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AI Platform Architect at EverOps | JobVerse
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AI Platform Architect
EverOps
Remote
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LinkedIn
AI Platform Architect
United States
Full Time
1 week ago
No H1B
Apply Now
Key skills
AWS
Cloud
Terraform
AI
ML
GenAI
Glue
Athena
SageMaker
Bedrock
SaaS
Presentation Skills
Remote Work
About this role
Role Overview
Lead technical workshops to identify, refine, and prioritize high-impact AI and GenAI use cases aligned with business objectives.
Translate business problems into system design requirements and AI workflows.
Assess existing data platforms, pipelines, governance, and accessibility for AI workloads.
Evaluate data quality, lineage, security, and suitability for training, RAG, and inference patterns.
Design AI architectures that comply with enterprise security, privacy, and regulatory constraints (PII, PHI, internal policies).
Evaluate and design integrations across APIs, event streams, and existing systems.
Evaluate and recommend foundation models and AI services, including Amazon Bedrock, Amazon Nova, and open-source models.
Analyze tradeoffs across cost, latency, accuracy, and scalability.
Design GenAI patterns such as RAG, agent workflows, and inference pipelines.
Produce high-level and detailed AWS reference architectures for prioritized AI use cases.
Define phased implementation roadmaps that balance speed, risk, and long-term maintainability.
Identify PoC scope that can be executed within a short engagement.
Partner with stakeholders to develop ROI and TCO models for AI initiatives.
Provide cost modeling for model usage, data pipelines, infrastructure, and operations.
Deliver AI assessment findings and recommendations.
Create target-state AI platform architecture diagrams.
Summarize data readiness and compliance assessments.
Provide model evaluation and selection rationale.
Define phased implementation roadmap.
Design and validate PoC.
Prepare executive-ready presentations and documentation.
Requirements
8+ years in Cloud, Platform, SRE, or Infrastructure Engineering roles
Proven experience operating at an Architect level
Strong client-facing and consultative experience
Deep hands-on experience with AWS, including multi-account architectures and governance
Strong knowledge of infrastructure as code (Terraform preferred)
Experience designing secure, scalable platforms in AWS Organizations environments
Practical experience with AI/ML platforms, preferably AWS-native (Bedrock, SageMaker, Glue, Athena, OpenSearch)
Experience with GenAI architectures (RAG, embeddings, vector stores, agent frameworks)
Familiarity with model evaluation, prompt engineering, and inference optimization
Understanding of AI cost drivers and scaling considerations
Strong grounding in SRE principles, observability, reliability, and operational excellence
Experience designing production-ready systems with monitoring, alerting, and security baked in
Ability to lead workshops, whiteboard architectures, and influence senior stakeholders
Comfortable translating complex technical concepts into business-level narratives
Strong written documentation and presentation skills
Experience delivering AI assessments or AI strategy engagements
Background in regulated industries (Healthcare, Fintech, Enterprise SaaS)
AWS Certified Solutions Architect – Professional
Experience building internal platforms or AI enablement frameworks
Tech Stack
AWS
Cloud
Terraform
Benefits
Health insurance
401(k) matching
Paid time off
Remote work options
Professional development opportunities
Apply Now
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