Get alerts for new jobs matching your selected skills, preferred locations, and experience range. Manage Job Alerts
9.0 - 14.0 years
30 - 45 Lacs
noida, south goa, hyderabad
Hybrid
Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.
Posted 1 day ago
9.0 - 14.0 years
30 - 45 Lacs
pune, bengaluru, mumbai (all areas)
Hybrid
Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.
Posted 1 day ago
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Accenture
54024 Jobs | Dublin
Wipro
24262 Jobs | Bengaluru
Accenture in India
18733 Jobs | Dublin 2
EY
17079 Jobs | London
Uplers
12548 Jobs | Ahmedabad
IBM
11704 Jobs | Armonk
Amazon
11059 Jobs | Seattle,WA
Bajaj Finserv
10656 Jobs |
Accenture services Pvt Ltd
10587 Jobs |
Oracle
10506 Jobs | Redwood City