Gen AI (Architect)

ALIQAN Technologies

11h•Remote

About The Position

We are seeking a highly experienced AI Architect to define the vision, architecture, and data strategy for enterprise-scale Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) platforms. As a senior leader, you will own the end-to-end architectural design, lead advanced data modeling efforts, and ensure systems operate under a robust, governance-first framework. Beyond technical leadership, this role is highly client-facing; you will act as a trusted advisor to understand clients' strategic challenges, design innovative AI/Data solutions, and drive business growth.

Requirements

12-15+ years of industry experience, with a proven track record as a Data/AI Architect or Solution Architect.
Deep expertise in Data Modelling and Data Engineering, specifically with Medallion architectures (Bronze, Silver, Gold layers) and data warehousing.
Strong consulting and client-facing skills, with experience in pre-sales, solutioning, and driving business growth.
Proven experience designing and architecting production-grade GenAI and RAG systems.
Mastery of AI Data Governance, data lineage, and data quality frameworks.
Hands-on architectural experience with cloud platforms (Azure, AWS, GCP) and Azure AI Services.
Background in API design, distributed systems, MLOps, and observability.
Strong awareness of Responsible AI, security, and compliance regulations.

Responsibilities

Client Advisory & Business Development Work directly with client stakeholders and executives to deeply understand their business problems and translate them into scalable AI and Data solutions.
Actively identify opportunities to expand our footprint, driving new business and account growth through strategic consulting and solutioning.
Lead technical discussions, formulate proposals, and present architecture roadmaps to clients.
Architecture & Data Modelling Design and own the reference architectures for enterprise GenAI, RAG platforms, and underlying data ecosystems.
Lead comprehensive Data Modelling initiatives. Specifically, architect and extend the client's Silver Data Model (within a Medallion architecture) to ensure data is cleansed, conformed, and optimized for downstream AI, embedding, and analytics workloads.
Define the blueprint for end-to-end lineage across data ingestion, vectorization, prompt execution, and AI outputs.
Data Quality & Governance Strategy Define enterprise-wide data governance standards, usage policies, and quality gates for AI workflows.
Architect quality and control frameworks to detect data drift, hallucinations, and low-confidence outputs, ensuring systems degrade gracefully or block responses when trust thresholds are violated.
Bridge the gap between regulatory governance requirements and technical architectural controls.
Team Leadership & Mentorship Provide architectural oversight and technical mentorship to Leads (B3), Senior Engineers, and data teams.
Collaborate with enterprise security, platform, and data engineering teams to ensure seamless delivery.
Establish best practices for MLOps, CI/CD, and observability in production GenAI systems.