AI Engineer developing intelligent automation solutions to improve financial advice accessibility. Collaborating with stakeholders and AI partners to deliver practical automation and AI solutions.
Responsibilities
Design, build, and support intelligent automation solutions across advice processes
Work with stakeholders to identify inefficiencies, define problems, and package them into clear intelligent automation or AI initiatives
Develop and enhance intelligent automation using platforms such as Automation Anywhere and Power Automate
Contribute to AI use cases as they emerge, including prompt engineering, RAG solutions, AI assisted testing, and AI agents
Prototype and test AI ideas to validate feasibility, value, and risk before scale
Document solutions and share knowledge to help uplift AI capability and thinking across the business
Requirements
3+ years of experience in AI/ML engineering, data science, or intelligent automation roles
Experience working across enterprise automation platforms
Familiarity with cloud-based AI services (Azure, AWS, GCP)
Hands on experience developing AI applications including the use of open and closed source AI model hosting, training, prompt engineering, retrieval augmented generation (RAG) and vector database development
Strong proficiency in languages such as Java (including Kotlin), JavaScript and Python
Expertise in relational databases (MySQL, Postgres), NoSQL (MongoDB, Cassandra) and Vector enabled databases (Elastic Search, VectorPG)
Strong problem-solving and collaboration skills
Comfortable working in agile, iterative environments
Must have active Power Automate RPA Developer Associate (Exam PL-500) and/or Azure AI Engineer Associate certification
Benefits
Opportunity to execute scaled intelligent automation
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