Manager, AI Engineer, AI Scaling and Transformation, Engineering, AI Data, Technology Transformation
Actively Hiring
Full-time $24k Posted 7 days ago
Responsibilities
- check_circle Own the delivery of AI engineering workstreams, ensuring outputs are aligned to client objectives, programme timelines and quality expectations.
- check_circle Work closely with policy, operations and technology stakeholders to understand business challenges and translate them into practical AI solution designs.
- check_circle Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are robust, scalable and secure.
- check_circle Drive the operationalisation of AI solutions using modern engineering practices, including CI/CD, testing, deployment, monitoring and MLOps.
- check_circle Ensure compliance with security, privacy, governance and responsible AI standards, particularly within highly regulated Civil Government environments.
- check_circle Collaborate with architects, data scientists, engineers and business analysts to integrate AI solutions into broader digital and data transformation programmes.
- check_circle Manage stakeholders and contribute to delivery leadership by tracking progress, managing risks and supporting junior team members.
Basic qualifications
- Degree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.
- Proven experience designing, building and deploying AI or machine learning solutions within consulting, public sector or enterprise environments.
- Experience owning technical deliverables or workstreams, managing priorities and coordinating across multidisciplinary teams.
- Strong experience engaging with stakeholders to gather requirements and translate them into scalable technical solutions.
- Experience delivering within regulated or secure environments; candidates must be eligible and willing to obtain or hold security clearance for relevant engagements.
Preferred qualifications
- Strong proficiency in Python or similar programming languages used for AI and data engineering, with hands-on experience building production-grade solutions.
- Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn) and end-to-end model development and deployment.
- Working knowledge of Generative AI techniques, including large language models, prompt engineering, retrieval-augmented generation and evaluation methods.
- Experience with MLOps and engineering best practices, including CI/CD pipelines, model versioning, monitoring and automated testing.
- Experience deploying scalable AI solutions on cloud platforms such as Azure, AWS or GCP, using cloud-native services.
- Strong communication, stakeholder management and problem-solving skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.
Tags & Focus Areas
Remote Ai Ai Engineer Machine Learning Generative Ai
About Deloitte
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