AI Architect
Job Title: AI Architect
Level: Senior / Principal
Employment Type: Full-time
Experience: 8+ Years
Location: Islamabad
Role Overview
We are seeking a high-level AI Architect to serve as a Senior Solution Architect for our real-time automation and intelligence ecosystem. This role is both strategic and hands-on at the architectural level, acting as a technical mentor and trusted advisor to engineering teams.
You will be responsible for defining and evolving the enterprise architecture that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
Key Responsibilities
Solution Mentorship & Technical Leadership
Act as a technical authority and mentor for engineering teams
Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
Review designs and implementations to ensure architectural consistency and technical excellence
Architecture & Gap Analysis
Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
Design and propose robust, enterprise-grade architectural improvements
Define target-state architectures aligned with long-term business and AI strategy
System Orchestration & Integration
Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
Ensure seamless, reliable data flow across heterogeneous enterprise systems
Define standards for system interoperability, resilience, and observability
AI/ML Infrastructure & Enablement
Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
Enable large-scale automation, intelligent decisioning, and near-real-time inference
Ensure architectures support model lifecycle management, scalability, and performance
Technical Governance & Quality
Ensure architectural designs align with industry standards, security requirements, and scalability goals
Provide high-level design documentation, reference architectures, and technical blueprints
Support roadmap definition and continuous architectural evolution
Technical Requirements
Expert-level experience with distributed systems, including:
Real-time stream processing
Distributed storage platforms
Low-latency analytical databases
Proven experience designing enterprise-scale, high-throughput data architectures
Strong background in event-driven and real-time processing ecosystems
Experience supporting AI/ML platforms, data fabrics, and automation frameworks
Demonstrated ability to translate complex technical challenges into scalable architectural solutions
Leadership & Soft Skills
Strong mentorship and coaching experience with senior engineering teams
Ability to influence architectural direction across multiple teams and stakeholders
Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
Strategic mindset with a focus on long-term platform evolution
Nice to Have
Experience with cloud-native and hybrid architectures
Exposure to MLOps, DataOps, or platform engineering practices
Experience in regulated or large enterprise environments
Why Join
Shape the architectural foundation of advanced AI and automation platforms
Influence enterprise-scale technical decisions with long-term impact
Work in a senior, high-visibility role with strong ownership and autonomy