Lead AI Architect (Generative AI)

TL;DR

Lead AI Architect (Generative AI): Designing the end-to-end ecosystem for enterprise AI solutions with an accent on scalability, security, and seamless integration with existing infrastructure. Focus on architecting complex data pipelines, LLM orchestration, and MLOps guardrails to ensure compliance and safety in a high-throughput environment.

Location: Must be based in or able to work from Pennsylvania

Company

hirify.global is a technology-driven organization focused on delivering innovative enterprise solutions within the healthcare sector.

What you will do

• Define the high-level architecture for AI systems, including data pipelines, model storage, and inference engines.
• Select and evaluate the optimal tech stack, including LLMs, vector databases, and orchestration frameworks.
• Establish MLOps best practices for coding standards, model versioning, and deployment strategies.
• Design scalable systems capable of handling massive data throughput and low-latency inference.
• Architect Human-in-the-loop systems and guardrails to ensure data privacy, compliance (GDPR/CCPA), and AI safety.
• Act as a technical liaison between Data Science, DevOps, and Product teams to align the AI roadmap.

Requirements

• Must be based in Pennsylvania
• 5+ years of experience in software engineering or data science, with at least 3 years in an architectural role.
• Expert-level knowledge of cloud platforms (AWS, Azure, or GCP).
• Deep understanding of Generative AI, Transformer architectures, RAG, and fine-tuning methodologies.
• Proficiency in distributed systems, microservices architecture, API design, and Infrastructure as Code (IaC).
• Strong communication skills with the ability to present complex architectural decisions to the C-suite.

Nice to have

• Experience in migrating legacy systems to AI-augmented workflows.
• Industry certifications such as Enterprise Architect (SCEA) or Project Management.
• Experience in the health insurance industry.

Culture & Benefits

• Strategic leadership role with significant impact on enterprise AI direction.
• Opportunity to mentor senior engineers and influence technical strategy.
• Focus on long-term architectural planning and innovation.
• Commitment to ethical AI standards and data security compliance.