AI Engineering Lead
at
McMillan Shakespeare Group (MMS)
victoria, Victoria, Australia
-
Full Time
Start Date
Immediate
Expiry Date
24 Jan, 27
Salary
45000.0
Posted On
26 Oct, 26
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
Description
Design, build, test and deploy AI, machine learning and generative AI solutions aligned to business priorities and approved architecture.
Develop Co-pilot, AI assistants, agents and intelligent automation that improve customer and employee outcomes, productivity and decision-making.
Translate business problems into practical AI use cases, technical requirements, solution designs and delivery plans.
Build retrieval-augmented generation solutions, prompt and orchestration patterns, APIs and integrations with enterprise applications and data platforms.
Partner with Data Engineering to source, prepare and manage reliable data for AI solutions, including appropriate quality, access and lineage controls.
Apply software engineering, DevOps and MLOps practices including version control, automated testing, CI/CD, deployment, observability and support documentation.
Work with Cyber Security, Privacy, Risk and AI Governance stakeholders to ensure solutions meet organisational policies, standards and regulatory obligations.
Responsibilities
Design, build, test and deploy AI, machine learning and generative AI solutions aligned to business priorities and approved architecture.
Develop Co-pilot, AI assistants, agents and intelligent automation that improve customer and employee outcomes, productivity and decision-making.
Translate business problems into practical AI use cases, technical requirements, solution designs and delivery plans.
Build retrieval-augmented generation solutions, prompt and orchestration patterns, APIs and integrations with enterprise applications and data platforms.
Partner with Data Engineering to source, prepare and manage reliable data for AI solutions, including appropriate quality, access and lineage controls.
Apply software engineering, DevOps and MLOps practices including version control, automated testing, CI/CD, deployment, observability and support documentation.
Work with Cyber Security, Privacy, Risk and AI Governance stakeholders to ensure solutions meet organisational policies, standards and regulatory obligations.
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