Lead Backend Engineer

As a Technical Lead in our Team, you’ll work closely with the Automation Delivery
Director, Tech Area Architect and the Divisional squads set to design, build and deliver
world class Automation and AI solutions within Automation Centre. You will be responsible
for creating Solution Designs, hands-on development and end to end delivery of AI
initiatives by partnering with Operations, Technology and Vendor partners.

What will your day look like?

As a Technical Lead, you will:

• Work closely with the Process Discovery Managers and the Tech Area Architect in
performing feasibility assessments and arrive at target AI solutions for an end-to-end
business process.
• Work with cross-functional squads, technology and vendor partners in identifying and
implementing automation solutions.
• Prepare both High level and Low-level solution designs in accordance with the ANZ
Delivery Framework, project sizing and mobilize resourcing and people.
• Guide and train team members on best practices, conduct code reviews, engineering
guardrails, troubleshoot and resolve technical complexities and issues during the
development and implementation journey.
• As part of governance, establish and run engineering guilds to ensure design and
development is in accordance with the technology standards.
• As a lead, you will have engineers reporting into you and ensures regular check-ins,
career and growth plans documented and builds high performing teams.

Must Have:
- Bachelor’s degree or master’s in computer science or data science engineering with
an experience of > 12 years in the Design and Development of AI/ML Solutions.
- Hands-on experience in Deep Learning concepts and development including
Generative AI, Prompt Engineering, Machine Learning algorithms, RAG, LLMs,
Evaluation techniques and AI offerings on Cloud (GCP, Azure, AWS)
- Hands-on programming skills in languages such as Python and Java, API
Development and Integration, DevOps, Monitoring and Observability, Deployment
experience on serverless architecture and on cloud platforms, version control.
- Proven experience as a Technical Lead or have played a similar role in large
Automation and AI projects.

Good to have:
 Database Management: Knowledge of database management systems (DBMS) like
SQL, NoSQL, and their integration with automation tools.
 User Interface (UI) Design: Skills in designing intuitive and user-friendly interfaces
for automation solutions to improve user experience.