Data Center Thermal Solutions Engineer developing advanced thermal management products for diverse markets. Leading design and prototyping efforts, collaborating with teams to optimize cooling solutions.
About the role
- Senior Architect, Intelligent Solutions leading AWS cloud-native AI solutions with hands-on technical delivery and cross-functional collaboration. Driving Generative AI and cloud-native systems for clinical solutions.
Responsibilities
- Architect, design, and deliver AWS cloud-native solutions across AI/ML capabilities and enterprise business applications
- Lead the implementation of Generative AI solutions, including retrieval-augmented generation (RAG), agentic workflows, and LLM-integrated systems
- Drive adoption of AI-augmented development practices, including design acceleration, code generation and review, test automation, and debugging
- Serve as the primary technical authority for assigned capabilities, making architectural decisions across APIs, data platforms, frontend, infrastructure, and AI tooling
- Lead technical delivery across onshore and offshore contractor teams, ensuring predictable planning, execution quality, and delivery outcomes
- Mentor and coach engineers through hands-on guidance, pair programming, code reviews, and knowledge sharing
- Partner with data science, business, quality, and regulatory stakeholders to align architecture and delivery with program milestones and compliance needs
- Prototype and validate new capabilities, particularly Generative AI features, to reduce risk before broader team investment
- Define and execute a technical roadmap aligned with business priorities and R&D Information Systems strategy
- Oversee production reliability, operational support, and continuous improvement across DevOps and engineering practices
Requirements
- BA/BS with at least 8 years of experience, MA/MS/MBA with at least 6 years of experience, OR PhD with at least 2 years of experience
- Strong experience in architecture and system design for scalable, cloud-native applications
- Demonstrated ability to provide cross-functional technical leadership and own delivery outcomes
- Practical experience using AI-powered development tools to accelerate design, implementation, and troubleshooting
- Working knowledge of Generative AI concepts, including LLMs, prompt and context engineering, and agent-based systems
- Experience with AI orchestration frameworks, such as LangChain, or the ability to ramp up quickly
- Strong Python development skills, including REST APIs (FastAPI), asynchronous programming, and testing
- Experience with modern frontend frameworks, such as React, including component architecture and state management
- Experience with relational and NoSQL databases, including schema design, query development, and performance tuning
- Strong AWS experience, including ECS or EKS, Lambda, S3, DynamoDB, RDS, and SQS
- Experience with infrastructure as code (Terraform), CI/CD (GitHub Actions), containers (Docker and Kubernetes), and cloud security fundamentals
- Proven experience leading contractor or vendor engineering teams while remaining hands-on
- Ability to communicate technical decisions clearly to both technical and non-technical stakeholders.
Benefits
- Discretionary annual bonus
- Discretionary stock-based long-term incentives (eligibility may vary based on role)
- Paid time off
- Company-sponsored medical, dental, vision, and life insurance plans
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