Head of AI Engineering

Akkodis is seeking an Head of AI Engineering & Cloud Platform for a client located in Alameda, CA. This is a 12-month contract Position. Ideally looking for a candidate with experience in the manufacturing Industry Pay Range: $100 - $130/hour; The rate may be negotiable based on experience, education, geographic location, and other factors Your Responsibilities will include: 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 1. 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 1. 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) 1. 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 1. 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 Key Competencies • Strategic + hands-on balance (thinks like an architect, executes like an engineer) • Ability to translate emerging AI trends into enterprise value • Strong systems thinking across platforms, data, and workflows • Excellent stakeholder communication-able to influence senior leadership and engineering teams alike Bias for action-rapid experimentation and iterative delivery If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Punit Pathak at 610 445 8219 or Punit.pathak@akkodisgroup.com. 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