What are the responsibilities and job description for the AI Engineer and Architect position at RAIS USA?
Job Title: AI Engineer and Architect
Location: Seattle WA
Onsite/Hybrid: 3 days onsite Must
Contract
Experience - 10 years
Must Have – Agentic solutions / AI Agents
Job description
Job Summary We are seeking a highly skilled AI Engineer and Architect with extensive experience in the Payor space of the healthcare industry The ideal candidate will have several years of enterprise architecture skills with a recent emphasis on AI This role requires deep knowledge of processes tools and technology with a focus on Azure AI and OpenAI
Key Responsibilities
- Design develop and implement AI models and algorithms to solve complex healthcare Payor challenges
- Lead the design and implementation of AI solutions ensuring scalability reliability and security
- Collaborate with healthcare professionals to understand their needs and translate them into AI solutions
- Develop and maintain the AI architecture roadmap ensuring alignment with business goals and objectives
- Ensure the accuracy reliability and efficiency of AI models through rigorous testing and validation
- Stay updated with the latest advancements in AI and healthcare incorporating them into the development of AI solutions
- Provide technical leadership and mentorship to AI engineers and other team members
- Evaluate and select appropriate AI tools and technologies to meet project requirements
- Present AI solutions and strategies to stakeholders including healthcare professionals researchers and executives
- Maintain patient confidentiality and adhere to regulations regarding data security
- Assist in training healthcare professionals on how to use AI tools and interpret their outputs
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field
- Extensive experience in the Payor space of the healthcare industry
- Several years of enterprise architecture skills with a recent emphasis on AI
- Deep knowledge of Azure AI and OpenAI
- Proficiency in machine learning deep learning computer vision and natural language processing
- Strong programming skills in languages such as Python R and Java
- Excellent problem solving and analytical skills
- Strong communication and collaboration skills
- Proven experience in leading and mentoring technical teams
