Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries (HCLS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Delivery Consultant (GenAI/ML & Data Science): Leading large-scale Healthcare and Life Sciences transformation programs with an accent on AI/ML, data platform modernization, and enterprise architecture. Focus on designing agentic AI systems, establishing multi-model governance, and implementing AI-native delivery workflows.
Location: Zurich, Switzerland
Company
Amazon Web Services () is a world-leading cloud platform providing comprehensive infrastructure and AI services to startups and Global 500 companies.
What you will do
- Define and own the end-to-end technical architecture and standards for large-scale HCLS transformation programs.
- Provide executive technical advisory to VP+ stakeholders on technology choices, TCO, and build vs. buy decisions.
- Establish operational foundations for agentic AI, including multi-model governance and secure multi-agent orchestration.
- Drive alignment and architectural governance across diverse customer and partner technical teams.
- Implement AI-Driven Development Life Cycle (AI-DLC) methodologies to maximize builder productivity and time-to-value.
- Champion responsible AI practices, including bias detection and model explainability.
Requirements
- 8+ years of experience in enterprise technology architecture delivery.
- 5+ years of experience leading technical teams and governing architecture on complex transformation programs.
- Deep technical expertise in AI/ML, enterprise architecture modernization, or data architecture and engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong executive communication skills for presenting risk assessments and trade-offs to senior leadership.
Nice to have
- Professional-level certifications (GenAI Developer, Solutions Architect, ML, or Data Analytics).
- Experience in Healthcare and Life Sciences (HCLS) with knowledge of HIPAA, GxP, and standards like FHIR or HL7.
- Expertise in designing RAG architectures, vector databases, and ontology-driven architectures.
- Experience operationalizing agentic AI systems using Amazon Bedrock or AgentCore.
Culture & Benefits
- Inclusive team culture supported by employee-led affinity groups and diversity conferences.
- Strong emphasis on mentorship and continuous career growth through internal knowledge-sharing.
- Commitment to work-life harmony and flexibility within the working culture.
- Opportunity to drive high-impact AI transformations for the world's leading HCLS companies.
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