We are looking for a highly driven AI Engineer who can identify, shape, and deliver AI-powered transformation opportunities across the organization, with a particular focus on Software Engineering and SDLC optimization. This role goes beyond model development and prompt engineering. The ideal candidate will proactively assess business and engineering processes, identify automation and agentic-AI opportunities, build compelling business cases, and deliver measurable outcomes through AI solutions. The successful candidate will be equally comfortable speaking with engineering teams, delivery leaders, architects, and business stakeholders.
Key Responsibilities
AI Opportunity Discovery
Analyze organizational processes and identify high-value AI and automation opportunities.
Assess workflows across engineering, delivery, operations, support, and business functions.
Identify areas where Agentic AI, Generative AI, workflow automation, and intelligent assistants can deliver measurable benefits.
Translate business challenges into AI solution roadmaps.
Engineering & SDLC Transformation
Identify opportunities to improve the software development lifecycle through AI.
Design solutions for:
Requirements analysis
Documentation generation
Code generation
Code review automation
Test case generation
Test automation
Defect prediction
Release management
Knowledge management
Developer productivity improvement
Develop AI-powered engineering accelerators and reusable frameworks.
Agentic AI Solutions
Design and implement AI agents and multi-agent systems.
Build end-to-end solutions using:
LLMs
Agent frameworks
RAG architectures
Knowledge bases




Workflow orchestration platforms
Evaluate and recommend the most suitable AI patterns and technologies for each use case.
Business Value Realization
Articulate the business value of AI investments.
Develop ROI assessments and benefit estimates.
Present recommendations to senior stakeholders.
Drive adoption and change management activities.
Technical Leadership
Provide guidance on AI architecture, governance, and responsible AI.
Establish best practices for AI implementation and operations.
Mentor engineering teams on modern AI techniques and tools.
Technical Skills
Required Skills and Experience
Strong hands-on experience in implementing AI Initiatives across multiple models.
Experience building Generative AI applications using LLMs.
Expertise in:
Agentic AI frameworks
RAG architectures
Vector databases
Prompt engineering
AI orchestration platforms
Experience with cloud AI platforms such as Google Gemini / Claude, Azure, GCP.
Familiarity with DevOps, CI/CD, and SDLC tooling.
Consulting & Solutioning Skills
Proven ability to identify business problems and translate them into AI solutions.
Experience conducting process assessments and opportunity discovery workshops.
Ability to communicate with both technical and non-technical stakeholders.




Robust business case development and value articulation skills.
Ability to challenge assumptions and influence decision-making.
Behavioral Characteristics
Self-starter and highly proactive.
Naturally curious and outcome-oriented.
Strong communication and presentation skills.
Comfortable working independently and driving initiatives.
Ability to hold constructive technical and business discussions with senior stakeholders.
Success Measures
Within The First 12 Months, The Candidate Should
Identify and prioritize AI opportunities across engineering and business functions.
Deliver measurable productivity improvements through AI initiatives.
Implement agent-based solutions that reduce manual effort and cycle times.
Establish reusable AI patterns and frameworks.
Demonstrate tangible business value and ROI from AI investments.
Benefits & Perks
Flexible/hybrid working arrangements.
Health insurance.
Novated Car Lease.
Access to UST Perks (Reward Gateway), which offers discounts across major retailers.
Our commitment to Diversity, Equity and Inclusion
Diversity and Inclusion are among the founding blocks of how UST as an organisation translates its values of Humility, Humanity, and Integrity into practice.
About UST
For more than 25 years, UST has worked side by side with the world's best companies to make a real impact through digital transformation. Together, with over 30,000 employees in 30+ countries, we build for boundless impact and touching billions of lives in the process.
Skills
Data Structures and Algorithms
AWS
Docker
ETL
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📌 Ai Engineer – Agentic Ai & Engineering Transformation (New South Wales)
🏢 Ust
📍 New South Wales