AI Engineering Consultant
Quick Summary
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years,
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
About the Role
~1 min readWe are seeking an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization. This role will contribute to the delivery of next-generation AI capabilities including Generative AI, Agentic AI, and AI-powered Digital Solutions.
The successful candidate will work with business stakeholders, architects, and engineering teams to transform innovative AI concepts into scalable production-grade solutions. This role requires expertise in AI platform engineering, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), MLOps, cloud-native development, and enterprise AI governance.
The role will be instrumental in establishing AIA's AI engineering standards, reusable frameworks, and solution accelerators that enable responsible, scalable, and business-focused AI adoption across the enterprise.
Responsibilities
~1 min read- →Design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.
- →Develop reusable AI services, APIs, SDKs, and accelerators to accelerate AI adoption across business units.
- →Conduct evaluations, benchmarking, and optimization of AI models, prompts, and agentic workflows
- →Develop integrations between AI agents and enterprise applications, APIs, databases, and business processes.
- →Design and implement enterprise AI engineering platforms and MLOps frameworks.
- →Help establish enterprise standards for AI engineering, GenAI development, and Agentic AI governance.
Requirements
~1 min read- Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines.
- 5+ years of experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
- 3+ years of hands-on experience deploying AI/ML solutions into production environments.
- Proven experience delivering GenAI, MLOps, or AI platform solutions in enterprise settings
Knowledge and experience in Python, Azure, Databricks, Kubernetes, etc.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
Location & Eligibility
Listing Details
- Posted
- August 25, 2026
- First seen
- August 25, 2026
- Last seen
- August 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- August 25, 2026
Signal breakdown
Please let aia know you found this job on Jobera.
3 other jobs at aia
View all →Explore open roles at aia.
Similar Consultant jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.