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Associate Director, Software Engineering Specialist

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

Associate Director, Software Engineering Specialist

at HSBC

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

The Associate Director, Software Engineering Specialist at HSBC leads the research, development, and implementation of advanced Large Language Models and Generative AI techniques. The role involves designing key AI platform components, conducting proof-of-concept projects, and ensuring robust cloud deployment across multiple providers. Collaboration with cross-functional teams is essential to deliver resilient, production-ready AI systems that meet business needs.

Some careers have more impact than others.

If you9re looking for a career where you can make a real impression, join HSBC and discover how valued you9ll be.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Business: Emerging Technology

Principal responsibilities

  • Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.

  • Design and development of one of key group AI platform components- Agent Frameworks-to accelerate AI Agent delivery across the bank.

  • Conduct Proof-of-Concept (POC) and prototyping to explore and validate the feasibility and flexibility of innovative ideas.

  • Design and develop platform capabilities spanning AWS, GCP, Azure, and Alibaba Cloud (Ali) environments, enabling seamless cloud and on-premise AI deployments.

  • Ensure strict adherence to architectural principles, technical standards, security requirements, and the software development life cycle (SDLC).

  • Troubleshoot complex platform issues to ensure successful, high-quality, and resilient AI services in production.

  • Collaborate closely with product teams, engineers, stakeholders, and customers to translate AI capabilities into production-ready systems that meet business needs.

Associate Director, Software Engineering Specialist

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

Associate Director, Software Engineering Specialist

at HSBC

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

The Associate Director, Software Engineering Specialist at HSBC leads the research, development, and implementation of advanced Large Language Models and Generative AI techniques. The role involves designing key AI platform components, conducting proof-of-concept projects, and ensuring robust cloud deployment across multiple providers. Collaboration with cross-functional teams is essential to deliver resilient, production-ready AI systems that meet business needs.

Some careers have more impact than others.

If you9re looking for a career where you can make a real impression, join HSBC and discover how valued you9ll be.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Business: Emerging Technology

Principal responsibilities

  • Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.

  • Design and development of one of key group AI platform components- Agent Frameworks-to accelerate AI Agent delivery across the bank.

  • Conduct Proof-of-Concept (POC) and prototyping to explore and validate the feasibility and flexibility of innovative ideas.

  • Design and develop platform capabilities spanning AWS, GCP, Azure, and Alibaba Cloud (Ali) environments, enabling seamless cloud and on-premise AI deployments.

  • Ensure strict adherence to architectural principles, technical standards, security requirements, and the software development life cycle (SDLC).

  • Troubleshoot complex platform issues to ensure successful, high-quality, and resilient AI services in production.

  • Collaborate closely with product teams, engineers, stakeholders, and customers to translate AI capabilities into production-ready systems that meet business needs.

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