Lead Gen AI

Job Title: Lead GenAI
Location: Remote
Any valid visa(NO GC )
Need 12+ years of experience
Job Description: Lead GenAI Developer (GCP / Vertex AI / Gemini)

Role Overview:
The Lead GenAI Developer will be responsible for architecting, designing, and guiding the delivery of GenAI solutions on Google Cloud Platform for a healthcare payer client.
This role involves leading technical design, driving development best practices, reviewing solution architectures, and mentoring a team of developers. The ideal candidate has deep hands‑on experience with Vertex AI, Gemini models, GenAI SDKs, and building scalable enterprise-grade AI solutions within regulated environments.

Key Responsibilities
·     Lead the end-to-end design and development of GenAI solutions using GCP services, Vertex AI, Gemini, and related GenAI tools.
·     Own solution architecture, model integration patterns, and technical strategy for AI initiatives.
·     Work closely with client stakeholders, data science teams, and cloud engineering teams to translate requirements into scalable GenAI implementations.
·     Provide technical leadership and mentorship to AI developers and engineers on the team.
·     Build, fine-tune, evaluate, and deploy LLMs and multimodal models using Vertex AI and Gemini APIs.
·     Develop secure, compliant data and model pipelines adhering to healthcare payer regulatory requirements (HIPAA, PHI/PII protection).
·     Optimize model performance, cost, scalability, and reliability.
·     Review and enhance prompt engineering strategies, RAG pipelines, and model orchestration workflows. Ensure code quality, automation, CI/CD integration, and operational excellence for GenAI services.
·     Stay current on Google Cloud AI advances and guide their adoption.
Required Skills & Experience
·     7+ years of software development experience, with at least 3+ years in AI/ML or GenAI development.
·     Strong hands-on experience with Google Cloud Platform, especially Vertex AI, BigQuery, Cloud Storage, Cloud Functions, and Cloud Run.
·     Expertise with Gemini models, Vertex AI Model Garden, and GenAI SDKs.
·     Proven experience designing and deploying RAG (Retrieval-Augmented Generation) or similar hybrid architectures.
·     Proficiency in Python, REST API development, and containerized workloads.
·     Experience leading technical teams and overseeing end-to-end solution delivery.
·     Familiarity with healthcare payer domain data (claims, prior auth, clinical data) is preferred.
·     Strong understanding of data governance, model security, and compliance requirements for healthcare.

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