AI Architect GenAI, SLM & AI Practice

Position Overview

We are looking for a hands-on AI Architect who can lead and build our AI/GenAI practice, with a robust focus on designing and developing domain-specific Small Language Models (SLMs) and enterprise AI solutions.

The ideal candidate will have deep practical experience across LLMs, SLMs, RAG, AI Agents, model training/fine-tuning, data engineering and cloud AI platforms. The person should be capable of taking an industry-specific business problem, determining the appropriate AI/model approach, defining the required components, building the model/solution, and taking it into production.

This role requires someone who can architect as well as engineernot just consume existing foundation models or build applications on top of APIs.

Key Responsibilities

1. Lead AI & GenAI Practice
- Define and drive the organization's AI/GenAI technology strategy and practice.
- Establish AI architecture standards, reusable frameworks, accelerators and reference architectures.




- Identify high-value AI opportunities across different industries and customer environments.
- Lead development of AI solutions from ideation PoC model development production deployment.
- Build and mentor AI/ML/GenAI engineering teams.
- Provide technical leadership for AI solutioning, proposals and customer engagements.
- Establish best practices for AI governance, security, evaluation, responsible AI and cost optimization.

2. Domain-Specific SLM Architecture & Development

A key responsibility of this role is to design and build Small Language Models for specific industries/domains.

The candidate should be able to independently determine and define the key components required to build a domain-specific SLM, including:
- Define the business and industry problem that the SLM needs to solve.
- Determine whether an SLM, LLM, RAG or a combination of these is the appropriate approach.
- Define the required model architecture and model size based on the use

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