AI Solution Engineer

About the Team & Mission

The Data and Applied Sciences Research team pioneers AI and machine learning innovationsdeep learning, NLP, LLMs/GPT, graph models, chatbots, and more—pushing the boundaries of technology and integrating AI into our product suite to deliver transformative advancements.

Role Overview

As a Cloud, Security & AI Solutions Engineer, you will design, build, and secure modern cloud and AI-powered solutions. You’ll work with Azure infrastructure, automation, identity, security, and GenAI/OpenAI systems, collaborating with cross-functional teams to deliver fast, quick experiments to understand the experience.

AI, GenAI & Automation

• Build and integrate AI-powered solutions using Azure OpenAI Service and other Microsoft AI platforms.
• Develop, fine-tune, and deploy GenAI models (e.g., GPT-4, Codex) for business scenarios.
• Implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering, and agentic solution stacks.
• Develop automation scripts and workflows (PowerShell, Python, Logic Apps, GitHub Actions) to streamline operations and accelerate delivery.

Identity, Security & Compliance

• Implement and manage identity and access controls (Azure AD, RBAC, SSO).
• Support secure authentication/authorization and apply security best practices for cloud and AI workloads.
• Participate in vulnerability analysis, incident response, and remediation of security bugs.

Data, Dashboarding & Application Development

• Extract and analyze data from sources like KQL, SQL, cloud storage, and APIs.
• Ensure reporting and analysis accuracy; deliver rapid PoCs using open source or Microsoft tools

Required Skills & Qualifications

• Above 3 years of experience in software/cloud/AI engineering roles.
• Hands-on experience with Azure resource management, automation, and monitoring.
• Familiarity with GenAI systems (e.g., GPT-4, Azure OpenAI Service), prompt engineering, and AI integration.
• Experience with scripting (Python, PowerShell) and infrastructure-as-code (ARM, Bicep, Terraform).
• Proficiency in any programming language, preferably Python or C#.
• Experience with SQL, NoSQL, or cloud platforms such as Azure.
• Familiarity with visualization APIs like Streamlit or similar tools for dashboard creation.
• Solid understanding of REST APIs.
• Understanding of identity protocols (OAuth, SAML, OpenID Connect), RBAC, and security best practices.
• Strong teamwork, documentation, and communication skills.
• Demonstrated adaptability and comfort working amid ambiguity and evolving priorities.
• Ability to rapidly iterate, learn from feedback, and refine solutions to meet dynamic business needs.
• Strong problem-solving skills and resourcefulness in addressing challenges with limited direction.