Job description

Remote Opportunity: Azure Solutions Architect (100% remote) Job overview and responsibilities Type : Full-time, 100% Remote Language : English (Fluent) Seniority : Senior / Lead Domain : Artificial Intelligence | Generative AI | Solution Architecture Are you ready to shape the future of AI in a greenfield environment? Join a newly formed, high-impact AI innovation team dedicated to delivering real-world value using cutting-edge technologies—fast, securely, and ethically. This is a unique opportunity to help build a world-class Gen AI ecosystem from the ground up in a startup-like setting, backed by a global enterprise. Key Responsibilities • Architect and Build : Design and implement scalable, secure, and modular AI infrastructures and services—including Gen AI, ML, and LLMOps components. • Collaborate Cross-Functionally : Partner with product managers, designers, engineers, and security teams to deliver AI-enabled solutions aligned with business and compliance requirements. • Champion Responsible AI : Ensure all AI solutions are built with robust security, ethical standards, and regulatory guardrails from day one. • Drive Innovation : Take ownership of solution design and execution. Lead pilot implementations and scale successful prototypes into full production systems. • Stay Ahead : Monitor the latest trends in AI/ML, Gen AI, cloud platforms, and MLOps to continuously improve platforms and processes. • Promote Agility : Work in an agile, fast-paced environment that values experimentation, impact, and speed. Education & Experience • 7+ years of experience as a Solution Architect , ideally with deep hands-on involvement in Gen AI / AI / ML implementation projects . • Proven experience deploying AI infrastructure and applications in Azure , with bonus points for AWS or GCP knowledge. Desired skills: • Proficient in Python and familiar with other languages like Java, Scala, or C#. • Strong understanding of AI systems , including training, evaluation, inference, RAG, guardrails, and prompting strategies. • Experience with MLOps / LLMOps / AIOps , DevOps (e.G., Docker, Jenkins), and microservices architecture . • Exposure to GraphQL , API design, and security best practices. • Familiar with agile methodologies such as SCRUM and tools like JIRA or Trello . • Fluent in english.

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