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A leading tech firm is seeking a Senior AI Solution Architect to join their innovative team. This remote role involves designing scalable AI infrastructures and collaborating with cross-functional teams to deliver AI solutions. The ideal candidate has over 7 years of experience, a strong foundation in Gen AI, and is proficient in Python and Azure.
Remote Opportunity : Senior Gen AI / AI Solution Architect
Job overview and responsibilities
Type : Full-time, 100% Remote
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 aSolution Architect, ideally with deep hands-on involvement inGen AI / AI / ML implementation projects.
Proven experience deploying AI infrastructure and applications inAzure(preferred), with bonus points forAWSorGCPknowledge.
Proficient inPythonand familiar with other languages like Java, Scala, or C#.
Strong understanding ofAI systems, including training, evaluation, inference, RAG, guardrails, and prompting strategies.
Experience withMLOps / LLMOps / AIOps,DevOps(e.g., Docker, Jenkins), andmicroservices architecture.
Exposure toGraphQL, API design, and security best practices.
Familiar with agile methodologies such asSCRUMand tools likeJIRAorTrello.
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