Hitachi Logo

Hitachi

AI Architect

Posted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in Texas, USA
Expert/Leader
Remote
Hiring Remotely in Texas, USA
Expert/Leader
Leads enterprise AI strategy, architecture, governance, and adoption across generative and agentic AI initiatives. Designs scalable AI platforms, autonomous and multi-agent systems, RAG and knowledge architectures, interoperability standards, and governance frameworks. Establishes observability, security, compliance, evaluation, and operational practices while partnering with business, product, security, data, and engineering leaders. Provides technical leadership, mentoring, and guidance for LLMOps, MLOps, cloud-native operations, and enterprise AI transformation.
The summary above was generated by AI

Function

Cloud & Data EngineeringOur Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Overview

The AI Architect will lead the strategy, architecture, governance, and adoption of enterprise AI, Generative AI, and Agentic AI solutions. This role is responsible for defining scalable AI platforms, intelligent agent ecosystems, enterprise knowledge architectures, and governance frameworks that enable secure, trusted, and business-aligned AI transformation.


Key Responsibilities

• Define enterprise AI strategy, architecture standards, reference architectures, and roadmaps.

• Architect and govern AI platforms leveraging Microsoft AI Foundry, Amazon Bedrock, and Google Vertex AI.

• Design and implement Agentic AI solutions, including autonomous agents, multi-agent systems, orchestration, memory frameworks, and human-in-the-loop workflows.

• Drive adoption of interoperability standards such as MCP, A2A, OpenAPI, and

enterprise integration patterns.

• Build enterprise knowledge architectures using Knowledge Graphs, Ontologies, Semantic Layers, Metadata Management, and Agentic Retrieval.

• Architect RAG solutions utilizing vector databases, graph databases, hybrid search, and enterprise knowledge platforms.

• Establish AI Governance and Agent Governance frameworks covering security, compliance, risk management, responsible AI, and policy enforcement.

• Implement AI observability, tracing, monitoring, evaluation, and performance

measurement using OpenTelemetry and cloud-native tools.

• Partner with business, product, security, data, and engineering leaders to deliver strategic AI initiatives.

• Provide technical leadership, mentoring, architecture governance, and best

practices for LLMOps, MLOps, CI/CD, and cloud-native operations.

• Evaluate emerging AI technologies, agent frameworks, and industry standards to drive innovation and competitive advantage.


Qualifications

• 15+ years of experience in enterprise architecture, software engineering, or cloud platforms.

• 7+ years of experience designing and delivering AI/ML, Generative AI, or Agentic AI solutions.

• Deep expertise with Microsoft AI Foundry, Amazon Bedrock, Google Vertex AI, LLMs, RAG, Knowledge Graphs, and AI governance.

• Strong knowledge of cloud platforms (Azure, AWS, GCP), enterprise integration, security, and scalable distributed systems.

• Proven leadership experience influencing executive stakeholders and leading cross functional teams.


Preferred

• Master's degree in Computer Science, AI, Data Science, or related field.

• Cloud and AI certifications from Microsoft, AWS, or Google Cloud.

• Experience leading enterprise AI transformation programs in large global

organizations.

#LI-MS2

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion 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 bring a better tomorrow closer to today, this is the place for you.

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.

Similar Jobs

6 Days Ago
Remote or Hybrid
USA
350K-375K Annually
Expert/Leader
350K-375K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Define and drive CrowdStrike’s company-wide AI and agentic architecture. Design production AI systems, shared platforms, lifecycle workflows, and developer tooling across products and business units. Improve performance, resilience, scalability, observability, governance, security, and auditability across cloud and edge environments. Build reference implementations, guide architectural decisions, resolve complex engineering challenges, mentor technical leaders, and align senior stakeholders around AI strategy and implementation.
Top Skills: Accelerated ComputingAgentic AiAIAPIsCloud ComputingDistributed SystemsEdge ComputingGenerative AiLinuxModel Inference ServingNetworkingRetrieval
17 Days Ago
In-Office or Remote
4 Locations
161K-378K Annually
Senior level
161K-378K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads architecture strategy and governance for sovereign AI solutions across sales, presales, and delivery. Designs secure AI/ML reference architectures covering data pipelines, model lifecycle management, inference infrastructure, and governance. Advises executives and customers, manages regulatory and operational risks, drives security-by-design, leads technical reviews, develops architectural documentation, and mentors architects. Requires hands-on Kubernetes, Linux, Ansible, HPC, SLURM, NVIDIA AI Enterprise, and related infrastructure experience.
Top Skills: AnsibleCncf KubernetesHigh-Performance StorageHpcKubernetesLinuxMlopsNvidia Ai EnterpriseNvidia BcmNvidia DcgmRancher Rke2Red Hat OpenshiftRest ApisSlinkySlurmSovereign CloudSunk
17 Days Ago
Remote
5 Locations
146K-343K Annually
Senior level
146K-343K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Lead customer-facing architecture for AI data platforms and AI Factory environments. Design data-centric solutions for RAG, inference, and training workflows; size GPU and storage environments; optimize data movement, retrieval, latency, throughput, cost, and reliability. Partner with customers, sales, and Product Management to qualify opportunities, influence product roadmaps, create reference architectures, and develop scalable go-to-market solutions.
Top Skills: Ai/MlCloud InfrastructureData LakesData PipelinesGpu ComputingHpcHybrid InfrastructureModel InferencePyTorchRagS3 Object StorageTensorFlowVector Databases

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account