
Cloud Native AI Architect
1 week ago
About Apexon: We are a digital-first technology services firm accelerating business transformation and delivering human-centric digital experiences.
We specialize in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences. Our reputation is built on a comprehensive suite of engineering services, dedication to solving clients' toughest technology problems, and commitment to continuous improvement.
Responsibilities:
- Architect agentic AI systems using AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).
- Define multi-agent orchestration strategies for clinical data workflows, source verification, discrepancy detection, and intelligent query generation.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures to drive efficiency and compliance.
- Mentor and guide AI engineers, developers, and DevOps teams on agent-based designs and scalable ML workflows.
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.
Key Skills:
- AWS AI services.
- Agentic AI frameworks.
- Leadership and mentoring abilities.
Preferred Skills:
- PhD in a relevant field.
- Experience in healthcare AI solutions.
- Knowledge of regulatory compliance.
The ideal candidate will have strong technical skills in cloud native architecture as well as leadership and mentoring abilities. They will be able to effectively communicate technical ideas and collaborate with cross-functional teams.
This role offers a competitive compensation package, opportunities for growth and development, and the chance to work with a talented team of professionals.
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