• Direct medium to large scale complex projects to ensure internal and external expectations are met for scope, budget, schedule and quality • Review and interpret technical engineering documentation, including but not limited to: offsite consequence analyses (OCAs), process safety information; process hazard analyses (PHAs); operating procedures; training records; mechanical integrity programmatic records; management of change (MOC) and pre-startup safety review (PSSR) packages; compliance audits; incident investigations; employee participation plans; hot work permits; contractor management plans; and emergency response programs and procedures • Lead and support on-site compliance evaluations and inspections • Engage comfortable with personnel at facilities in the following industry types: petroleum refineries, chemicals manufacturing facilities, anhydrous ammonia refrigeration facilities, flammable storage facilities, natural gas processing plants, and chemical storage warehouses • Manage and train junior and mid-level staff to facilitate growth • Collaborate and communicate effectively with multiple clients and internal stakeholders regarding project progress and budget status • Occasional travel to investigation sites (up to 25%)

• Understand program requirements and Statements of Work (SOWs) to determine program component environmental / characteristic application requirements • Provide technology insertion and parts selection/standardization guidance while adhering to business, component parametric, and environmental application constraints • Generate and revise component drawings and associated verification data packages • Perform alternate part investigations and generate comparison matrices showing the differences and similarities of the parts • Interface with multiple internal stakeholders and external suppliers/manufacturers to develop component risk and verification delineation • Facilitate component selection and libraries application through the coordination and generation of the program Bill of Material (BOM) in a collaboration toolset • Present component standardization, design library, obsolescence management and termination finish risk results in support of design reviews for a program

• Engage directly with business stakeholders, VPs, clinical leads, operations owners to surface ambiguous, high-value problems and translate them into buildable AI opportunities • Ask sharp questions, challenge assumptions, and define what a minimum viable AI solution looks like before writing a line of code • Map existing processes end-to-end, identify where AI can eliminate friction, reduce cost, or accelerate decisions and communicate your findings in business terms • Build lightweight scoping documents and ROI estimates that align stakeholders and set clear success criteria before development begins • Design and build working AI prototypes within days using Claude and the modern AI development stack • Develop full-stack AI applications spanning LLM orchestration, retrieval-augmented generation (RAG), agentic workflows, REST API integrations, and lightweight front-end interfaces • Own your technical architecture end-to-end from prompt design to data pipeline to user interface and be able to explain every design decision to both engineering and business audiences • Iterate based on real user feedback in the field ship early, learn fast, and drive toward production-grade quality with intention and speed • Partner with Brillio's AI Governance team to validate, harden, and evolve prototypes into production-grade, enterprise-ready systems. • Apply responsible AI principles bias review, explainability, HIPAA compliance, audit logging, and model monitoring as a standard part of every build. • Document solutions clearly and completely so they can be handed off, scaled, and maintained by broader engineering teams without rework. • Contribute to Brillio's reusable AI accelerator library turning client-specific solutions into patterns that can be deployed across engagements. • Participate in all client business rhythm meetings sprint reviews, program steering committees, and executive status updates • Demonstrate progress through live demos and working software not slide decks alone • Communicate technical concepts clearly to non-technical business leaders and build the trust required to move from pilot to scale • Surface blockers, dependencies, and risks early with clear, solutions-oriented framing • Develop genuine expertise in your client's business, their workflows, their data, their competitive pressures, and their regulatory environment • Understand healthcare operations deeply enough to generate your own problem hypotheses not just respond to inbound requests • Build relationships with business counterparts that go beyond project delivery, becoming a trusted advisor on what AI can and cannot do in their environment • Contribute to internal knowledge sharing bring learnings from client engagements back to Brillio's broader applied AI community

• Monitor inbound abuse signals across platform telemetry, HackerOne reports, support queues, and internal alerting pipelines. • Triage abuse cases end-to-end, assessing severity and blast radius, classifying actor types, and routing to the correct response track. • Own the abuse case queue with clear SLAs to ensure no active threats age out without a definitive decision. • Identify complex patterns across distinct cases that point toward coordinated campaigns or emerging attack techniques. • Lead response efforts for active abuse incidents, coordinating closely with Platform and Infrastructure teams to execute containment actions and drive remediation to closure. • Write clear, timely communications to affected users and internal stakeholders throughout the lifecycle of an incident. • Conduct thorough post-incident reviews, feeding findings back into detection rules, runbooks, and platform controls. • Maintain and improve incident runbooks to ensure response execution is consistent, scalable, and reproducible across time zones. • Build and tune detection logic against platform telemetry and Supabase-native data sources, including Postgres query patterns, Edge Function invocations, auth anomalies, and storage abuse. • Automate repetitive triage and response actions to aggressively reduce manual toil, increase response speed, and improve consistency. • Contribute to the Anti-Abuse Platform architecture, optimizing the blocklist schema, the remediation action ladder (L1–L4), and enforcement pipelines. • Instrument metrics for detection coverage and alert fidelity, closely tracking false positive rates, detection latency, and remediation time. • Maintain and improve the abuse operations toolchain, including case management systems, escalation workflows, and engineering reporting dashboards. • Partner with Core Engineering to design and implement platform-layer controls that eliminate abuse vectors by design rather than by reactive response. • Support Supabase for Platforms (SfP) customers by operationalizing the centralized Anti-Abuse platform for enterprise-grade use cases.