Build and scale production-grade AI solutions on AWS for insurance platforms
Compensation
$120,000 - $150,000 annual base salary depending on experience, qualifications, and geographic location $130,000 - $170,000 annual base salary depending on experience, qualifications, and geographic location in CA, CT, MA, NJ, NY, and PA
Responsibilities
Build AI systems
Design and implement end-to-end AI/ML solutions including LLM-based applications
Build RAG pipelines using vector databases and enterprise data sources
Build machine learning models that automate their training, validation, monitoring, and retraining
Develop APIs and services to operationalize AI capabilities across the organization
Provide day‑to‑day technical support for SharePoint Online and related Microsoft 365 collaboration services.
Responsibilities
Triage, investigate, and resolve SharePoint incidents and service requests within agreed service levels.
Troubleshoot site access, permissions, external sharing, document library behavior, search, version history, and OneDrive sync issues.
Fulfill approved requests for site provisioning, access changes, and library or list configuration in line with internal governance policies.
Diagnose issues involving SharePoint, Microsoft Teams, and OneDrive and escalates complex incidents to the appropriate platform, identity, or security team.
Maintain accurate ticket records and create knowledge base articles, troubleshooting guides, and support procedures.
Role involves making partner releases predictable, well communicated, and operationally reliable by combining technical release management, customer-facing coordination, escalation leadership, and hands-on development of tools.
Compensation
The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$125,000-175,000/year.
Responsibilities
Own release schedules for partner-facing APIs, events, device capabilities, integrations, and related platform changes.
Coordinate release readiness across engineering, QA, security, operations, product, and partner teams.
Define change-management processes covering versioning, compatibility, deprecation, partner communications, sandbox validation, and production rollout.
Create release notes, changelogs, readiness checklists, migration guidance, and other communications.
Manage partner testing and readiness activities before production deployment.
Lead and enforce Configuration and Data Management (CADM) processes across complex, multi-stakeholder space and defense programs.
Responsibilities
Define, implement, and maintain configuration management plans aligned with ECSS and AS9100 standards.
Control and manage Configuration Items across hardware, software, documentation, and operational systems.
Establish and maintain configuration baselines across project phases.
Lead change control processes, including organizing and chairing Configuration Control Boards, managing Engineering Change Requests, and ensuring traceability of changes.
Coordinate with engineering, quality, and project teams to ensure cross-functional adherence to configuration policies.
Requirements
Bachelor's or Master's degree in Engineering, Information Management, Aerospace, or a related field
Lead the technical approach for complex or ambiguous problems that affect multiple products, from investigation through release, shaping shared UI architecture and engineering foundations used across HPE products.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 147,000 - 279,000 in Colorado
Responsibilities
Lead the technical approach for complex or ambiguous problems that affect multiple products, from investigation through release.
Help shape technical direction for accessible React and TypeScript components, reusable APIs, design tokens, themes, and shared UI foundations.
Evaluate requests and contributions for enterprise reuse and architectural fit, providing technical recommendations.
Help establish clear acceptance criteria and guide contributors through review and remediation to meet accessibility, implementation, and maintainability expectations.
Lead quality outcomes for significant component initiatives using automated component testing, accessibility validation, and visual regression testing.
Requirements
Bachelor's or master's degree in computer science, software engineering, human-computer interaction, or a related field
Lead technical design and engineering of HPE Design System components, APIs, and tooling across multiple products, ensuring accessibility, quality, and maintainability.
Compensation
United States of America: Annual Salary USD 147,000 - 279,000 in Colorado
Responsibilities
Lead technical approach for complex problems across products
Shape technical direction for accessible React and TypeScript components
Evaluate enterprise reuse and architectural fit
Guide contributors through review and remediation
Lead quality outcomes using automated testing and visual regression
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Human-Computer Interaction, or related field
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS, integrating AI/ML solutions and managing LLMOps workflows.
Responsibilities
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
Collaborate with cross-functional teams to define project scope, design patterns, and technical strategy.
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS, integrating AI/ML solutions and deploying scalable cloud architectures on AWS.
Responsibilities
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
Collaborate with cross-functional teams (product, data, AI, and architecture) to define project scope, design patterns, and technical strategy.
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