Provide first‑level technical support for hardware, software, and IT‑related service issues in the healthcare industry.
Responsibilities
First 2 pages free · sign up to see every job
Experience administering and supporting Anthropic Claude Enterprise, including configuration and management of enterprise features such as user provisioning, role‑based access controls (RBAC), permissions, security settings, connectors, integrations, knowledge sources, and plugins.
Design, build, and improve AI agent evaluation systems within NVIDIA’s NeMo Platform.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces
Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions
Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets
Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows
Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities
Requirements
BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
Nice to have: evaluation workflows for heterogeneous agents
Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces; build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions; partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows; provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement Python-first APIs, SDK workflows, and plugin interfaces
Build reusable systems for observing behavior, measuring progress, detecting regressions
Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets
Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities
Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities
Requirements
BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
Nice to have: Experience building, deploying, and iterating on production agentic AI systems where evaluation was used to measure and improve real product outcomes
Nice to have: Experience designing evaluation workflows for heterogeneous agents, including tool-using agents, RAG agents, workflow agents, coding agents, or long-running autonomous systems
Oracle Identity & Access Management Engineer
General Dynamics Information Technology · Posted Nov 5, 2026
Senior Architect responsible for designing and implementing Claude AI solutions in enterprise environments, ensuring security, compliance, and integration across cloud platforms.
Responsibilities
Design target architecture for Claude rollouts in enterprise environments
Translate security and compliance requirements into technical solutions
Conceive integration and agent architectures
Plan rollouts with adoption lead
Estimate effort and build prototypes
Requirements
Master's degree in Economics, Computer Science, Engineering or related field
Develop and customize Microsoft Dynamics 365 CRM and Dataverse solutions, build plugins, JavaScript customizations, Power Automate flows, and REST APIs, and integrate with Business Central and other platforms.
Responsibilities
Develop and customize Dynamics 365 CRM / Dataverse tables, forms, views, dashboards, business rules and business process flows
Build and maintain C# plugins, JavaScript customizations, Power Automate flows and CRM-side business logic
Implement sales workflows for leads, opportunities, bookings, units, availability and pricing
Enhance leasing contracts, renewals, transfers, amendments, cancellations and related approvals
Develop collection processes covering payment plans, installments, cheques, rescheduling and payment status
Requirements
Bachelor's degree in Computer Science, Information Technology or related discipline
Nice to have: Experience integrating CRM with Business Central
Nice to have: Experience integrating CRM with third-party portals or mobile applications
Lead design, integration, and API strategy for enterprise mortgage technology solutions.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Own the design integration and API strategy (REST/GraphQL/gRPC, event-driven) with clear versioning, security, and lifecycle standards.
Define reusable integration patterns and canonical data contracts aligned to MISMO to ensure consistency and reuse.
Lead design reviews and maintain reference architectures and ADRs across domains, guiding strategic design decisions.
Ensure designs meet non-functional requirements for security, resiliency, performance, scalability, cost, and operability.
Design and oversee Encompass LOS integrations and customizations using Developer Connect, SDK, and plugins.
Lead technical authority for Power Platform and D365 projects, designing, implementing, and guiding delivery of scalable Microsoft business application solutions.
Responsibilities
Act as technical authority across project delivery
Lead design and implementation of scalable, secure and maintainable Microsoft business application solutions
Combine hands‑on technical capability with leadership responsibility
Shape solutions, guide development teams and interface directly with customers
Contribute to complex solution design, integration architecture and troubleshooting
Lead and optimize CI/CD practices for Dynamics 365 Customer Service and Power Platform solutions, managing deployments, troubleshooting, and governance for a federal client.
Compensation
Salary From: $125,000 per year
Responsibilities
Support deployments and implementations to current MS Dynamics systems
Lead and optimize CI/CD practices for D365 Customer Service, Power Platform solutions, and supporting Azure components
Manage solution build, packaging, and deployment across development, test, UAT, and production environments using Azure DevOps and ALM best practices
Validate environment configurations, solution layering, patching strategies, and dependency impacts across D365 apps, Dataverse, plugins, PCF controls, and integrations
Confirm version alignment, connection references, environment variables, and API dependencies to ensure stable, consistent deployments
Requirements
Bachelor’s degree in computer science, Information Technology, Engineering, or equivalent experience
Nice to have: Experience integrating evaluation capabilities across multiple products, runtimes, or internal platforms, especially through Python SDKs, plugins, or shared developer tooling
Nice to have: Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency