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18 часов назад

Associate Director, Enterprise AI Architect

153 600 - 230 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Director, Enterprise AI Architect (AI/ML Architecture): Defining and evolving enterprise AI architecture strategy, standards, governance, and scalable solution designs for a global biopharma company with an accent on responsible AI, cloud ML infrastructure, and regulatory compliance. Focus on designing end-to-end AI/ML architectures, evaluating Generative AI platforms, establishing MLOps guardrails, and solving integration, security, and model risk challenges.

Location: Remote for US-based candidates only; Philadelphia, PA

Salary: $153,600–$230,400 annual base pay, plus potential bonus, incentive compensation, equity, and benefits.

Company

hirify.global is a global biopharmaceutical company developing medicines for serious diseases, with a focus on oncology, neuroscience, sleep disorders, and epilepsy.

What you will do

  • Define and continuously improve enterprise AI/ML architecture strategy, technology standards, operating models, governance frameworks, and policies.
  • Establish reference architectures and architectural guardrails for scalable, secure, compliant, and maintainable AI/ML solutions.
  • Review end-to-end AI/ML designs covering data ingestion, model development, deployment, monitoring, and MLOps.
  • Evaluate Generative AI solutions, including LLM, RAG, fine-tuning, agentic, evaluation, and guardrail approaches.
  • Perform technical due diligence on AI vendors and platforms, assessing architecture viability, data handling, security, transparency, and operational maturity.
  • Advise senior technical and business stakeholders on AI use-case feasibility, scalability, reliability, technical debt, and responsible adoption.

Requirements

  • Must be based in the United States.
  • Bachelor’s degree or equivalent practical experience in a quantitative or technical field.
  • 5–7 years of relevant experience in AI, machine learning, or data science; 10+ years preferred.
  • Deep knowledge of AI/ML system architecture, data pipelines, model deployment, cloud-based ML infrastructure, and enterprise integration.
  • Proficiency with MLOps practices including CI/CD, model versioning, experiment tracking, and monitoring.
  • Experience with Python or R, ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and at least one major cloud platform; AWS or GCP preferred.

Nice to have

  • Advanced degree or equivalent experience.
  • Experience in pharmaceutical, life sciences, or another regulated industry.
  • Experience evaluating and integrating third-party AI/ML solutions and vendor platforms.
  • Knowledge of AI governance, model risk management, responsible AI principles, and emerging AI regulation.

Culture & Benefits

  • Patient-focused, science-driven work supporting life-changing medicines.
  • Remote work arrangement for US-based candidates.
  • Medical, dental, and vision insurance.
  • 401(k) retirement savings plan and flexible paid vacation.
  • Potential annual cash bonus or incentive compensation and eligibility for equity grants.

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