Lead Software Engineer at JPMC Candidate Experience page

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, JAX, LLMs, Hugging Face, LangChain, LlamaIndex, RAG, Vector Databases, Kubernetes, Docker, Prompt Engineering, Cybersecurity, Model Optimization, Transformer Architectures

Industry

Financial Services

Description

As Lead Security Engineer, you will design and optimize large-scale AI/ML platforms and LLM-powered applications. Key Responsibilities * Architect and deploy state-of-the-art LLM architectures (e.g., GPT, LLaMA, Mixtral) using techniques like LoRA and RLHF for domain-specific tasks. * Develop advanced prompt engineering strategies and orchestrate LLM-powered applications using frameworks like LangChain or LlamaIndex. * Design and manage data pipelines for collection, cleaning, and preparation of high-quality datasets. * Implement Retrieval-Augmented Generation (RAG) systems, managing vector databases and embedding models. * Build and maintain scalable, secure inference pipelines while continuously monitoring for model drift. * Apply optimization techniques such as quantization and pruning to improve model efficiency. * Ensure all AI solutions meet cybersecurity standards and compliance requirements. * Stay current with advancements in NLP, transformer architectures, and generative AI research. Required Skills * Formal Training or certification with 5+ years of experience in high-impact AI capabilities for enterprise environments. * Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX). * Strong understanding of transformer architectures, LLMs, and Hugging Face ecosystem. * Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, SKLearn, Pandas, Flask, and React. * Experience with cloud-based ML platforms (AWS Sage Maker, Google Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes). * Hands-on experience designing and deploying RAG systems using Lang Chain, Llama Index, Pinecone, or Faiss. * Expertise in secure model deployment, access control, and data governance. * Excellent leadership, communication, and collaboration skills. Preferred Skills * Experience with multi-modal AI integration and advanced optimization techniques. * Familiarity with CI/CD pipelines, automation tools, and frontend frameworks. * Certifications in AI/ML, cloud platforms, Kubernetes, or cybersecurity. * Advanced degree (master’s or PhD) in Computer Science, AI, Data Science, or related field. * Exposure to regulated industries and compliance frameworks. 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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Responsibilities

The role involves designing and optimizing large-scale AI/ML platforms and LLM-powered applications, including architecting and deploying state-of-the-art LLM architectures using techniques like LoRA and RLHF. Key tasks include developing prompt engineering strategies, managing data pipelines, implementing RAG systems, and ensuring all AI solutions meet cybersecurity standards.