Remote Opportunity : Senior Gen AI / AI Solution Architect
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 (preferred), with bonus points for AWS or GCP knowledge.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.