AI Developer at Wealth Management designing and deploying generative AI models into production. Collaborating with teams and optimizing model performance in cloud - native architectures.
About the role
- AI Engineer responsible for designing and developing cognitive data solutions for Quantanite, focusing on AI-based platforms and data extraction from unstructured sources.
Responsibilities
- Implement Architecture and design from definition phase to go-live phase.
- Work with the business analyst and SMEs to understand the current landscape priorities.
- Define conceptual and low-level model of using AI technology.
- Review design to make sure design is aligned with Architecture.
- Handson development of AI lead solution
- Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc.
- Integrate with multiple system using API or Web Services or data exchange mechanism
- Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications
- Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management
- Owning research assignments and development
- Leading, developing and assisting developers & other team members
- Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project
- Define and deliver against the solution benefits statement
- Positively and constructively engage with clients and operations teams’ efforts where required.
Requirements
- A Bachelor's degree in Computer Science, Software Engineering, or a related field
- Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills
- 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW.
- Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure.
- Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc.
- Proficient in programming languages like Python (Full Stack exposure)
- Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs
- Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store
- Experience in implementing and deploying applications on Azure.
- Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification.
- Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git
- Experience with different development methodologies (RUP | Scrum | XP)
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work effectively in a fast-paced environment
- Ability to lead and motivate cross-functional teams
- High personal resilience
- High achievement orientation
- Work experience in IT Outsourcing and/or Business Process Outsourcing companies is a big plus.
Benefits
- Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements.
- Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion.
- Events: Regular team and organisation-wide get-togethers and events.
- Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together.
- Future development: At Quantanite, youʼll have a personal development plan to help you improve in the areas youʼre looking to develop in over the coming years.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Staff AI Engineer responsible for AI integration and project leadership at fintech startup. Leading technical standards and driving architecture for innovative developer tools.
Staff AI Engineer leading AI engineering initiatives at SpotOn, focusing on innovative software development methods in the fintech industry.
Staff AI Engineer leading AI - native engineering practices for fintech development. Driving technical direction and architecture with a focus on AI code generation and automation.
Data - AI Engineering Intern supporting data engineering and AI initiatives at Berkshire Hathaway GUARD Insurance Companies. Collaborating with Senior Data Engineers to build and maintain data pipelines and AI features.
Manager in Oracle data and analytics at PwC analysing complex data systems and encouraging innovation. Leading teams and mentoring junior staff while driving project success.
AI Engineer developing innovative AI solutions that drive business transformation for PwC clients. Analyzing complex problems and mentoring junior team members in AI technologies and cloud infrastructure.
Senior Agentic AI Engineer focusing on LLM - based systems and design of agentic architectures for a dynamic international company. Collaborating across departments to enhance AI integration and automation efforts in digital entertainment.
AI Engineer responsible for developing AI agents, tools, and machine learning models at IPFS. Focused on enhancing data accessibility and driving innovation across the IPFS ecosystem.
Lead AI automation strategy for Customer Service at Spotify by shaping AI agents' behavior and outcomes. Collaborate with cross - functional teams to ensure effective, safe, and trustworthy AI experiences.