Lead design and deployment of agentic, generative, and LLM-powered enterprise AI solutions. Define architectures, MLOps pipelines, RAG and prompt engineering, deploy on cloud platforms, establish observability/governance, and mentor AI teams.
This role is for one of the Weekday's clients
Min Experience: 10+ years
Location: Bangalore, Pune, Chennai, Coimbatore
JobType: full-time
We are seeking a forward-thinking AI Architect to spearhead the design and deployment of Agentic AI, Generative AI (GenAI), and Large Language Model (LLM)-powered solutions within enterprise applications. The perfect candidate will connect research with production by establishing AI strategies, architectures, and scalable model pipelines that drive transformative business results.
Requirements
Key Responsibilities:
- Design and architect comprehensive AI systems utilizing LLMs, Generative AI, and Agentic AI frameworks from start to finish.
- Define AI/ML solution architectures, covering data ingestion, model training, orchestration, and deployment on Azure, AWS, or GCP.
- Engage in prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning of both open-source and proprietary LLMs.
- Collaborate closely with Data Scientists, MLOps Engineers, and Software Developers to implement AI solutions in production settings.
- Create and deploy AI agent workflows using frameworks like LangChain, LlamaIndex, Haystack, or Semantic Kernel.
- Promote responsible AI practices with an emphasis on security, compliance, governance, and ethical AI use.
- Establish AI observability and governance frameworks to track model drift, bias, performance, and reliability.
- Assess new GenAI tools, multimodal AI technologies, and Agentic AI features for potential enterprise integration.
- Offer technical leadership and mentorship to AI teams through architecture reviews and the promotion of best practices.
- Lead scalable deployment strategies for enterprise AI applications, including copilots, chatbots, document intelligence, and AI assistants.
Required Skills:
- Over 10 years of software development experience, with a minimum of 4 years focused on AI/ML/Generative AI architecture.
- Advanced proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- In-depth knowledge of transformer-based models including GPT, BERT, T5, LLaMA, Claude, Gemini, and others.
- Demonstrated expertise in LLM integration, prompt engineering, RAG, and vector databases like FAISS, Pinecone, Chroma, and Milvus.
- Practical experience with LangChain, LlamaIndex, Semantic Kernel, OpenAI, or Azure OpenAI services.
- Comprehensive understanding of MLOps pipelines, CI/CD processes, model deployment, and AI infrastructure.
- Experience working with AI platforms such as Azure ML, SageMaker, Vertex AI, or their equivalents.
- Strong familiarity with Docker, Kubernetes, APIs, microservices, and cloud-native architecture principles.
- Proven track record integrating Generative AI solutions into enterprise-level applications.
- Excellent communication, architectural design, stakeholder management, and solution development skills.
Machine Learning
Agentic AI
Generative AI
Good-to-have skillsLLMTensor
FlowPytorch
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