AI Architect

Posted 4 Days Ago
Be an Early Applicant
4 Locations
In-Office
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
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.
Summary Generated by Built In

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.
Must-have skills

Machine Learning

Agentic AI

Generative AI

Good-to-have skills

LLMTensor

FlowPytorch

Skills Required

  • 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
  • Expertise in LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases (FAISS, Pinecone, Chroma, Milvus)
  • Practical experience with LangChain, LlamaIndex, Semantic Kernel, Haystack, 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, or Vertex AI
  • 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 (Must-have)
  • Agentic AI (Must-have)
  • Generative AI (Must-have)
  • LLMTensor (Good-to-have)
  • FlowPytorch (Good-to-have)
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The Company
0 Employees
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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