Hitachi Digital Services
AI

AI Engineer – AWS LLM Platm Focus

Hitachi Digital Services · Dallas, TX, US

Actively hiring Posted about 2 hours ago

Role overview

Our Company

We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data.

If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we're laying the foundation for our next wave of growth. We're looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.

The team

You will join a high-impact AI and digital engineering team focused on delivering scalable, enterprise-grade AI solutions. The team partners closely with AI Architects, data engineers, and product stakeholders to bring intelligent solutions to life—from concept to production. With a strong emphasis on innovation, cloud-native development, and real-world application of AI, this team is building modern AI platforms leveraging AWS to drive business transformation across industries.

The role

We are seeking an experienced AI Implementation Specialist to design, build, and deploy AI solutions in a cloud-native environment. This role is highly hands-on and will focus on implementing AI models, integrating large language models (LLMs), and deploying scalable AI applications on AWS. You will work closely with AI Architects to translate designs into functional solutions, ensuring performance, reliability, and scalability.

A key requirement for this role is prior experience setting up and designing AI labs on AWS, including infrastructure, tools, and environments needed for experimentation and production deployment. The ideal candidate thrives in a fast-paced environment and brings a strong engineering mindset with deep expertise in Python, machine learning frameworks, and cloud-based AI services.

*Candidates must be authorized to work in the United States without current or future sponsorship. This role does not support visa sponsorship.

What you'll bring**

  • Must have hands-on experience with AWS platform, including designing and setting up AI/ML environments (AI Labs)
  • Strong programming skills in Python
  • Experience with Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with LLM integration and prompt engineering
  • Experience building APIs and integrating AI services into applications
  • Strong understanding of data preprocessing, model training, and evaluation
  • Experience deploying AI models using cloud AI services (AWS preferred)
  • Experience with RAG architectures and vector databases (nice to have)
  • Experience developing AI chatbots or conversational assistants
  • Familiarity with MLOps pipelines and CI/CD for AI models
  • Exposure to OCR/document intelligence tools or recommendation engines (nice to have)

About us

We're a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

#LI-YM1

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

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.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

What we're looking for

We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data.

If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we're laying the foundation for our next wave of growth. We're looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.

The team

You will join a high-impact AI and digital engineering team focused on delivering scalable, enterprise-grade AI solutions. The team partners closely with AI Architects, data engineers, and product stakeholders to bring intelligent solutions to life—from concept to production. With a strong emphasis on innovation, cloud-native development, and real-world application of AI, this team is building modern AI platforms leveraging AWS to drive business transformation across industries.

The role

We are seeking an experienced AI Implementation Specialist to design, build, and deploy AI solutions in a cloud-native environment. This role is highly hands-on and will focus on implementing AI models, integrating large language models (LLMs), and deploying scalable AI applications on AWS. You will work closely with AI Architects to translate designs into functional solutions, ensuring performance, reliability, and scalability.

A key requirement for this role is prior experience setting up and designing AI labs on AWS, including infrastructure, tools, and environments needed for experimentation and production deployment. The ideal candidate thrives in a fast-paced environment and brings a strong engineering mindset with deep expertise in Python, machine learning frameworks, and cloud-based AI services.

*Candidates must be authorized to work in the United States without current or future sponsorship. This role does not support visa sponsorship.

About us

We're a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

#LI-YM1

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.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Tags & focus areas

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