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Hitachi Digital Services • India
Role & seniority: AI QA Specialist; mid-senior level (5+ years QA/testing; 2+ years AI/ML)
Stack/tools: Python; CI/CD; GCP (Vertex AI, IAM, VPC-SC); AI platforms (Vertex AI, Gemini Enterprise); LLMs, Agentic AI frameworks, RAG pipelines; evaluation harnesses; observability dashboards
Design and execute QA strategies for AI models, multi-agent systems, and orchestration workflows (functional, regression, performance testing)
Validate LLM outputs (accuracy, bias, compliance); implement AI observability, explainability, and bias detection; monitor safety
Build automated test suites; integrate QA with CI/CD and GCP services; governance, data privacy, and audit-ready reporting
Strong Python programming; test automation experience
Proficiency with LLMs, Agentic AI frameworks, RAG pipelines
Knowledge of GCP services and cloud-native QA practices; AI observability and bias detection frameworks
Certifications (Google Professional Cloud Architect, AI/ML Testing Specialist)
Experience with LangChain, evaluation harnesses, model monitoring tools
Familiarity with data governance, GPU optimization, performance benchmarking
Location & work type: Global role; flexible arrangements; role/location dependent; full-time, collaborative environment with blended/on-site or remote options as applicable
Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. 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. The Team As an AI QA Specialist, you will design and execute test strategies for AI systems, including LLMs, Agentic AI frameworks, and RAG pipelines. You will validate model outputs, monitor AI observability, and enforce governance and compliance standards. Your role ensures that AI solutions meet functional and non-functional requirements before deployment. The Role AI Testing & Validation Develop QA frameworks for AI models, multi-agent systems, and orchestration workflows. Design and execute functional, regression, and performance tests for AI pipelines. Validate LLM outputs for accuracy, bias, and compliance with enterprise standards. Observability & Explainability Implement AI observability dashboards for monitoring latency, reliability, and error rates. Ensure explainability of AI decisions through evaluation harnesses and reporting tools. Conduct bias detection, drift monitoring, and safety checks for deployed models. Automation & Integration Build automated test suites for AI workflows using Python and CI/CD pipelines. Integrate QA processes with GCP services (Vertex AI, Cloud Run, GKE) for continuous validation. Collaborate with engineering teams to embed QA checkpoints into development lifecycle. Governance & Compliance Enforce AI safety protocols, data privacy standards, and regulatory compliance. Document test plans, evaluation metrics, and audit-ready reports. What you’ll bring Bachelor’s or master’s in computer science, AI/ML, or related field. 5+ years in QA or testing; 2+ years with AI/ML systems. Hands-on experience with LLMs, Agentic AI frameworks, and RAG pipelines. Strong programming skills in Python; familiarity with test automation tools. Knowledge of GCP services (Vertex AI, IAM, VPC-SC) and cloud-native QA practices. Understanding of AI observability, explainability frameworks, and bias detection. Preferred Qualifications
Certifications: Google Professional Cloud Architect, AI/ML Testing Specialist. Experience with LangChain, evaluation harnesses, and model monitoring tools. Familiarity with data governance frameworks and compliance standards. Exposure to GPU optimization and performance benchmarking. Key Competencies Strong analytical and problem-solving skills. Ability to design robust QA strategies for complex AI systems. Collaborative mindset with excellent communication skills. Passion for responsible AI, quality assurance, and continuous improvement. Success Metrics Deployment of comprehensive QA frameworks for AI workflows. Reduction in model errors, bias, and drift incidents. Improved AI reliability and compliance readiness. Positive impact on user trust and operational efficiency. What You’ll Work With
AI Platforms: Vertex AI, Gemini Enterprise, Agentic AI frameworks.
Testing Tools: Python-based automation, CI/CD pipelines, evaluation harnesses.
Observability & Governance: Dashboards, explainability tools, compliance frameworks. About us We’re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. #LI-AP1 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.