Artificial Intelligence Engineer

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, Claude for Enterprise, 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.Title: AI Platform ArchitectLocation: Alameda CAContract: 6 months+ (With potential contract-to-hire)Pay Rate: $120 hr. -$130/hr. (The rate may be negotiable based on experience, education, geographic location, and other factors)Job Description:Design and evolve enterprise AI platform architecture across cloud, data, and application ecosystems.Architect scalable solutions utilizing:AWS Bedrock, SageMaker, model hosting, and orchestration servicesDatabricks, Mosaic AI, MLflow, and MLOps capabilitiesEnterprise LLM platforms such as Claude and OpenAIDevelop architectures for RAG, vector databases, embeddings, multi-agent systems, and model orchestration.AI Engineering & Platform OperationsBuild 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.Agentic AI & AI-Native DevelopmentDrive 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.Innovation & Emerging Technology EvaluationResearch 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.Cross-Functional LeadershipPartner 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 Qualifications7+ 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 SageMakerDatabricks, Mosaic AI, and MLflow ecosystemsEnterprise LLM platforms (Claude, OpenAI, or equivalent)RAG architectures, embeddings, vector databases, graph databases, and agent orchestrationExperience building scalable, secure, and production-grade AI solutions.Strong understanding of AI governance, observability, and model lifecycle management.Preferred QualificationsExperience 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 frameworksAI monitoring, evaluation, and observability toolsMulti-cloud and hybrid cloud architecturesEqual Opportunity Employer/Veterans/DisabledBenefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.To read our Candidate Privacy Information Statement, which explains how we will use your information, please visitThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:· The California Fair Chance Act· Los Angeles City Fair Chance Ordinance· Los Angeles County Fair Chance Ordinance for Employers· San Francisco Fair Chance Ordinance