AI Engineer at Deloitte

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, M&A, Machine Learning, Data Science, Python, SQL, NoSQL, MLOps, DevOps, Fast API, Microservices, React, Collaboration, Ethics, Cloud Technologies, Containerization

Industry

Business Consulting and Services

Description

Job Requisition ID: 39274 Do you have expertise in AI and an interest in M&A?  At Deloitte we are building and scaling a suite of AI powered products to speed up M&A due diligence, origination and deal execution. You’ll leverage the latest technology to design, build, and productionise AI assets that help teams interrogate data rooms, extract and validate insights from structured/unstructured documents, and generate client-ready outputs. What will your typical day look like? As a technical AI expert, you’ll provide hands-on expertise and thought leadership to: Build: Design and implement AI assets for M&A workflows, leveraging state-of-the-art models and techniques. Orchestrate: Develop agentic pipelines (tools + orchestration) that combine structured extraction, RAG, validation, and reasoning with citations and confidence scoring. Evaluate & Safeguard: Create test sets, scoring harnesses, bias/safety checks, and regression suites to ensure robustness of prompts and workflows. Serve & Scale: Build containerized services with CI/CD pipelines, monitoring, and reliable deployment across dev/test/prod. Observe: Implement tracing, latency/accuracy dashboards, and prompt/version management frameworks for ongoing optimization. Collaborate: Partner with M&A practitioners, engineers, and security teams to turn ambiguous requirements into stable, scalable products. Research & Innovate: Stay at the forefront of Generative AI trends, experiment with new techniques, and contribute to Deloitte’s knowledge base. Lead: Mentor junior data scientists/engineers and guide integration of generative models into data pipelines. About the team Our team specialises in delivering analytically driven insights to guide clients through complex M&A transactions, providing them with a competitive edge. We bring together professionals from diverse fields including commerce, finance, mathematics and consulting, fostering a dynamic and collaborative working environment. Enough about us, let's talk about you. In this role, you’ll play a pivotal part in shaping AI products that accelerate M&A decision-making. We are looking for ambitious AI professionals with a passion for re-imagining workflows and building production-ready solutions that integrate people, processes, and technology: A minimum 7 years relevant work experience in the development of market leading machine learning and AI products A degree in Data Science/Computer Science or a related field is preferred Applied experience moving AI use cases into production preferably in an enterprise environment Strong software engineering foundation/credentials including building production APIs (Fast API preferred), microservices, event-driven design and concurrency/async patterns Expert knowledge of Python and data science/AI libraries and frameworks Fluency in data querying and manipulation using cloud-based SQL and NoSQL database technologies Experience in utilising modern MLOps/DevOps approaches to manage and deploy models/applications at scale on Azure (preferred), AWS or GCP Familiarity with frontend development (React) would be advantageous Excellent interpersonal skills and a collaborative mindset Strong ethical grounding in data usage and AI implementation Join Deloitte’s M&A Analytics team and help shape the future of M&A transactions with AI driven products that provide real value to our clients. 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 support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.  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.    Next Steps Sound like the sort of role for you? Apply now, we'd love to hear from you!   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.  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.

Responsibilities

As an AI Engineer, you will design and implement AI assets for M&A workflows and develop pipelines that combine structured extraction and validation. You will also collaborate with M&A practitioners and engineers to create scalable products.