Geef vorm aan de toekomst van Dynamics 365 voor marketing, websites en klantdata. Neem eigenaarschap over oplossingen van ontwerp tot deployment, monitoring en productie-support.
Compensation
een bruto maandsalaris tussen € 5600 en € 7000
Responsibilities
Configureren en uitbreiden van Dynamics 365 Customer Insights – Journeys en Dataverse
Ontwikkelen van schaalbare oplossingen voor segmentatie, eventregistratie, rapportage en gedeelde data
Bouwen en onderhouden van C#/.NET-integraties die Dynamics verbinden met ons core CRM-systeem, Azure SQL en Sitecore via Azure Functions en API’s
Eigenaarschap nemen over cloud delivery en productiekwaliteit met Azure DevOps, Bicep, monitoring en geautomatiseerd testen
Nauw samenwerken met business-, IT-, web-, data-, security- en compliancecollega’s aan solution design, integraties, GDPR en data access
Requirements
Nice to have: Customer Insights – Data
Nice to have: Consent and preference management in Dynamics
Join a newly formed customer-facing engineering team at an early-stage enterprise AI company focused on IT service management and workflow automation. You will build production systems with customers, turning complex operational needs into reliable AI-powered solutions and reusable platform capabilities.
Compensation
Base salary: $200,000 to $325,000 annually. Visa sponsorship is not available.
Responsibilities
Architect and build production-grade systems for customer pilots, translating complex requirements into scalable implementations.
Develop and maintain backend services, APIs, and integrations that extend an AI agent platform.
Build secure, reliable integrations with external systems, with strong observability and maintainability.
Turn customer needs and edge cases into reusable product capabilities.
Own deployments from initial architecture through launch, scaling, and ongoing optimization.
As a Software Engineer II, you will be part of a team responsible for designing, developing, and supporting software solutions that enable clinical data analysis, cardiac research, and digital health applications.
Compensation
Salary ranges for U.S (excl. PR) locations (USD):$100,000.00 - $150,000.00
Responsibilities
Develop, test, and support Python-based software and web applications
Develop and maintain APIs, databases, data pipelines, and system integrations
Troubleshoot, maintain, and improve existing software applications
Support development and deployment of AI/ML and data-driven solutions
Develop tools for clinical, ECG/EGM, waveform, and physiological data
Requirements
Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or related technical discipline
As a Principal AI Learning Engineer, you are an engineer by background and a learning designer by craft. You build the programs, prototypes and proof that turn emerging AI capabilities into everyday practice, primarily for developers who write and ship code, and also for builders across Expedia Group who create with AI agents and tools.
Compensation
The total cash range for this position in Seattle is $231,000.00 to $323,500.00.
Responsibilities
Define the technical learning architecture for AI-native engineering at Expedia Group: role- and level-based pathways for developers (software, machine learning and data engineering) and for builders (product, program, design and business roles), mapped to role expectations.
Build hands-on learning that lives inside the work: reference implementations, starter repositories, guided labs, agent and workflow templates, and sandboxes in the tools engineers already use.
Convert proven patterns from business-unit engagements into reusable, teachable engineering standards, covering prompting, evaluation, AI-assisted code review, agentic delegation and responsible AI guardrails.
Define success measures before launch and connect skill and behavior change to usage and delivery data, reporting impact on capacity, speed and quality without overstating cause and effect.
Develop senior and principal engineers across multiple organizations into multipliers of AI-native practice, mentoring them on design and technical judgment as well as teaching, and scale through champion, lab-leader and train-the-trainer models.
Staff Software Development Engineer to join the Biometrics and Credential team, building the identity graph that represents mappings between entities, attributes, and credentials.
Locations (4)
Mountain View, California, United States
McLean, Virginia, United States
New York City, New York, United States
Tampa, Florida, United States
Compensation
Mountain View, CA and New York, NY Pay Range
$194,000—$253,000 USD
Responsibilities
Design and implement core services and APIs that power the Identity Trust Graph
Build RESTful and GraphQL endpoints that meet strict standards for reliability, latency, and security
Lead the external API and EDI strategy for Amazon Global Logistics, defining product roadmap and driving cross‑functional alignment across transportation services.
Locations (5)
Boston, Massachusetts, United States
Nashville, Tennessee, United States
Bellevue, Washington, United States
Arlington, Virginia, United States
New York, New York, United States
Compensation
USA, MA, Boston - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, TN, Nashville - 143,700.00 - 194,300.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually
Develop robust data models and storage patterns to represent credential provenance and entity-attribute relationships across relational and graph databases (including Neo4j)
Implement graph lifecycle flows — including ingestion, validation, and enrichment
Ensure the security and privacy of identity data through strong authentication, authorization, encryption, and audit practices
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Manager Product EngineerNewLinkedIn Job Wrapping · Paris, France
Software Engineer II, Fullstack (Contact Channels)NewAffirm · Remote, Canada
Principal AI Learning EngineerNewExpedia Group · Seattle, US
Staff Engineer, Biometrics and CredentialsNewID.me · Mountain View, US+3 more
Sr. Manager, Data EngineeringNewCineplex Entertainment · Toronto, Canada
Senior Product Manager – TechnicalNewAmazon · Boston, US+4 more