STIC Soft
Artificial Intelligence Architect at STIC Soft · Hybrid -…
Skills
Job Description
About the Role: We are looking for an experienced and visionary AI/ML Architect to lead the design and deployment of advanced AI solutions, with a strong emphasis on Generative AI and Agentic AI systems. This role is ideal for someone who thrives at the intersection of strategy, architecture, and hands-on developmentespecially within the Microsoft ecosystem.
Key Responsibilities:
- Architect and implement end-to-end AI/ML solutions using Microsoft Azure, including Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services
- Design Agentic AI systems using frameworks such as LangChain, Autogen, and LangGraph to enable autonomous multi-agent workflows
- Build Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search, Azure Cosmos DB, and pgvector for context-aware LLM applications
- Lead the fine-tuning, evaluation, and deployment of LLMs (GPT, Phi, Orca, etc.) using Azure ML, MLflow, and Hugging Face on Azure
- Implement LLMOps practices for model lifecycle management using GitHub Actions, Azure DevOps, and Terraform
- Collaborate with data engineers to build scalable data pipelines using Azure Data Factory, Synapse Analytics, and Databricks on Azure
- Integrate AI capabilities into enterprise applications via Power Platform, Microsoft Teams, and Dynamics 365 using Copilot Studio and AI Builder
- Ensure AI systems comply with GDPR, HIPAA, and Microsoft Responsible AI principles
- Communicate complex AI concepts to technical and non-technical stakeholders
- Mentor and guide technical teams on GenAI and Agentic AI best practices
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
- 8+ years of experience in AI/ML solution architecture, with proven delivery of production-grade systems
- Deep expertise in machine learning, deep learning, NLP, and Generative AI
- Hands-on experience with LLMs (GPT, Phi, Orca, etc.) and agentic frameworks (LangChain, Autogen, LangGraph)
- Strong proficiency in Python and experience with PyTorch, TensorFlow, Keras, and DSPy
- Familiarity with Azure AI stack including Azure OpenAI, Azure ML, Azure AI Search, and Power Platform
- Experience with vector databases and RAG architectures
- Solid understanding of LLMOps, MLOps, and DevOps practices using Microsoft tools
- Excellent communication and leadership skills
Preferred Qualifications:
- Experience with Copilot Studio, AI Builder, and Power Automate
- Familiarity with LangGraph, OpenAI Function Calling, and Toolformer-style architectures
- Exposure to multi-modal AI using Azure Cognitive Vision and Speech Services
- Contributions to open-source AI/ML projects or published research in GenAI
Why Join Us: This is a unique opportunity to shape the future of autonomous intelligent systems within the Microsoft ecosystem. You’ll be at the forefront of innovation, building solutions that think, reason, and act—bringing the power of GenAI and Agentic AI to life across enterprise platforms. Role & responsibilities
Preferred candidate profile