Job description
<p><b>About the role : </b></p><p><br/></p><p> We are seeking seasoned and hands-on AI Solution Architects to design and build the next generation of intelligent applications.
You will be the critical link between groundbreaking AI experimentation and enterprise-ready, scalable solutions.
Your expertise will not only shape our technical architecture but also accelerate the adoption of AI and MLOps practices across the business, turning innovative concepts into tangible value.<br/><br/><b>Key Responsibilities : </b><br/><br/>1.
Architect & Design : Craft scalable, modular, and secure solution architectures for Generative AI, LLM-based applications, and traditional ML models within our ecosystem.<br/><br/>2.
Bridge AI & Engineering : Translate complex data science models and AI capabilities into production-grade systems, ensuring reliability, performance, and compliance.<br/><br/>3.
Drive MLOps Excellence : Lead the adoption and refinement of our MLOps platform, establishing robust patterns for CI/CD, containerization, model monitoring, and automation to streamline the end-to-end AI lifecycle.<br/><br/>4.
Lead & Mentor : Provide technical leadership to implementation teams, guiding them on best practices, design patterns, and the effective use of our AI and MLOps toolchain.
Act as a mentor to data scientists and engineers.<br/><br/>5.
Collaborate & Enable : Work closely with Product Management to refine the product vision and with cross-functional teams (including front-end developers using React/TypeScript) to deliver integrated, full-stack solutions.<br/><br/>6.
Ensure Operational Integrity : Design and implement APIs, data flows, and observability pipelines (logs, metrics) to ensure system health, security, and efficient usage tracking.<br/><br/><b>Core Skills & Qualifications : </b><br/><br/>1.
5+ years of experience in a solution architecture, technical lead, or hands-on architect role with a focus on AI/ML systems.<br/><br/>2.
Deep expertise in the Microsoft Azure ecosystem, including : <br/><br/>- AI/ML Services : Azure OpenAI, Azure ML, Azure AI Services<br/><br/>- Development & DevOps : Azure Functions, Azure DevOps (CI/CD), Azure Key Vault<br/><br/>- Data & Storage : Cosmos DB, Data Factory, AI Search<br/><br/>3.
Strong proficiency in Python for scripting, backend APIs (e.g., FastAPI, Flask), and task automation.<br/><br/>4.
Proven experience with LLM integration and agentic AI (e.g., using OpenAI SDK, designing multi-step flows, tool integration).<br/><br/>5.
Solid foundation in MLOps principles and tools such as MLflow, Databricks, and containerization (Docker, Kubernetes).<br/><br/>6.
Demonstrable experience in API design, management, and building loosely coupled, service-oriented architectures.<br/><br/>7.
Excellent communication skills with the ability to align technical solutions with business goals and mentor team members.<br/><br/><b>Nice-to-Have (Differentiators) : </b><br/><br/>1.
Experience or knowledge of emerging AI regulations (e.g., European AI Act).<br/><br/>2.
Certified Scrum Master with experience facilitating agile ceremonies and driving sprint execution.<br/><br/>3.
Full-stack awareness, with the ability to collaborate effectively with front-end teams (React, TypeScript, JavaScript).<br/><br/>4.
Hands-on experience with AI/ML frameworks like TensorFlow or Scikit-learn.<br/><br/>5.
A passion for staying at the forefront of AI technology, especially in the realms of Agentic AI and SLMs/LLMs.</p> (ref:hirist.tech)
Required Skill Profession
Computer Occupations