Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Hitachi

Principal AI Platform Engineer

Hitachi

Principal AI Platform Engineer responsible for designing and operationalizing enterprise-scale AI platforms on AWS. Collaborating with teams to drive AI innovation initiatives in a fast-growing environment.

Posted 5/27/2026full-timeRemote • Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSCloudMicroservicesPostgresPython

About the role

Key responsibilities & impact
  • Design and operationalize enterprise-scale agentic AI platforms on AWS
  • Build and manage LLMOps frameworks, including: Prompt/version management, Model orchestration, Evaluation pipelines, Monitoring and observability
  • Develop and deploy LLM-powered applications using: Amazon Bedrock, Bedrock AgentCore, SageMaker
  • Implement scalable RAG architectures and vector search solutions
  • Integrate vector databases such as: OpenSearch, Aurora, PostgreSQL with pgvector, Pinecone or similar platforms
  • Design AI guardrails, governance controls, and responsible AI frameworks
  • Build workflow automation using: AWS Lambda, Step Functions, EventBridge
  • Establish secure, scalable, enterprise-grade infrastructure aligned with AWS best practices
  • Integrate AI platforms with APIs, enterprise systems, analytical platforms, and downstream applications
  • Collaborate with architects, product teams, engineering teams, and business stakeholders to drive AI innovation initiatives
  • Mentor engineering teams on AI platform standards and best practices

Requirements

What you’ll need
  • 10+ years of software engineering, cloud engineering, or AI platform experience
  • 5+ years designing enterprise AI/ML platforms in AWS environments
  • Hands-on experience with: Amazon Bedrock, Bedrock AgentCore, SageMaker, Agentic AI workflows
  • Strong experience designing and implementing Retrieval-Augmented Generation (RAG), Vector database architectures, LLMOps frameworks
  • Experience with: Prompt orchestration, Model evaluation, AI monitoring frameworks
  • Strong knowledge of: AWS infrastructure, IAM/security policies, Networking, Observability
  • Experience building scalable cloud-native applications and microservices
  • Strong Python development experience
  • Ability to translate business requirements into scalable AI platform solutions
  • Excellent communication and stakeholder engagement skills.

Benefits

Comp & perks
  • industry-leading benefits
  • support and services that look after your holistic health and wellbeing
  • flexible arrangements that work for you

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI platformsLLMOps frameworksRetrieval-Augmented Generation (RAG)Vector database architecturesPythonCloud-native applicationsMicroservicesPrompt orchestrationModel evaluationAI monitoring frameworks
Soft Skills
CommunicationStakeholder engagementMentoringCollaboration