Senior individual‑contributor responsible for technical mastery, solutioning, and informal leadership within the Imaging Applications Platform at Stanford Health Care.
Compensation
Base Pay Scale: Generally starting at $74.73 - $99.04 per hour
Responsibilities
Provide deep technical expertise across imaging acquisition and data management
Evaluate build‑vs‑buy and integration trade‑offs for clinical and research applications
Ensure interoperability between Epic and imaging platforms
Lead solution design and technical architecture for complex projects
Mentor analysts and provide informal leadership
Requirements
Bachelor's degree in Information Systems, Computer Science, Health Informatics, Health Management, or related
Associates degree in a clinical field with 3-5 years clinical experience accepted
Lead Communications and Networking Command and Control (C2) Engineer to serve in a Deputy Trailboss capacity for Army Next Generation Command and Control (NGC2), shaping and delivering interoperable capabilities responsive to operational-unit needs.
Compensation
$147,200 - $184,000 - $220,800 Annual
Responsibilities
Serve as a senior technical integrator and NGC2 Deputy Trailboss, shaping priorities, coordinating execution, and driving delivery of integrated C2 capabilities across acquisition stakeholders, operational units, and industry partners.
Lead end-to-end architectures spanning C2 applications, data layers, tactical IP transport, resilient communications, and cloud & edge compute infrastructure to satisfy Army mission needs, including in disconnected, degraded, intermittent, or limited-bandwidth (DDIL) environments.
Develop and connect operational mission threads, technical threads, system-of-systems designs, requirements, and interface assumptions to measurable operational outcomes and testable technical objectives.
Evaluate cross-layer architecture tradeoffs involving routing, bandwidth, latency, reliability, cybersecurity, interoperability, data exchange, synchronization, and placement of workloads at the edge versus in the cloud.
Organize and participate in laboratory integration, technical demonstrations, operational exercises, and iterative fielding events; coordinate root-cause analysis, integration-risk resolution, and performance assessment across vendor solutions.
Lead the integration of electrical and power systems into data center reference designs, focusing on high‑voltage DC architectures and ensuring interoperability and resilience.
Compensation
$95,700.00 - $199,300.00
Responsibilities
Lead the integration of electrical and power systems into our data center reference designs
Lead the end‑to‑end design of electrical power systems for data center projects
Provide technical expertise on power distribution, backup power systems and power monitoring
Ensure electrical integrity and interoperability of integrated systems
Address complex integration challenges and mitigate arc flash hazards
Requirements
Bachelor's or Master's degree in Electrical Engineering
Lead the development, integration, and productization of high-performance interface solutions for FPGA products.
Responsibilities
Lead architecture, RTL development, integration, verification, and productization of PCIe, Ethernet, USB, MIPI, SerDes, and related interface subsystems.
Own subsystem requirements and dependencies across digital logic, PHY/PMA, soft IP, firmware, FPGA software tools, package, platform, and validation.
Drive structured root-cause analysis for complex pre-silicon, post-silicon, software-interaction, interoperability, and customer-reported issues.
Work with software and firmware teams to define configuration, feature enablement, diagnostic, and user-flow requirements.
Drive technical engagement with third-party IP suppliers and technology partners for digital, PHY, and mixed-signal IP.
Requirements
Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related discipline.
Lead the adoption, implementation, and growth of Vantive's digital solutions across Italy.
Compensation
The minimum annual base salary for this position is 64.000Euro. Your starting salary may be higher, depending on factors such as your skills, experience, qualifications, and the unique perspective you would bring to the role.
Responsibilities
Lead the implementation, deployment, and adoption of Vantive's digital solutions portfolio
Act as the primary customer-facing expert for digital solutions, engaging with healthcare professionals, hospital management, and IT stakeholders
Support Sales teams in promoting digital solutions and demonstrating their clinical, operational, and economic value to customers
Drive customer engagement activities throughout the entire lifecycle, from opportunity identification through implementation and long-term adoption
Take ownership of ongoing digital projects, ensuring successful execution, stakeholder alignment, and achievement of business objectives
Requirements
Bachelor's degree in Business, Information Technology, Engineering, Healthcare Management, Biomedical Engineering, or a related field
Senior executive leadership role to shape and drive enterprise-aligned AI strategy for Immunology R&D and translate that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions.
Senior Strategic Account Manager responsible for developing and executing SMS category contracting strategies, managing relationships with Mobile Network Operators, and driving commercial success in the telecommunications industry.
Responsibilities
Develop and execute SMS category contracting strategies
Leverage MNO relationships to accelerate API readiness
Build and maintain strong relationships with stakeholders
Lead enterprise AI architecture for Australian Government agency, shaping strategy, governance, and secure, scalable solutions.
Compensation
Rates: $140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums.
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
Nice to have: Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment or industry
Lead data strategy, governance, and modernization initiatives for a Department of Defense customer, advising senior Army leaders and guiding implementation across complex programs.
Compensation
The target salary range for this position is $130,000-$195,000.
Responsibilities
Assess organizational data capabilities and mission needs
Develop data strategy and AI strategy roadmaps
Develop governance frameworks for government review
Lead federated data management planning
Guide improvements to data catalogs, metadata, lineage, quality, interoperability, and access controls
The anticipated base pay range for this position is : $204,000.00 - $351,900.00
Responsibilities
Define and maintain the Immunology AI strategy
Lead strategic portfolio planning for Immunology AI
Create an integrated execution model across Immunology and enabling functions
Partner with Immunology scientific and development leaders
Provide technical leadership and informed challenges on AI solution design
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent experience) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific or technical discipline
Nice to have: Experience developing AI strategies, target-state architectures, investment roadmaps and platform or product evaluations that consider feasibility, benefits, cost, risk and public value
Nice to have: Experience progressing AI capabilities beyond proof of concept into secure, monitored and scalable production services