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SeniorFull-timeRustAWSKubernetesDockerTerraformCI/CDAIML
Salary Range
$49,725 - $67,275 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Lead AI Solution Architect to serve as the primary technical catalyst for AI within our business domains. This hands-on leadership role requires deep expertise in AWS and Databricks, modern cloud data architectures, and the ability to influence senior stakeholders.
Key Responsibilities
- →Architect and design end-to-end AI systems aligned with enterprise standards
- →Lead the ideation and engineering of high-value AI products ensuring they are scalable, secure, and resilient
- →Partner with business stakeholders, product managers, and engineering teams to understand business use cases
- →Design and document domain-aligned AI capabilities and reusable AI services
- →Champion architectural best practices, data literacy, and AI-responsible design
Requirements
- ✓Deep knowledge of modern AI architectures on AWS, including Generative AI and RAG
- ✓Expert-level experience designing and operating AWS/DataBricks with mastery of Model Serving and Vector Search
- ✓Strong understanding of AI security architectures and Infrastructure-as-Code (Terraform)
- ✓Hands-on experience applying MLOps and LLMOps principles
- ✓Proven experience designing multi-agent orchestration workflows
- ✓Summary Bullets
- ✓Lead AI solutions architect and trusted advisor for business functions
- ✓Design and document end-to-end AI systems architectures
- ✓Partner with stakeholders to understand business use cases
- ✓Champion architectural best practices and AI-responsible design
- ✓Proactively identify opportunities for data, ML, and AI initiatives
- ✓Advise on MLOps, LLMOps, and AgentOps principles
- ✓Requirement Bullets
- ✓Deep knowledge of modern AI architectures on AWS
- ✓Expert-level experience with AWS/DataBricks
- ✓Strong understanding of AI security architectures
- ✓Hands-on experience with MLOps and LLMOps
- ✓Proven experience with multi-agent orchestration workflows
- ✓Strong communication skills with senior stakeholders
- ✓Ability to balance governance with enablement
- ✓Benefit Bullets
- ✓[]
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