仕事No.
IRC280637
Published on 13 January 2026

Gen AI Architect (.NET) IRC280637

役職

Solution Architect

職種

Technology

経験

10-15 years

勤務地

India - Bangalore

スキル

.net, AWS, Azure, Bash, DevOps & CI/CD, HuggingFace, JavaScript, langchain, llamaindex, Microservices, prompt engineering, Python, PyTorch, Tensorflow, Vector Databases

Work Model

Hybrid

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職種概要

Year of Exp- 12+ Years

Location- Bangalore

必要条件

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, .NET
  • 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:

  • Experience with vector search and embeddings (FAISS, Pinecone, Weaviate, Chroma).
  • Knowledge of multi-agent frameworks and AI workflow orchestration (e.g., LangGraph, CrewAI).
  • Familiarity with PromptOps, GenAI observability tools, and bias mitigation.
  • Background in Data Science, NLP, or Semantic Search.
  • Exposure to microfrontend architectures and full-stack application design.
  • Hands-on experience with container orchestration (Kubernetes, Docker).
  • Familiarity with GitHub Copilot or AI-assisted coding.
  • Strong technical documentation and solution storytelling abilities.
  • Agentic Frameworks Dify, Langraph, Copilot Studio, OpenAI SDK

職務内容

Job Responsibilities: 

  • Architect and implement Generative AI and RAG-based solutions using frameworks like LangChain, Llama Index, and Hugging Face.
  • Design LLM-powered systems for knowledge retrieval, automation, and conversational AI use cases.
  • Integrate AI pipelines with existing enterprise applications, APIs, and microservices.
  • Establish prompt engineering, evaluation, and monitoring frameworks to track model performance, drift, toxicity, and data leakage.
  • Implement MLOps best practices for AI lifecycle management — training, deployment, monitoring, and retraining.
  • Define and enforce security, compliance, and governance practices for AI data and model use.
  • Collaborate with cross-functional teams (Data Science, DevOps, Security, Product) to deliver scalable AI products.
  • Lead AI architecture reviews and define standards for performance, observability, and cost optimization.
  • Drive multi-cloud and hybrid deployment strategies using AWS, Azure, and GCP for AI workloads.
  • Provide technical leadership and mentorship to engineering teams, promoting adoption of AI and automation technologies.

 

 

私たちが提供するもの

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

GlobalLogicについて

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive.

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