Principal AI Platform Engineer

Hitachi • Fort Worth, TX

1d

About The Position

Hitachi Digital Services is seeking a highly skilled Principal AI Platform Engineer to help architect and operationalize next-generation AI platforms for enterprise-scale environments. This role is focused on building and operating agentic AI platforms on AWS, leveraging modern Generative AI services including Amazon Bedrock, Bedrock AgentCore, SageMaker, and enterprise-grade LLMOps frameworks. You will play a key role in designing scalable AI ecosystems that power intelligent workflows, retrieval-augmented generation (RAG), conversational interfaces, and AI-driven automation while ensuring security, governance, and operational excellence. If you are passionate about building production-ready AI systems and shaping the future of enterprise AI architecture, this is an opportunity to make significant impact within a fast-growing innovation environment.

Requirements

• 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

Nice To Haves

• Experience with Amazon Q (Developer / Business)
• Experience fine-tuning or training foundation models using SageMaker
• Experience implementing AI governance and responsible AI practices
• Knowledge of enterprise AI security and compliance frameworks
• Experience supporting educational, healthcare, financial, or regulated enterprise environments
• AWS certifications preferred

Responsibilities

• 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

Benefits

• industry-leading benefits, support, and services that look after your holistic health and wellbeing
• flexible arrangements that work for you (role and location dependent)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed