Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Microsoft Azure Architecture, Solution Architecture, Large Language Models (LLMs), AI Agents & Workflow Integration, Azure AI Foundry, Azure Ar
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Architect, your day involves designing and structuring advanced language models capable of understanding and generating human-like text. You will focus on creating neural network configurations that efficiently process vast amounts of unstructured text data. Collaborating with various teams, you will ensure that the architecture supports scalable and effective natural language processing solutions, driving innovation in language understanding technologies. Your role is pivotal in shaping the foundational frameworks that enable intelligent language-based applications and services.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and refinement of architectural standards to ensure consistency and quality across projects.
- Mentor junior team members by sharing expertise and guiding their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Architecture, Solution Architecture, AI Agents & Workflow Integration, Large Language Models (LLMs).
- Strong experience in designing scalable cloud-based architectures tailored for artificial intelligence workloads.
- In-depth understanding of neural network design principles and natural language processing techniques.
- Ability to integrate AI agents and workflows seamlessly within enterprise environments.
- Expertise in managing and optimizing large-scale data processing pipelines for training language models.
- Familiarity with security, compliance, and performance considerations in cloud AI deployments.
Must have knowledge In:
Azure AI Foundry, Azure Architecture best practices (Well-Architected)
End-to-end solution design for AI/ML workloads
Azure Landing Zones, security and networking design
Stakeholder management, estimation, insurance domain
Additional Information:
- The candidate should have minimum 15 years of experience in Microsoft Azure Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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