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AI Engineer – Agentic AI & Engineering Transformation
UST —Sydney NSW
- Hybrid work
- Azure
- Management
- DevOps
- Health insurance
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Cloud & DevOps Engineer
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- Full-time
- Hybrid work
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- Analysis skills
- Parental leave
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- $150,000 - $180,000 a year
- Full-time
- Hybrid work
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- From $130,000 a year
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- Full-time
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Senior Engineer - Cross Collections Search
University of Melbourne —Parkville VIC
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- No degree
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Macquarie Group Limited —Sydney NSW
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Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst
Accenture —Melbourne VIC
- Full-time
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Macquarie Group Limited —Sydney NSW
- Full-time
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- Management
- DevOps
- Annual leave
- Work from home

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AI Engineer – Agentic AI & Engineering Transformation

UST -
Sydney NSW

Quick Apply

Job Details

Benefits

Health insurance

Qualifications

CI/CD
Azure
Management
DevOps
Data structures
Test automation
Google Cloud Platform
Databases
Business development
AWS
Docker
Release management
AI
Communication skills
SDLC

Full Job Description

Role description

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.

Required Skills and Experience

Technical Skills

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.
Strong 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—touching billions of lives in the process.

#LI-BM

Skills

Data Structures and Algorithms, AWS, Docker, ETL

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Quick Apply

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