2 months ago
Newark, NJ, USAStaff+
Base Salary
$150k - $200k/yr
Responsibilities
- Define and own application architecture patterns, standards, and reference implementations across the organization.
- Architect complex backend systems using microservices, APIs, streaming, event-driven protocols, and data engineering pipelines.
- Design high-performance AI data platforms using vector stores, graph databases, distributed caching, and semantic retrieval over large corpora.
- Establish patterns and guardrails for LLM integration, retrieval-augmented generation, multi-model orchestration, and agentic workflows.
- Conduct architecture reviews and ensure designs meet scalability, performance, security, interoperability, cost, privacy, and compliance requirements across cloud and on-premises environments.
- Set standards for AI-ready APIs, data services, and application frameworks.
- Partner with engineering, product, data, and DevOps leaders to align technical direction with business outcomes and delivery timelines.
- Ensure architectures address HIPAA, protected health information, and other regulated healthcare data requirements.
- Provide technical mentorship to senior engineers and improve organization-wide architecture fluency.
Requirements
- 7+ years of experience in software architecture, backend engineering, or data engineering, including senior or principal-level technical leadership.
- Experience architecting complex distributed backend systems using microservices, APIs, and event-driven or streaming patterns.
- Hands-on experience designing and operating high-volume, high-dimensional data platforms with vector databases, graph databases, distributed caching, and semantic retrieval.
- Practical experience building AI-native or AI-enabled applications with LLM integration, retrieval-augmented generation, orchestration frameworks, and agentic systems.
- Strong command of AWS, Azure, or GCP and experience operating across cloud and on-premises environments.
- Ability to remain hands-on in code while providing architecture-level leadership.
- Working knowledge of healthcare data security, privacy, compliance, HIPAA, and PHI handling.
- Strong communication skills for translating complex technical concepts to engineering and business audiences.
- Preferred experience in healthcare, health IT, regulated data environments, HITRUST, NIST, modern warehouse or lakehouse platforms, analytical data platforms, developer tooling, and AI-assisted software development workflows.
Benefits
- Health insurance with medical, dental, and vision coverage.
- Paid time off, including vacation, sick leave, and flexible holiday days.
- 401(k) retirement plan with employer matching.
- Life and disability insurance.
- Employee Assistance Program (EAP).
- Commuter and/or transit benefits if applicable.
- Eligibility for benefits may vary by job classification, schedule, work location, and length of employment.
- The position is eligible for a discretionary company bonus based on business results.
Tech Stack
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