обновлено 9 часов назад
AI Technology Consultant (Healthcare AI)
150 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Technology Consultant (Healthcare AI): Designing and delivering enterprise AI architectures, ML pipelines, GenAI/LLM systems, and data platforms with an accent on scalability, security, governance, and healthcare interoperability. Focus on leading discovery, architecture reviews, client workshops, responsible AI practices, and production implementation across EST or CST time zones.
Location: USA; remote or office-based, with an ideal candidate location in the EST or CST time zones
Salary: $150,000–$220,000 annually base salary
Company
is a digital consultancy providing enterprise technology and AI advisory and delivery services.
What you will do
- Lead discovery and design of enterprise AI architectures aligned with business strategy and measurable client value.
- Define AI strategies, roadmaps, governance models, and reference architectures.
- Design and oversee ML pipelines, GenAI/LLM systems including RAG and agents, and data platforms.
- Architect secure, production-ready AI solutions across data, model, application, and integration layers.
- Lead and mentor cross-functional teams, conduct architecture reviews, and enforce engineering standards.
- Run client workshops and discovery sessions, communicate with executive stakeholders, support presales solutioning, and develop reusable AI accelerators.
Requirements
- Deep expertise in machine learning, deep learning, Generative AI/LLMs, RAG, prompt engineering, orchestration, data architectures, and distributed systems.
- Proficiency in Python, TensorFlow, and PyTorch, with hands-on experience in Azure AI, Vertex AI, or AWS SageMaker.
- Experience with MLOps/LLMOps, CI/CD, monitoring, governance, APIs, microservices, and big data platforms.
- Strong solution architecture experience delivering scalable, production-grade AI systems and connecting technical capabilities to measurable business outcomes.
- Experience leading client workshops, roadmap development, executive communication, and technical storytelling.
- Healthcare domain knowledge covering FHIR, HL7, EDI, EHR/EMR, RCM, clinical decision support, claims automation, and patient engagement.
Nice to have
- Experience in regulated environments such as healthcare or finance.
- Knowledge of HIPAA, GDPR, responsible AI, model lifecycle management, and monitoring for drift, bias, and model performance.
Culture & Benefits
- Leadership responsibility for hiring, onboarding, coaching, inclusion, priorities, results, and organizational change.
- Business leadership focused on client value, business and market understanding, financial insight, global collaboration, and continuous improvement.
- Remote or office-based work options.
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