Manager, AI Engineer, AI Scaling and Transformation, Engineering, AI Data, Technology Transformation
Actively Hiring
Full-time $24k Posted 1 day ago
Responsibilities
- check_circle Own the delivery of AI engineering workstreams, ensuring solutions are designed, built and delivered in line with client objectives, timelines and quality expectations.
- check_circle Work closely with client stakeholders to understand operational challenges and translate them into scalable AI and data-driven solution architectures.
- check_circle Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.
- check_circle Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.
- check_circle Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly within highly regulated and secure environments.
- check_circle Collaborate with architects, data scientists, engineers and business analysts to integrate AI solutions into broader enterprise systems and delivery programmes.
- check_circle Manage stakeholders and contribute to delivery leadership activities, including reporting 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 in a consulting, public sector or enterprise technology environment.
- Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both business and technical stakeholders.
- Demonstrated ability to translate business requirements into technical solutions and deliver measurable outcomes.
- Experience working within secure or regulated environments is advantageous; candidates must be eligible and willing to obtain or hold security clearance as required for client 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 practical implementation of model development and deployment.
- Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.
- Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.
- Experience deploying AI solutions on cloud platforms such as Azure, AWS or GCP, using cloud-native services for scalability and resilience.
- Strong stakeholder management, communication and problem-solving skills, with the ability to explain technical concepts and influence both technical and non-technical audiences.
Tags & Focus Areas
Remote Ai Ai Engineer
About Deloitte
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