Posted on: 17/07/2026
Desired Qualifications :
Deep Hands On Engineering Expertise :
- Proven experience architecting and building AIpowered solutions, including LLM integration, prompt engineering, RAG patterns, model orchestration, AI pipelines, and responsible AI practices.
- Strong background in cloud?native architectures (containerization, orchestration, CI/CD, DevSecOps) with experience operating systems at enterprise scale.
Principal Level Technical Leadership :
- Demonstrated ability to operate as a technical authority across domains (application, data, AI, platform, security), influencing architecture and engineering standards at an enterprise level.
- Track record of translating ambiguous business problems into scalable, resilient, and future?ready
technical solutions.
- Experience defining long term technology strategy, reference architectures, and engineering roadmaps aligned with business outcomes.
AI & Innovation Mindset :
- Experience embedding AI into core business workflows to drive productivity, risk reduction, customer experience, and operational efficiency.
- Passion for experimentation, rapid prototyping, and data?driven decision?making.
Influence & Communication Excellence :
- Proven success influencing without authority across global, matrixed organizations.
- Recognized as a trusted advisor who can challenge assumptions constructively and elevate technical conversations.
Outside In Perspective :
- Active engagement with external communities (conferences, forums, thought leadership, standards bodies) is highly desirable.
Job Expectations :
Enterprise Technical Stewardship :
- Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise.
- Define and evolve enterprise scale architectures for Java based platforms and AI/GenAI solutions, ensuring alignment with security, risk, and regulatory requirements.
Hands On Leadership :
- Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices.
AI / GenAI Enablement :
- Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions.
- Identify high?value use cases and guide teams from proof?of?concept to production at scale.
Influence & Thought Leadership :
- Mentor senior engineers and architects, raising the overall technical maturity of the organization.
- Foster a culture of engineering excellence, curiosity, and continuous learning.
Outside In Innovation :
- Challenge legacy thinking and advocate for simplification, modernization, and platform thinking.
- Balance innovation with operational stability, risk management, and long term sustainability.
Outcome Driven Execution :
- Partner closely with stakeholders to ensure technology investments deliver durable, enterprise?wide value.
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Posted in
Backend Development
Functional Area
ML / DL Engineering
Job Code
1655291