AI Specialist – Microsoft Azure & Applied AI Engineering
Location: Canberra (Remote with Onsite Client Support as Required)
Clearance Requirement: NV1 clearance
Seers Digital is not just another IT consulting company. We’re one of Australia’s fastest-growing tech firms, partnering with top-tier clients including state and federal government agencies, leading banks, and major utilities. Our mission is to deliver exceptional solutions that truly make an impact and to have fun doing it. At Seers Digital, we help organisations navigate the next shift from digital to AI by delivering enterprise-ready, human-aligned, and secure solutions across the Microsoft ecosystem and beyond.
Our AI specialists work with public and private sector clients to operationalise machine learning, large language models (LLMs), and intelligent agents – all within secure, scalable environments. This is your opportunity to shape how AI is shaped, delivered and governed across enterprise platforms.
Why You’ll Love Working at Seers Digital:
- Exciting Projects: Work on purposeful projects with high-profile clients across government, finance, and utilities
- Great Tech: Help define the future of applied AI and Agentic adoption in enterprise, government, and defence settings
- Career Growth: Ongoing professional development, training, and opportunities to expand your skills.
- Empowered Culture: A dynamic, inclusive and supportive environment where you’re encouraged to own your work, innovate, and excel.
- Great People: Collaborate with talented, like-minded professionals who are passionate about delivering outstanding results.
What’s in it for You:
- Competitive salary and benefits.
- Flexible, hybrid work arrangements.
- Exposure to diverse industries and cutting-edge technology.
- A workplace that values initiative, creativity, and excellence.
Position Summary:
The AI Specialist role is focused on the design, development, and deployment of AI-infused solutions – particularly leveraging Azure Open AI, Microsoft Co-pilot Studio, and on-prem or edge-deployable LLMs. This includes building intelligent assistants, metadata extraction pipelines, and machine learning services that function securely across cloud, hybrid, and air-gapped environments. This role will collaborate closely with the Seers engineering team and client stakeholders to deliver applied AI use cases across sectors such as government, defence, and regulated industries.
Key Responsibilities:
AI Solution Design & Development
- Design and implement AI-powered applications using Microsoft Azure Open AI, Azure ML, Azure Services, Container Apps
- Create intelligent assistants using Copilot Studio, RAG pipelines, and agentic workflows.
- Deploy and optimise models for online and offline/edge use (e.g. NVIDIA Jetson, DDIL networks).
- Work with custom tools and APIs to extend LLM capabilities with real-world utility.
Document Intelligence & Metadata Enrichment
- Build pipelines for AI-driven Auto-tagging, Summarisation, Entity extraction, Metadata generation for search and compliance
- Implement fine-tuned models for custom classification and secure data processing.
Security-Aware & On-Prem Deployment
- Build secure, scalable infrastructure in Azure, hybrid, and on-premises environments.
- Use containerised model serving tools (e.g. BentoML, Triton Inference Server, TGI, ONNX Runtime).
- Work within classified environments and follow security protocols for deploying AI tools.
DevOps & Engineering Integration
- Integrate AI services into broader application platforms or automation pipelines.
- Version control (Git/Azure DevOps) and deployment pipelines for repeatability and governance.
- Deliver technical documentation, demos, and training for clients and stakeholders.
Key Skills & Experience:
- 3+ years of software/ML engineering, including real-world deployments.
- Awareness of Open-source models (e.g., LLaMA, Mistral, Microsoft Phi, Whisper, YOLO)
- Understanding of model quantisation and optimisation (GGUF, GPTQ, BitsAndBytes, etc.).
- Knowledge of document processing, vector databases, and secure ingestion pipelines.
- Solid Python engineering skills and experience with ML/AI serving frameworks.
Desirable Experience
- Experience working in classified or secure IT environments.
- Experience building and deploying LLMs in cloud and offline settings.
- Knowledge of DDIL (Disconnected, Degraded, Intermittent, Limited) environments.
- Familiarity with compliance and governance requirements in regulated industries (e.g., defence, healthcare).
- Use of NVIDIA CUDA, TensorRT, and containerised inference workflows.
Clearance Requirements:
•Baseline clearance required
•NV1/NV2 preferred for working on government/defence projects
•Must be an Australian Citizen
Preferred Certifications:
•Microsoft Certified: Azure AI Engineer Associate
•Microsoft Certified: Azure Developer Associate
•DeepLearning.AI - Deep Learning Specialisation (or equivalent)