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Platform Architect

Job

Akkodis

Oakland, CA (In Person)

Full-Time

Posted 6 days ago (Updated 1 day ago) • Actively hiring

Expires 7/23/2026

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Job Description

Platform Architect at Akkodis Platform Architect at Akkodis in Oakland, California Posted in 2 days ago.
Type:
full-time
Job Description:
Akkodis is seeking a AI Platform Architect role is 6+ Months contract with a client located in
Alameda, CA Pay Range:
$100-$120/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Role Overview Seeking a forward-thinking AI Platform Architect to design, build, and operationalize enterprise AI platforms that accelerate innovation across research, clinical development, commercial and corporate functions. This role will lead the architecture and governance of a multi-platform AI ecosystem, spanning AWS (Bedrock, SageMaker), Databricks (Mosaic AI), Claude for Enterprise, and emerging AI-native / agentic engineering tools and platforms. The architect will ensure scalable, secure, and compliant deployment of AI capabilities while enabling rapid experimentation and adoption. A critical success factor is the ability to stay ahead of industry trends, quickly validate new technologies, and operationalize high-value capabilities in a regulated life sciences environment. Key Responsibilities 1. AI Platform Strategy & Architecture
  • Help define and mature enterprise AI platform architecture across cloud and data ecosystems
  • Design interoperable solutions spanning: o AWS AI stack (Bedrock, SageMaker, model hosting, orchestration) o Databricks / Mosaic AI (ML lifecycle, feature engineering, LLM ops) o Claude for Enterprise (secure conversational AI and enterprise workflows)
  • Establish patterns for multi-model orchestration, RAG architectures, and agent frameworks 2. AI Capability Engineering & Operations
  • Operationalize reusable AI capabilities: o Model access layers (LLMs, fine-tuned models) o Prompt, tool, and agent orchestration frameworks o Evaluation, monitoring, and observability pipelines
  • Enable secure, compliant AI usage (GxP, HIPAA where applicable)
  • Implement AI platform guardrails: o Data access controls o Responsible AI policies o Auditability and traceability 3. Agentic & AI-Native Engineering (Next-Gen SDLC)
  • Drive adoption of agentic software development lifecycle (SDLC) practices
  • Define frameworks for: o Spec-driven agentic development (Claude Code, Github Copilot, code agents) o Autonomous/semiautonomous agents across workflows
  • Integrate AI-native platforms into enterprise engineering workflows (CI/CD, DevSecOps) 4. Innovation & Technology Scouting
  • Continuously scan AI/ML ecosystem trends (foundation models, agent frameworks, enterprise AI tooling)
  • Rapidly prototype and validate emerging capabilities (e.g., new Bedrock models, Mosaic AI features, agent frameworks)
  • Create POCs pilots enterprise rollout pathways 5. Cross-Functional Enablement
  • Partner with: o Cloud Engineering, Data engineering, and platform teams for integration patterns o Security, compliance, and governance stakeholders
  • Develop architectural guidance and design standards to engineering teams
  • Enable internal adoption through reference architectures, playbooks, and reusable assets Required Qualifications
  • 7+ years in Enterprise architecture, data platforms, or AI/ML engineering
  • 5+ years hands-on experience with cloud AI platforms (AWS preferred)
  • Proven experience with: o AWS Bedrock and/or SageMaker o Databricks (including Mosaic AI or MLflow ecosystem) o Enterprise LLM platforms (e.g., Claude, OpenAI, or similar) o Strong understanding of LLM architectures (RAG, fine-tuning, embeddings, Vector DBs, Graph DBs, Multi agent orchestration) Preferred Qualifications
  • Experience in life sciences, pharma, or clinical trial ecosystems
  • Familiarity with: o GxP validation processes for AI/ML systems o Clinical/regulatory data workflows
  • Experience designing secure, compliant systems in regulated environments (life sciences strongly preferred)
  • Exposure to: o Agent frameworks (LangChain, Semantic Kernel, etc.
) o AI observability and evaluation tooling o Multi-cloud / hybrid architectures If you feel this is not something that you are currently interested in, but know of someone, that might be, please share the details with them or let me know their details so I can reach out to them! Equal Opportunity Employer/Veterans/Disabled Benefit 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 visit https://www.akkodis.com/en/privacy-policy. The 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