
Cloud-Based AI Strategist
3 days ago
This role involves designing and implementing advanced cloud-based artificial intelligence systems. The successful candidate will have expertise in multi-agent orchestration, cloud-native architecture, and healthcare-compliant AI solutions.
The ideal candidate will possess a deep understanding of AWS services, including Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB. They will be able to define strategies for clinical data workflows, source verification, discrepancy detection, and intelligent query generation.
- Main Responsibilities:
- Architect agentic AI systems using AWS services.
- Design multi-agent orchestration strategies for clinical data workflows.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures.
- Built and integrated solutions using agentic AI frameworks.
- Mentor AI engineers, developers, and DevOps teams on agent-based designs.
Requirements:
- Qualifications:
- Bachelor's/Master's in Computer Science, AI, or related field (PhD a plus).
- 8–12 years in AI/ML engineering, with 3–5 years in cloud-native AI architecture.
- Proven expertise with AWS AI stack: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex.
Preferred Skills:
- Strong knowledge of agentic AI frameworks.
- Hands-on experience in workflow orchestration and multi-agent pipelines.
- Background in healthcare/life sciences AI solutions with understanding of regulatory compliance.
Benefits:
- Competitive compensation package.
- Learning opportunities and global exposure.
Equal Opportunity Statement: Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace.
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