Opportunity at
WiseSenior Engineering Lead - Generative AI Platform
Wise is seeking a Senior Engineering Lead - Generative AI Platform for an on-site position in Hyderabad. In this role, you will lead a team that…
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About This Role
Wise is seeking a Senior Engineering Lead - Generative AI Platform for an on-site position in Hyderabad. In this role, you will lead a team that builds and maintains a platform enabling rapid experimentation and production deployment of Generative AI systems across the organization. Wise operates a global financial infrastructure managing massive daily transaction volumes and data processing. Your work will focus on providing the necessary tooling, guardrails, and guidance…
Job Description
Wise is seeking a Senior Engineering Lead - Generative AI Platform for an on-site position in Hyderabad. In this role, you will lead a team that builds and maintains a platform enabling rapid experimentation and production deployment of Generative AI systems across the organization. Wise operates a global financial infrastructure managing massive daily transaction volumes and data processing. Your work will focus on providing the necessary tooling, guardrails, and guidance to ensure safety, reliability, and security while scaling generative AI capabilities.
This position suits an experienced engineering leader who values automation, programmatic implementation, and reusable design. You will direct the sustainable growth of this technical function, guide engineering leads, and shape multiple teams focused on AI enablement and controls. Responsibilities include running and maintaining services and libraries, establishing effective cloud-based platform management, handling vendor negotiations, and explaining costs to the business.
The role requires deep collaboration, proactive problem-solving, and adherence to high engineering standards. You will partner with product teams to translate concepts into operational production solutions while maintaining high availability, robust observability, and strict adherence to global regulatory requirements.
Responsibilities
- Lead engineering teams building and maintaining a generative AI experimentation and production platform
- Establish tooling, guidance, and guardrails to protect customer data and ensure system safety
- Guide the sustainable growth of the AI enablement and controls function across multiple teams
- Manage and maintain cloud-based services and libraries with a focus on high availability, observability, and service management
- Handle vendor negotiations and articulate financial costs to the business
- Collaborate with product teams to bring generative AI ideas into production
Requirements
- Solid engineering background in Python with years of experience deploying and maintaining production solutions
- Experience deploying microservices to cloud-based systems
- Experience designing distributed and concurrent systems while understanding architectural tradeoffs
- Practical knowledge and experience working with Large Language Models and building LLM applications
- Familiarity with agentic frameworks and the design of agentic workflows
- Understanding of Prompt Engineering best practices
Qualifications
- Experience in Typescript or Javascript, performant UI development, or JS/TS AI frameworks
- Familiarity with the standard Java stack including Spring Boot
- Knowledge of security and privacy principles at both infrastructure and application levels
- Experience with Terraform, GitHub Actions, Infrastructure as Code, and cloud ecosystems like AWS
- Experience using Docker, Kubernetes, and running containerized workloads
- Familiarity with Semantic Search, RAG-based workflows, and MCP servers
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work model for this position?
This position is located in Hyderabad and operates on-site.
What is the employment type?
The posting specifies this is a full-time position.
What is the salary for this role?
The source posting does not specify a salary.
What core technical background is required?
Candidates must have a solid engineering background in Python with experience putting solutions into production, along with knowledge of LLMs, microservices, and cloud-based systems.
Sample Interview Questions
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