Gen AI Architect

About GlobalLogic - A Hitachi Group Company

GlobalLogic is a digital engineering leader, helping brands around the world design and build innovative products, platforms, and digital experiences for the modern world. We bring together experience design, engineering, and data to empower our customers with the digital business potential of the future. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, providing expert services to clients in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is Hitachi, Ltd. (TSE : 6501) group company, and contributes to driving innovation through data and technology to improve the quality of life and a sustainable society.

What GlobalLogic offers to its employees :

Attractive projects : We focus on industries such as high tech, communications, media, healthcare, retail, and telecom. There are many great global brands that love what we build.

Collaborative environment : You can hone your skills by working with diverse and talented teams in an open and comfortable environment. There are also many opportunities to work with overseas teams and customers. Work-life balance : GlobalLogic values work-life balance and offers flexible work hours, work-from-home opportunities, paid vacation and holidays, and excellent benefits.

Career development : We have a dedicated Learning & Development team to provide training

Job Description

10–15 years in IT with at least 3+ years in AI / ML or Generative AI solution architecture, leading enterprise-scale deployments.

The Generative AI Architect will be responsible for designing, implementing, and optimizing enterprise-grade AI solutions using advanced Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks. This role involves building scalable, secure, and compliant GenAI architectures across multi-cloud environments, integrating with existing enterprise ecosystems, and ensuring model performance, observability, and reliability. The ideal candidate combines deep technical expertise with strategic thinking to guide teams in developing innovative, production-ready AI systems.

Key Skills – Must Have

• Programming : Python, JavaScript, Bash
• AI / ML Frameworks : LangChain, Hugging Face, Llama Index, TensorFlow, PyTorch
• RAG & LLM Expertise : Prompt Engineering, Context Retrieval, Vector Databases
• MLOps : Model orchestration, CI / CD integration, automated retraining pipelines
• Cloud Platforms : AWS, Azure, GCP (AI / ML Services & Cloud-native Design)
• Observability & Monitoring : OpenTelemetry, ELK, Prometheus, Grafana
• Security : Keycloak, OAuth, SAML, AI governance & responsible AI frameworks
• Architecture Patterns : Microservices, Event-Driven, API Management
• Development Frameworks : FastAPI, Flask, Django for AI service integration
• Versioning & Collaboration : GitLab CI / CD, JIRA, Confluence

Key Skills – Nice to Have :

Job Responsibilities

Job Responsibilities :