Sr Lead Software Engineer Cloud ML GenAI

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team you are 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering you will lead hands-on architecture development and production deployment of ML and LLM-powered solutions. Youll apply strong engineering practices rigorous experimentation and responsible AI methods to deliver high-impact capabilities for our businesses partnering across a global multidisciplinary team.

Job responsibilities

Design and implement end-to-end ML and LLM solutions from problem framing and data preparation through training evaluation deployment and ongoing optimization.
Apply modern GenAI workflows including prompt engineering techniques tracing evaluations guardrails and safety frameworks to align model behavior with business objectives and risk controls.
Productionize high-quality models and pipelines on public clouds leveraging Kubernetes for container orchestration where appropriate.
Establish robust offline and online evaluation methodologies including intrinsic and extrinsic metrics (e.g. relevance safety latency cost efficiency) and integrate automated testing/monitoring.
Collaborate closely with product platform security controls and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
Document solution designs and decisions; contribute to reusable components patterns and best practices for ML/GenAI in public cloud environments.
Optimize for cost performance and resilience; incorporate data privacy compliance and responsible AI considerations throughout the lifecycle.

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
MS or PhD in Computer Science Data Science Statistics Mathematical Sciences or Machine Learning; strong background in mathematics and statistics.
Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
Hands-on experience with GenAI/LLMs (e.g. GPT Claude Llama or similar) including prompt engineering tracing evaluations and guardrails.
Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.
Extensive experience with ML/DL toolkits and libraries (e.g. Transformers Hugging Face TensorFlow PyTorch NumPy scikit-learn pandas).
Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
Experience designing experiments training frameworks and metrics aligned to business goals.
Expertise with at least one major public cloud (AWS GCP or Azure) and with containerization/orchestration (Docker/Kubernetes).
Strong grounding in data structures algorithms ML data mining information retrieval and statistics.
Excellent communication skills with the ability to engage senior technical and business partners.

Preferred qualifications capabilities and skills

Depth in one or more: Natural Language Processing Reinforcement Learning Ranking/Recommendation or Time Series Analysis.
Additional familiarity with ML frameworks (e.g. PyTorch Keras MXNet scikit-learn).
Understanding of financial services or wealth management domains.
Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS Azure GCP or Kubernetes.

Required Experience:

Senior IC

DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team you are an integral part of an agile ...

Description

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

Job responsibilities

Design and implement end-to-end ML and LLM solutions from problem framing and data preparation through training evaluation deployment and ongoing optimization.
Apply modern GenAI workflows including prompt engineering techniques tracing evaluations guardrails and safety frameworks to align model behavior with business objectives and risk controls.
Productionize high-quality models and pipelines on public clouds leveraging Kubernetes for container orchestration where appropriate.
Establish robust offline and online evaluation methodologies including intrinsic and extrinsic metrics (e.g. relevance safety latency cost efficiency) and integrate automated testing/monitoring.
Collaborate closely with product platform security controls and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
Document solution designs and decisions; contribute to reusable components patterns and best practices for ML/GenAI in public cloud environments.
Optimize for cost performance and resilience; incorporate data privacy compliance and responsible AI considerations throughout the lifecycle.

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
MS or PhD in Computer Science Data Science Statistics Mathematical Sciences or Machine Learning; strong background in mathematics and statistics.
Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
Hands-on experience with GenAI/LLMs (e.g. GPT Claude Llama or similar) including prompt engineering tracing evaluations and guardrails.
Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.
Extensive experience with ML/DL toolkits and libraries (e.g. Transformers Hugging Face TensorFlow PyTorch NumPy scikit-learn pandas).
Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
Experience designing experiments training frameworks and metrics aligned to business goals.
Expertise with at least one major public cloud (AWS GCP or Azure) and with containerization/orchestration (Docker/Kubernetes).
Strong grounding in data structures algorithms ML data mining information retrieval and statistics.
Excellent communication skills with the ability to engage senior technical and business partners.

Preferred qualifications capabilities and skills

Depth in one or more: Natural Language Processing Reinforcement Learning Ranking/Recommendation or Time Series Analysis.
Additional familiarity with ML frameworks (e.g. PyTorch Keras MXNet scikit-learn).
Understanding of financial services or wealth management domains.
Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS Azure GCP or Kubernetes.

Required Experience:

Senior IC

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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