Transformative AI Leadership

4 days ago

Lahore, Punjab, Pakistan beBeeArtificialIntelligence Full time $150,000 - $175,000
Job Title

Lead AI Strategist for Long-Term Care and Digital Health Solutions

iCareManager is seeking a results-driven leader to spearhead the development and execution of AI strategies across organizations in the long-term care and IDD services sector.

  • Key Responsibilities:
  • Design and execute an enterprise-wide AI strategy aligned with company goals, focusing on documentation automation, predictive analytics, intelligent agents, and system optimization.
  • Identify and prioritize use cases for AI integration across Engineering, Product, and Implementation teams.
  • Develop and deploy AI solutions using LLMs, RAG pipelines, agentic frameworks (e.g., LangChain, Devin-style agents), and AI coding assistants.
  • Oversee the evaluation, selection, and implementation of AI tools and platforms (e.g., OpenAI, Claude, Bedrock, SageMaker).
  • Collaborate with software engineers to rapidly prototype, test, and deploy AI features inside EHR and care coordination platforms.
  • Develop metrics and dashboards to track AI model performance, business impact, and usage.
  • Foster a culture of innovation, safe experimentation, and responsible AI adoption.
  • Build external partnerships with AI vendors, research institutions, and innovation hubs.
  • Stay ahead of AI trends and healthcare industry developments to keep our solutions competitive.
Requirements
  • A bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 4+ years of experience in applied AI, ML, or NLP with at least 2 years leading AI-focused initiatives or teams.
  • Hands-on experience with modern AI technologies, including LLMs (e.g., GPT-4, Claude), prompt engineering, and agentic frameworks (LangChain, CrewAI, etc.).
  • Proficient in Python and cloud-based AI platforms such as AWS, Azure, or GCP.
  • A strong track record of turning AI/ML concepts into deployed, usable features in SaaS or production systems.
  • Experience integrating AI with healthcare systems, CRM, ERP, or EHR software preferred.
  • Excellent communication and leadership skills with the ability to influence across departments.
Preferred Qualifications
  • Experience building and deploying RAG pipelines or agent-based AI solutions.
  • Familiarity with DevOps, MLOps, or AI observability frameworks.
  • Background in healthcare, life sciences, or digital health.
  • Understanding of HIPAA, data security, and ethical AI practices in healthcare.
  • Certifications in AI/ML (e.g., Certified AI Engineer, AWS ML Specialty) are a plus.

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