Job Description :
Role 1 - Remote - Only GC -Citizen AWS Agentic AI Engineer / Developer (Agentic AI Implementation)Responsibilities- Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation Build and integrate LLM-powered agents using AWS Bedrock + open-source frameworks (LangChain, AutoGen- Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication Integrate AI agents with external systems through secure APIs Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred- Collaborate with data engineers for PHI/PII-safe ingestion pipelines Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance.Qualifications- Bachelor s in Computer Science, Engineering, or related field 3 6 years in AI/ML engineering with hands-on LLM/agentic AI development Strong coding skills in Python/TypeScript and experience with LangChain, LlamaIndex, or AutoGen Familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend Medical- Experience in API integrations and event-driven architectures Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred- Problem-solving mindset with ability to experiment and iterate quickly. Role 2 - Remote - Only GC -Citizen Job DescriptionWe are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML technologies, with specific expertise in Amazon Bedrock and SageMaker. This role requires proficiency in working with multiple large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), governance, and model auditability. Key Responsibilities:Design, develop, and deploy machine learning models using Amazon Bedrock and SageMaker.Implement and optimize large language models (LLMs) for various applications.Develop and refine prompt engineering techniques to enhance model performance.Utilize retrieval-augmented generation (RAG) to improve information retrieval and generation processes.Ensure governance and compliance of AI/ML models, including model auditability and ethical considerations.Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.Stay updated with the latest advancements in AI/ML technologies and apply them to ongoing projects.Experience leveraging the Model Context Protocol. What You ll Need to Make Your ImpactBachelor''s or Master''s degree in Computer Science, Engineering, or a related field.Proven experience with Amazon Bedrock and SageMakerStrong understanding of large language models (LLMs) and their applications.Expertise in prompt engineering and retrieval-augmented generation (RAGKnowledge of AI/ML governance and model auditability practices.Proficiency in programming languages Python or RExcellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.Experience with other AI/ML platforms and tool is a plus including DataBricks, Salesforce Agentforce or Einstein.Experience in Healthcare and Healthcare data is a plus