Generative AI Engineer

Job Summary

We are seeking a highly skilled and self-motivated AI Engineer to join us as we establish our AI Center of Excellence (CoE). As an early team member, you will play a critical role in shaping the foundation, strategy, and implementation of AI and ML solutions across the organization. This role offers a unique opportunity to work at the forefront of AI innovation, contribute to impactful use cases, and collaborate with cross-functional teams to build intelligent agentic systems.

You will work with both Microsoft technologies (Copilot Studio, AI Foundry, Azure OpenAI) and open-source frameworks to design, deploy, and manage enterprise-ready AI solutions.

Key Responsibilities

a. Design, develop, and deploy AI agents using Microsoft Copilot Studio and AI Foundry.

b. Build and fine-tune machine learning models for NLP, prediction, classification, and recommendation tasks.

c. Conduct exploratory data analysis (EDA) to extract insights and support model development.

d. Implement and manage LLM workflows, including prompt engineering, fine-tuning, evaluation, deployment, and monitoring.

e. Utilize open-source frameworks such as LangChain, Hugging Face, MLflow, and RAG pipelines to build scalable, modular AI solutions.

f. Integrate AI solutions with business workflows using APIs and cloud-native deployment methods.

g. Use Azure AI services, including AI Foundry and Azure OpenAI, for secure and scalable model operations.

h. Contribute to the creation of an AI governance framework, including Responsible AI principles, model explainability, fairness, and accountability.

i. Support the creation of standards, reusable assets, and documentation as the CoE grows.

j. Collaborate with engineering, data, and business teams to define problems, build solutions, and demonstrate value.

k. Stay up to date with emerging AI capabilities such as Model Context Protocol (MCP), Agent-to-Agent (A2A) frameworks, and Agent Communication Protocols (ACP), and proactively evaluate opportunities to integrate them into enterprise solutions.

Required Qualifications

· Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.

· 5+ years of experience in AI, machine learning, or data science with production-level deployments.

· Strong foundation in statistics, ML algorithms, and data analysis techniques.

· Hands-on experience building with LLMs, GenAI platforms, and AI copilots.

· Proficient in Python, with experience using libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow, and Transformers.

· Experience with Microsoft Copilot Studio, AI Foundry, and Azure OpenAI.

· Working knowledge of open-source GenAI tools (LangChain, Haystack, MLflow).

· Understanding of cloud deployment, API integration, and version control (Git).