Principal AI Platform Engineer
Role details
Job location
Tech stack
Job description
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.
What You'll Do
- 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, We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
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
Preferred Qualifications
- 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