Aws Solution Architect Senior

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.