DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Execute creative software solutions design development and technical troubleshooting for AIenabled applications.
- Develop secure highquality production code; review and debug SDK and service integrations.
- Identify and automate remediation of recurring issues to improve reliability of AI features and services.
- Lead evaluation sessions with vendors and internal teams on model capabilities safety and integration patterns.
- Lead communities of practice to share prompt engineering evaluation methods and SDK best practices.
- Add to team culture of diversity opportunity inclusion and respect.
- Build and ship AIpowered features using Vertex AI base models (e.g. Gemini) including prompt design function calling and SDK/REST integrations.
- Finetune and deploy models; manage Model Registry and rollout across environments (online/batch inference).
- Implement input/output safety (guardrails moderation) and comprehensive LLM usage logging/monitoring.
- Integrate DialogFlow API and Vertex AI Search with grounding to reliable sources and source attribution.
Required qualifications capabilities and skills
Preferred qualifications capabilities and skills
- Experience with Vertex AI Search Vector Search and RAG patterns for grounding and retrieval.
- Familiarity with DialogFlow conversational orchestration and enterprise integration.
- Strong API design eventing and observability (metrics tracing logging) for AI services.
- Knowledge of Gemini model families and safety configuration options.
- Understanding of cost management and spend alerting for AI workloads.
- Familiarity with Florence/Atlas 2.0 enablement roadmap and controls.
Required Experience:
IC
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office youare an integral part of an agile team that works to enhance build and deliver t...
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Execute creative software solutions design development and technical troubleshooting for AIenabled applications.
- Develop secure highquality production code; review and debug SDK and service integrations.
- Identify and automate remediation of recurring issues to improve reliability of AI features and services.
- Lead evaluation sessions with vendors and internal teams on model capabilities safety and integration patterns.
- Lead communities of practice to share prompt engineering evaluation methods and SDK best practices.
- Add to team culture of diversity opportunity inclusion and respect.
- Build and ship AIpowered features using Vertex AI base models (e.g. Gemini) including prompt design function calling and SDK/REST integrations.
- Finetune and deploy models; manage Model Registry and rollout across environments (online/batch inference).
- Implement input/output safety (guardrails moderation) and comprehensive LLM usage logging/monitoring.
- Integrate DialogFlow API and Vertex AI Search with grounding to reliable sources and source attribution.
Required qualifications capabilities and skills
Preferred qualifications capabilities and skills
- Experience with Vertex AI Search Vector Search and RAG patterns for grounding and retrieval.
- Familiarity with DialogFlow conversational orchestration and enterprise integration.
- Strong API design eventing and observability (metrics tracing logging) for AI services.
- Knowledge of Gemini model families and safety configuration options.
- Understanding of cost management and spend alerting for AI workloads.
- Familiarity with Florence/Atlas 2.0 enablement roadmap and controls.
Required Experience:
IC
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