AI Platform Lead / Infrastructure Architect
The role
We are looking for a AI Platform Lead / Infrastructure Architect to own the architecture, scaling, and cross-functional integration of our AI systems. This role is both strategic and hands-on. You will lead the buildout of a resilient AI platform that ingests and transforms complex data, integrates with backend systems (including Java and MongoDB), and supports agentic workflows powered by LLMs—where AI agents plan, reason, and act through toolchains. You will have the freedom and resources to plan and experiment the edge technologies on real world corporate environments.
Responsibilities
· Architect and manage scalable, cloud-native AI infrastructure on AWS
· Lead end-to-end data flow orchestration: scraping, ingestion, processing, storage
· Coordinate technical efforts across teams (AI, backend/Java, frontend, DevOps)
· Integrate and optimize MongoDB-based data layers for structured and unstructured data
· Design and implement agentic AI workflows using LLMs and tool-calling frameworks
· Establish best practices for API design, model deployment, and monitoring
· Ensure high availability, fault-tolerance, and security of AI services
· Guide architectural decisions on frameworks, infrastructure, and scaling strategies
Requirements
· 6+ years of experience in AI/ML engineering, cloud systems architecture, or data platform leadership
· Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
· Strong experience with AWS services (e.g., EC2, S3, Lambda, ECS/EKS, CloudWatch, IAM)
· Proven ability to architect and scale production-grade AI/data systems
· Proficiency in Python (and preferably working with Java-based teams)
· Experience with agentic AI systems: e.g., LangChain, Autogen, or custom tool-chaining LLM pipelines
· Deep familiarity with MongoDB and API integrations
· Strong understanding of ETL workflows, orchestration, and data validation
· Excellent coordination and communication skills across tech domains
Bonus Points
· Hands-on with open-source AI agents, tool-use orchestration, or knowledge graphs
· Experienced with retrieval-augmented generation (RAG) systems for graph data
· Background in compliance, RegTech, or enterprise data applications
What We Offer
- A central leadership role shaping the core of our AI platform
- Full ownership of infrastructure design and implementation on AWS
- Fast-moving, collaborative team culture
- Competitive compensation in a fast growing company.
How to Apply
Send your CV, GitHub (if available), and a brief note about your most impactful AI infrastructure project to: [email protected].