Senior Consultant AI and Data

Deloitte Services Pty Ltd; Sydney; On-site; AUD 70,000 - 97,000; Full time

Benefits offered by this job

Mentoring programs

progressive leave policies

Diversity & inclusion

Wellbeing and parental leave

Flexible working options

Volunteer days

Job summary

Deloitte Services Pty Ltd is seeking an AI Engineer to design, build, deploy and support AI-enabled software applications that solve client problems and deliver measurable value at scale. You will work across the full AI software development lifecycle, focusing on Python-based applications, AI agents, automation and cloud deployment.

You’ll partner with internal teams and clients to translate business needs into robust technical solutions, ensuring governance, safety and quality throughout

Qualifications

• Experience designing and building production AI agents on Databricks.
• Production-grade agentic software engineering with tested, maintainable code across agents and tooling.
• Developing secure data retrieval interfaces (MCP servers) for client systems.
• Implementing guardrail, safety, and content-moderation middleware for customer-facing AI.
• CI/CD and deployment automation with Azure DevOps and Databricks Asset Bundles, MLflow versioning.
• Building LLM evaluation and QA frameworks for hallucination detection and trustworthiness.
• Performance and latency optimization to meet SLAs.

Responsibilities

• Design, develop, test, and deploy AI-enabled software systems for clients from architecture to production.
• Write production-quality Python code with tooling and interfaces for client integrations.
• Translate business requirements into technical designs for medium-to-high complexity tasks.
• Build guardrail and governance components ensuring reliable, secure applications.
• Develop automated testing and quality-assurance frameworks against defined metrics.
• Manage CI/CD lifecycles with Azure DevOps and Databricks Asset Bundles.
• Monitor performance, latency, and operating costs to meet targets.
• Provide technical guidance and communicate progress with stakeholders.

Skills

AI agents on Databricks

Agentic software engineering

MCP servers interfaces

Guardrail middleware

CI/CD automation

LLM evaluation QA

Performance optimization

Technical communication

Tools

Databricks

Azure DevOps

MLflow

LangGraph

Job description

• Mentoring, coaching and leadership programs to help you make an impact that matters
• Access progressive leave policies for wellbeing, reproductive health and fertility support
• Belong to a workplace that values diversity, equity and inclusion

We’re looking for an AI Engineer to design, build, deploy and support AI-enabled software applications that solve real client problems and deliver measurable business value at scale.

In this role, you’ll work across the full AI software development lifecycle - from requirements analysis and solution design through to production deployment, optimisation and ongoing support. You’ll apply strong software engineering fundamentals to develop reliable, secure, performant and maintainable systems, with a particular focus on Python-based applications, AI agents, automation and cloud deployment.

You’ll partner closely with internal teams and client stakeholders to translate business needs into robust technical solutions, while ensuring governance, safety and quality are embedded throughout delivery.

What will your typical day look like?

• Design, develop, test, and deploy software applications and AI-enabled software systems for clients, working to an agreed solution architecture and taking solutions from proof-of-concept through to production.
• Write robust, production-quality Python code, including supporting tooling, integrations, and interfaces that extend application functionality against client systems.
• Analyse and evaluate client and business requirements, translating them into technical designs and implementation plans for medium-to-high complexity tasks.
• Develop and implement guardrail, safety, and governance components to ensure applications behave reliably, securely, and in line with compliance requirements.
• Build and maintain automated testing, evaluation, and quality-assurance frameworks to measure and continuously improve system quality against defined metrics.
• Manage the continuous integration and continuous deployment (CI/CD) lifecycle using Azure DevOps and Databricks Asset Bundles, ensuring deployments are repeatable, auditable, and stable.
• Monitor, troubleshoot, and optimise application performance, latency, and operating cost to meet defined service-level and user-experience targets.
• Maintain and support deployed systems in production, diagnosing issues and implementing fixes and enhancements across the application lifecycle.
• Liaise directly with internal teams and client stakeholders to gather requirements, provide technical guidance, and communicate solution designs and progress.
• Proactively identify technical improvements and lead their implementation, documenting designs, code, and processes to support maintainability.

Enough about us, let’s talk about you.

You may be a strong fit for this role if you have experience in:

• Designing and building production AI agents on Databricks using LangGraph (intent routing, multi-turn state management, tool orchestration)
• Production-grade Agentic Software engineering - tested, maintainable code across agents, tooling, and integrations
• Developing MCP servers and tool-calling interfaces for secure data retrieval against client systems
• Implementing guardrail, safety, and content-moderation middleware for customer-facing AI
• CI/CD and deployment automation with Azure DevOps and Databricks Asset Bundles, with MLflow versioning and monitoring
• Building LLM evaluation and QA frameworks (hallucination detection, response accuracy, trustworthiness)
• Performance and latency optimisation of production systems to meet SLAs (~17s - 2-3s)
• Client-facing technical communication - architecture walkthroughs, blocker reports, and stakeholder alignment.

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction - whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.

The minimum salary requirement for this role is between $70,000 - $97,000.

By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.