WebMD

2 weeks ago

Principal Architect, AI-Native Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Serve as the lead technical authority for WebMD Ignite’s AI-native application architecture. Define architectural patterns, standards, and reference implementations for backend microservices, APIs, streaming/event-driven systems, and data engineering pipelines. Build high-performance AI data platforms (vector/graph stores, caching, semantic retrieval) and establish guardrails for LLM integration, RAG, multi-model orchestration, and agentic workflows. Partner across engineering, product, data, and DevOps, while ensuring scalability, security, privacy, and HIPAA/PHI compliance.

Location: Newark

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own application architecture patterns, standards, and reference implementations that engineering teams build against.
•Architect complex backend systems, including microservices architectures, APIs, and streaming/event-driven protocols, plus data engineering pipelines.
•Design high-performance AI data platforms for vector stores, graph databases, distributed caching, and semantic retrieval over large corpora.
•Establish AI-native guardrails for LLM integration, RAG, multi-model orchestration, and agentic workflows.
•Conduct architecture reviews to ensure scalability, performance, security, interoperability, and cost, and provide technical mentorship to senior engineers.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Perks:Health InsuranceDentalVisionPaid Leave401kLife InsuranceDisability InsuranceEapCommuter Benefits

Key Requirements

•7+ years of experience in software architecture, backend engineering, or data engineering with senior/principal-level technical leadership.
•Architect complex distributed backend systems using microservices, APIs, and event-driven or streaming patterns.
•Design and operate data platforms for high-volume, high-dimensional AI workloads (vector/graph databases, distributed caching, semantic retrieval).
•Build AI-native or AI-enabled applications, including LLM integration, retrieval-augmented generation, orchestration frameworks, and agentic systems.
•Demonstrated understanding of cloud architecture across AWS, Azure, or GCP and healthcare data security/privacy/compliance (including HIPAA and PHI handling).

Experience:7+ yearsHealthcareRegulated dataAI-native applicationsBackend systemsData engineering

Skills:Technical mentorshipCommunicationArchitecture fluency

Tech Stack:MicroservicesAPIsStreamingEvent-drivenData engineeringVector databasesGraph databasesDistributed cachingRetrieval-augmented generationLLM integrationMulti-model orchestrationAgentic workflowsAWSAzureGCP

Company Brief

WebMD

Operates a leading online health information and health services platform offering medical news, symptom checkers, drug information, and physician directory services to consumers and healthcare professionals.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: New York, United States

Founded: 1996

Website LinkedIn

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WebMD

2 weeks ago

Principal Architect, AI-Native Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Newark

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own application architecture patterns, standards, and reference implementations that engineering teams build against.
•Architect complex backend systems, including microservices architectures, APIs, and streaming/event-driven protocols, plus data engineering pipelines.
•Design high-performance AI data platforms for vector stores, graph databases, distributed caching, and semantic retrieval over large corpora.
•Establish AI-native guardrails for LLM integration, RAG, multi-model orchestration, and agentic workflows.
•Conduct architecture reviews to ensure scalability, performance, security, interoperability, and cost, and provide technical mentorship to senior engineers.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Perks:Health InsuranceDentalVisionPaid Leave401kLife InsuranceDisability InsuranceEapCommuter Benefits

Key Requirements

•7+ years of experience in software architecture, backend engineering, or data engineering with senior/principal-level technical leadership.
•Architect complex distributed backend systems using microservices, APIs, and event-driven or streaming patterns.
•Design and operate data platforms for high-volume, high-dimensional AI workloads (vector/graph databases, distributed caching, semantic retrieval).
•Build AI-native or AI-enabled applications, including LLM integration, retrieval-augmented generation, orchestration frameworks, and agentic systems.
•Demonstrated understanding of cloud architecture across AWS, Azure, or GCP and healthcare data security/privacy/compliance (including HIPAA and PHI handling).

Experience:7+ yearsHealthcareRegulated dataAI-native applicationsBackend systemsData engineering

Skills:Technical mentorshipCommunicationArchitecture fluency

Company Brief

WebMD

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: New York, United States

Founded: 1996

Website LinkedIn