with engineering, data, and operations teams to translate product strategy into clearly defined requirements, development priorities, and delivery milestones. • Lead the prioritization and delivery of platform features, ensuring initiatives are aligned with company objectives and delivered according to roadmap commitments. • Work cross-functionally with engineering, design, and internal stakeholders to scope initiatives, estimate resourcing needs, and ensure successful implementation of product enhancements. • Monitor product performance and customer health metrics metrics to inform continuous improvement, proactively addressing friction points to drive user adoption. • Support the planning and execution of platform initiatives by developing delivery estimates, aligning resources, and ensuring projects meet approved budget and margin expectations. • Gather, define, and document product requirements that can be understood by technical project managers, developers, designers, colleagues in content, marketing, and sales, and executives • Conduct regular ideation and specification sessions to ensure alignment of stakeholders across departments, business lines, and partner organizations • Work with Lead Engineer(s) to write stories and acceptance criteria, maintaining backlog for development and ensuring priorities are assigned to appropriate sprints • Develop resourcing and delivery estimates in collaboration with engineering and operations teams. • Monitor project scope, budget, and delivery to ensure engagements meet margin expectations and financial targets. • Own the day-to-day prioritization and approval of features as they are released • Experience shipping both responsive websites and native mobile apps • Act as the main point of contact for product questions, issues, and feedback • Work with the project teams to improve project and content management workflows • Review product performance against KPIs, test and make feature improvements • A client-focused, metrics-informed approach to product • Conduct competitive research and analysis, evaluating impacts of potential product features • Answering both internal and external product-related queries in a timely manner • Maintaining customer relationships and ensuring customer satisfaction • Providing reports to key stakeholders on product performance

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re forming a new AI & Data Operations team and hiring our first AI Platform Engineer to bring safe, practical AI operations into our EdTech products. You’ll work end‑to‑end across the AI stack – from infrastructure to shipping features. This is a hands‑on role. You’ll partner closely with engineering leadership and product teams to ship AI features that help schools, while ensuring reliability, safety, and cost control. What You’ll Do - Build AI‑Powered Product Features - Design and ship agentic AI products to optimize and automate school operations - Build systems using school‑specific data and institutional knowledge; develop prompt strategies and reusable libraries - Integrate AI capabilities into existing Ruby on Rails applications via APIs and SDKs - Operate, Optimize & Scale LLM Systems - Curate and maintain our AWS AI infrastructure (Bedrock, GuardRails, etc.) - Evaluate and select models, benchmark quality, latency, and cost on school operations tasks - Optimize prompts, caching, batching, and workflows to improve performance and reduce spend - Monitor token usage and implement budgeting and cost controls; run A/B tests across approaches - Safety, Guardrails & Compliance - Design guardrails to prevent hallucinations, bias, and inappropriate outputs - Detect and redact PII in AI inputs/outputs; establish safety protocols for K–12 - Build feedback loops for human review and continuous improvement - Observability & Evaluation - Instrument AI systems with logging, metrics, and tracing; build dashboards for quality, latency, cost, and safety - Create evaluation datasets and automated testing pipelines, incorporate user feedback into ongoing improvements - Research & Enablement - Stay current with the AI/ML ecosystem; prototype new models, techniques, and tools - Evaluate and select AI hosting solutions (AWS AgentCore, Cloudflare Agents, etc.) Qualifications - 5+ years of software engineering experience, including hands‑on LLM work - Experience building and operating production AI applications - Strong understanding of prompt engineering LLM best practices - Comfortable working with APIs in a polyglot environment Requirements - Strongly Preferred - Applied AI skills - Ruby on Rails experience (or willingness to learn quickly) or similar frameworks - Experience in regulated or safety‑sensitive domains - Personal Qualities - Pragmatic, production‑minded, and security focused - Curious and fast‑learning; clear communicator with technical and non‑technical audiences - Mission‑driven about improving school operations Benefits - 25 days holiday, plus public holidays - 4% matched pension contributions - Payroll Giving - Private medical - Discounted Gym Membership - Cycle Scheme - Enhanced Sick pay - Enhanced Maternity, Paternity, Adoption and shared Paternity Leave pay - Employee Assistance Program

Role Description We are looking for an AI Engineer to help design, build, and deploy intelligent systems that power the next generation of our products. In this role, you will work at the intersection of machine learning, data, and software engineering, developing AI-driven features that deliver real value to our customers. You will collaborate closely with product, engineering, and data teams to transform ideas into scalable AI solutions—from experimentation and model development to production deployment. This is an opportunity to work with modern AI technologies and help shape how artificial intelligence is integrated across our platform. What You’ll Do - Design, develop, and deploy machine learning and AI models into production environments - Build and maintain AI-powered features and services across our products - Work with large datasets to train, evaluate, and improve model performance - Implement and optimize LLM-based applications, NLP models, or recommendation systems - Collaborate with product and engineering teams to translate business problems into AI solutions - Develop scalable pipelines for data processing, model training, and inference - Monitor model performance and continuously improve accuracy, efficiency, and reliability - Stay up to date with the latest advancements in AI, machine learning, and generative AI Qualifications - 3+ years of experience in AI, machine learning, or data science engineering - Strong programming skills in Python - Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar - Familiarity with LLMs, NLP, or generative AI technologies - Experience deploying models in production environments - Knowledge of data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure) - Strong problem-solving skills and ability to translate business needs into technical solutions - Excellent communication and collaboration skills

• Define and execute the enterprise AI engineering strategy aligned to Sedgwick’s claims, risk, and client service transformation goals. • Lead the architecture, development, and deployment of applied AI and agentic AI solutions across global operations. • Build and scale a high-performing AI engineering organization, including Applied AI Engineers, Agentic AI Engineers, ML Engineers, and AI Platform teams. • Establish standards for LLM integration, retrieval-augmented generation (RAG), multi-agent orchestration, workflow automation, and model lifecycle management. • Oversee the design of autonomous and semi-autonomous AI systems that support claims intake, coverage analysis, fraud detection, compliance review, and operational optimization. • Drive enterprise architecture decisions for AI platforms, including model hosting, orchestration layers, vector databases, evaluation frameworks, and observability tooling. • Ensure scalable, secure integration of AI systems with claims platforms, policy systems, document repositories, and enterprise data environments. • Define and enforce engineering best practices for prompt engineering, tool use, memory design, guardrails, structured outputs, and deterministic validation. • Establish governance frameworks for Responsible AI, explainability, auditability, and regulatory compliance. • Partner with cybersecurity, legal, compliance, and data governance teams to mitigate AI-related operational and regulatory risks. • Develop robust evaluation and benchmarking methodologies to measure reasoning quality, workflow completion rates, hallucination risk, and system reliability. • Oversee AI production operations including performance monitoring, drift detection, cost management, and service reliability. • Translate executive-level business priorities into scalable AI platform capabilities and delivery roadmaps. • Collaborate with Claims Operations, IT, Digital, and Product teams to identify high-impact AI use cases and drive measurable ROI. • Lead build-versus-buy decisions for AI tooling, foundation models, orchestration frameworks, and enterprise integrations. • Manage vendor relationships related to AI platforms, cloud providers, and model providers. • Drive adoption of AI solutions across adjusters, supervisors, and client-facing teams through strong partnership and change management alignment. • Mentor engineering leaders and establish a strong culture of technical excellence, innovation, and operational discipline. • Present AI strategy, progress, risks, and outcomes to executive leadership and board-level stakeholders. • Develop long-term AI capability roadmaps that position Sedgwick as a technology leader in claims and risk management.