AI Platform Architect
Anveta
AI Platform Architect
Location: Alameda CA
Contract: 6 months+ (With potential contract-to-hire)
Seeking an experienced AI Platform Architect to lead the design, implementation, and governance of enterprise-scale AI platforms. This role will drive the architecture and operationalization of a multi-platform AI ecosystem across AWS, Databricks, and emerging AI-native technologies. The ideal candidate combines deep technical expertise with strategic vision and can rapidly evaluate, prototype, and deploy innovative AI solutions within a regulated life sciences environment.
Key Responsibilities
- Design and evolve enterprise AI platform architecture across cloud, data, and application ecosystems.
- Architect scalable solutions utilizing:
- AWS Bedrock, SageMaker, model hosting, and orchestration services
- Databricks, Mosaic AI, MLflow, and MLOps capabilities
- Enterprise LLM platforms such as Claude and OpenAI
- Develop architectures for RAG, vector databases, embeddings, multi-agent systems, and model orchestration.
- Build and operationalize reusable AI services and frameworks.
- Implement model access layers, prompt management, agent orchestration, and AI observability solutions.
- Establish governance, security, compliance, and responsible AI controls.
- Ensure auditability, traceability, and secure access to enterprise data.
- Drive adoption of AI-powered software development practices.
- Integrate AI coding assistants, code agents, and autonomous workflows into SDLC processes.
- Collaborate with engineering teams to embed AI capabilities into CI/CD and DevSecOps environments.
- Research and evaluate emerging AI technologies, foundation models, and agent frameworks.
- Lead proof-of-concept initiatives and pilot programs.
- Translate AI innovations into scalable enterprise solutions.
- Partner with cloud, data, security, compliance, and engineering teams.
- Develop architecture standards, reference designs, and implementation best practices.
- Support enterprise-wide AI adoption through technical leadership and enablement.
Required Qualifications
- 7+ years of experience in Enterprise Architecture, AI/ML Engineering, Data Platforms, or related fields.
- 5+ years of hands-on experience with cloud-based AI platforms, preferably AWS.
- Strong expertise with:
- AWS Bedrock and/or SageMaker
- Databricks, Mosaic AI, and MLflow ecosystems
- Enterprise LLM platforms (Claude, OpenAI, or equivalent)
- RAG architectures, embeddings, vector databases, graph databases, and agent orchestration
- Experience building scalable, secure, and production-grade AI solutions.
- Strong understanding of AI governance, observability, and model lifecycle management.
Preferred Qualifications
- Experience within Life Sciences, Pharmaceutical, Biotech, or Clinical Research environments.
- Knowledge of GxP validation processes and regulated systems.
- Experience supporting HIPAA-compliant environments.
- Familiarity with:
- LangChain, Semantic Kernel, CrewAI, AutoGen, or similar frameworks
- AI monitoring, evaluation, and observability tools
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