Senior Manager / AI Architect Brisbane, Australia

Bridging executive strategy with technical excellence.

I am a Senior Manager and AI Architect. I connect enterprise strategy and responsible AI with practical engineering—from data and document systems to computer vision at the edge.

Dr. Muhammad Zohaib Jan
StrategyGovernanceDelivery
15+ Years across complex, regulated sectors
5 Industry environments, one enterprise lens
PhD Artificial intelligence and image processing
Enterprise AI Strategy Data Platforms Responsible AI Enterprise Architecture Transformation Leadership Executive Advisory Enterprise AI Strategy Data Platforms Responsible AI

An enterprise leader who retains deep technical credibility.

Dr. Muhammad Zohaib Jan brings more than 15 years of international experience across consulting, financial services, enterprise technology, higher education and research.

He works at the intersection of business strategy and technical execution—helping organisations adopt AI responsibly, modernise enterprise data capabilities and deliver complex transformation programmes.

His leadership approach combines commercial awareness, governance and people development with the technical depth to challenge architecture decisions, guide practitioners and translate emerging technology into sustainable business outcomes.

Follow the career journey
01

Set the direction

AI and data strategy, transformation roadmaps, investment choices and executive advisory.

02

Govern with confidence

Responsible AI, privacy, information governance, risk and high-assurance delivery.

03

Build the capability

Multidisciplinary teams, technical recruitment, mentoring and delivery leadership.

04

Deliver the value

Enterprise architecture, data platforms and practical AI with measurable outcomes.

From boardroom priorities to delivery reality.

A career built across industries where trust, sound judgement and technical rigour matter.

Leads a multidisciplinary, distributed AI and Data pod providing technical assurance for a major financial-services transformation.

Advises across data assurance, information governance, privacy and enterprise architecture, while contributing to AI and Data proposals, solution approaches and implementation roadmaps.

  • People leadership across onshore and offshore teams
  • NDA-safe financial-services data assurance
  • AI, data and architecture subject-matter advice

Led enterprise data-platform, AI, analytics, architecture and governance work in a regulated environment, with responsibility for people, partners and capability building.

Managed strategic technology relationships and contributed to platform investment, licensing, architecture and vendor decisions.

  • Enterprise data and AI capability leadership
  • External partner and vendor governance
  • Responsible AI and information governance

Provided technical leadership on strategically significant, high-assurance AI research and development across computer vision, edge AI and synthetic data.

Guided delivery, mentored engineers and worked across multidisciplinary research and engineering teams.

  • High-assurance AI research and delivery
  • Computer vision, edge AI and synthetic data
  • Technical risk, mentoring and hiring support

Earlier roles span higher education and applied research, banking technology, software engineering, project delivery and team leadership.

This cross-sector foundation continues to shape a pragmatic approach to enterprise technology—grounded in how people, operations and systems actually work.

  • Higher education and applied AI research
  • Banking integration and software delivery
  • International and cross-cultural experience

Evidence over adjectives.

Selected capabilities across enterprise transformation and public reference applications.

Field Notes Studio · Audio and photo reporting

Audio+Photos

Turn field observations into editable reports.

Reference applications combine transcription, photo observations and Word exports. A reviewer checks the transcript and observations before generating a report.

Public reference applications

Enterprise AI · Reusable capability

Reusable AI architecture and delivery patterns

From isolated experiments to repeatable delivery.

Helped establish reusable AI capability to support prototype delivery, governance and consistency across teams.

Document AI · Evidence review

Process quality earlier information checks

Using language models to improve process quality.

Public examples use synthetic records to demonstrate missing-information checks and grounded evidence review.

Financial services · Data assurance

Assurance where privacy and trust are non-negotiable.

Leads assurance across structured and unstructured information moving between enterprise environments, with emphasis on classification, privacy, redaction and appropriate information transfer.

Strictly NDA-safe

Architecture you can inspect.

Source code, design decisions and validation notes across edge vision, document AI and data platforms.

Jetson Edge Vision, FieldWise, Vision Training Hub and Synthetic Data Generation for YOLO are fresh portfolio reference implementations recreated from high-level project ideas. They contain no employer or client source code, and do not reproduce historical deployment results.

Concept illustration of an edge computing board, camera and vehicles with detection boxes

01 · New reference implementation

Jetson Edge Vision

C/C++ · DeepStream · GStreamer · ZeroMQ

A YOLO metadata pipeline with first-run TensorRT engine caching, custom GStreamer elements and a browser console. Includes a synthetic simulator; Jetson hardware validation is pending.

Inspect edge architecture
Concept illustration of highlighted engineering manuals and drawings connected to a central retrieval component

02 · New reference implementation

FieldWise RAG Assistant

Python · SQLite FTS5 · FastAPI · OpenAI

Versioned engineering-document retrieval, inspectable source passages, abstention and a synthetic evaluation set. Runs locally with extractive answers; generated answers are optional.

Inspect retrieval and evaluation

03 · Public engineering project

Snowflake AI App Framework

Snowflake · Streamlit · Containers

Application scaffolding, deployment templates and operational helpers for AI applications on Snowflake.

Explore the framework

04 · Public engineering project

Local Document Redaction

Python · OCR · FastAPI

A local document-redaction MVP with synthetic fixtures, image-only PDF verification and documented security boundaries.

Explore the redaction pipeline

05 · Public engineering project

PDF Sensitive Data Scanner

Python · PDF processing

Document scanning code with setup instructions and explicit limitations for detecting potentially sensitive content.

Explore the scanner

06 · Research code

Ensemble Learning Research

MATLAB · Optimisation · Classification

An entry point into the MATLAB research collection, with paper context, dependencies and reproducibility notes.

Explore research code
Screenshot of the React training portal in read-only preview mode with labelled sample jobs

07 · New reference implementation

Vision Training Hub

React · FastAPI · YOLOv8 · MLflow

A training portal with validated image datasets, a persistent job queue, available-GPU scheduling, background training and MLflow tracking. Includes a tested simulation mode; real GPU training validation is pending.

Explore training orchestration Open read-only portal preview
Concept illustration · not a generated result

08 · New reference implementation

Synthetic Data Generation for YOLO

React · FastAPI · Stable Diffusion · YOLO

A dataset studio for scenery uploads, object references, prompt-guided variations and human-reviewed YOLO exports. Includes deterministic placement and source-scene splits; real GPU generation validation is pending.

Explore synthetic data generation Open read-only studio preview
Browse the full project and research directory

Research with an applied edge.

Machine learning, computer vision, explainable AI and enterprise applications—published across recognised IEEE, ACM and international venues.

Google Scholar
2023

Systematic review · Enterprise AI

Artificial intelligence for Industry 4.0: applications, challenges and opportunities

01
2020

IEEE Transactions · Ensemble learning

A novel method for creating an optimised ensemble classifier

02
2018

Computer vision · Applied deep learning

A convolutional neural network technique for identifying road attributes

03
2022

Healthcare AI · Multimodal systems

An intelligent multimodal biometric authentication model for personalised healthcare

04
2024

Optimisation · Ensemble learning

Classifier ensemble learning using discrete optimisation

05

Making complex technology useful to decision-makers.

A regular university guest speaker, Zohaib shares practical perspectives on enterprise AI, leadership and the journey from research to responsible organisational value.

AI strategy beyond the prototype Leading technical teams at enterprise scale Responsible AI in regulated environments From research insight to operational value
Discuss a speaking opportunity
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Effective technology leadership means building capable teams, asking informed questions and maintaining a clear line of sight to business value.

Leadership philosophy

Connect

Let’s turn ambitious ideas into governed, practical outcomes.

For executive opportunities, advisory conversations, research collaboration and speaking enquiries.