Generative AI Architect (IRC281230) at GlobalLogic
Listed by DevShelfHub
About the Role
Enterprise GenAI adoption requires visionary architects who can design scalable, production-grade solutions—and GlobalLogic, a Hitachi Group Company, is hiring a Generative AI Architect in Gurgaon to lead this transformation. This role designs, implements, and scales enterprise-grade GenAI solutions leveraging LLMs, RAG systems, Agentic AI frameworks, and end-to-end LLMOps pipelines.
With 10–15 years of experience required (minimum 6 years in AI/ML and 2 years in Generative AI), this is a senior architecture role driving AI innovation at scale.
What you'll do
- The Generative AI Architect will design technical strategy and architecture for enterprise GenAI solutions.
- Architect scalable GenAI solutions leveraging LLMs, RAG, fine-tuning, embeddings, and vector databases
- Design and operationalize LLMOps pipelines covering prompt management, evaluation, monitoring, and continuous improvement
- Architect and build Agentic AI systems including autonomous agents, copilots, and task orchestration layers that reason, plan, and act dynamically
- Integrate GenAI components (models, APIs, knowledge bases, orchestration layers) into existing enterprise systems
- Build reusable frameworks for copilots, chatbots, and AI agents with focus on scalability and modularity
- Define governance and compliance for responsible AI use ensuring model security, bias control, and data protection
- Lead end-to-end AI lifecycle from proof of concept to production deployment and post-deployment optimization
- Collaborate cross-functionally with data scientists, ML engineers, and business teams
- Mentor teams on LLMOps, Agentic AI architectures, prompt optimization, and AI observability
- Evaluate and integrate emerging GenAI and Agentic AI tools, open-weight models, and API ecosystems
What we're looking for
- Minimum 10 years with 6 years in AI/ML and at least 2 years in Generative AI
- Deep understanding of LLMs, Agentic AI, RAG pipelines, prompt engineering, fine-tuning, and multimodal AI
- Hands-on experience with LangChain, LlamaIndex, Haystack, Semantic Kernel, or equivalent
- LLMOps: prompt lifecycle management, model evaluation, A/B testing, observability (Helicone, Traceloop, LangFuse, Phoenix)
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This architect role offers the opportunity to lead enterprise GenAI transformation at a global digital engineering leader.
- Architect scalable GenAI solutions leveraging LLMs, RAG, fine-tuning, embeddings, and vector databases
- Design and operationalize LLMOps pipelines for prompt management, evaluation, and monitoring
- Architect and build Agentic AI systems including autonomous agents, copilots, and task orchestration layers
- Integrate GenAI components into existing enterprise systems
- Build reusable frameworks for copilots, chatbots, and AI agents
- Define governance and compliance for responsible AI use
- Lead end-to-end AI lifecycle from proof of concept to production deployment
- Mentor teams on LLMOps, Agentic AI architectures, and AI observability
- Evaluate and integrate emerging GenAI and Agentic AI tools
- Work on exciting projects with global brands in High-Tech, healthcare, retail, and telecom
- Collaborative environment with flexible work schedules and professional development
About GlobalLogic
- Industry
- Technology
- Company Size
- 500+
- Website
- globallogic.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 10–14 years
- Location
- Gurgaon, India (On-site)
- Work Mode
- WFO
- Category
- AI / ML
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