**Description:** Year of Exp- 12+ Years Location- Bangalore **Requirements:** 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 **Job Responsibilities:** **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. **What We Offer:** **Exciting Projects:** We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. **Collaborative Environment:** You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! **Work-Life Balance:** GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. **Professional Development:** Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. **Excellent Benefits:** We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. **Fun Perks:** We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!