SR Principal Software Engineer - LLM Engineering

We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.

As a Senior Principal Software Engineer at JPMorganChase within the Commercial & Investment Bank Trust & Safety Fraud Prevention team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances.

Job responsibilities

• Advises and leads on the strategy, architecture, and development of Model serving solutions for different model architectures including LLMs & GNNs, across cloud and on‑premises environments, aligning initiatives to business outcomes.
• Defines and implements MLOps and LLMOps strategies for end‑to‑end model lifecycle management, including training, versioning, deployment, monitoring, and governance.
• Drives optimization of Model inferencing for high throughput and low latency using quantization, model parallelism, intelligent batching, and hardware acceleration for all model architectures
• Creates durable, reusable software and platform frameworks to standardize ML Engineering services, enabling scale across teams and functions.
• Establishes best practices for automation, CI/CD, and infrastructure‑as‑code using containerization and orchestration technologies.
• Partners closely with data science, platform engineering, and SRE teams to productionize the models on AWS, ensuring observability, reliability, and cost efficiency.
• Leads deployment and optimization using Model Inference servers such as Triton Inference Server and vLLM for high‑throughput, low‑latency serving at scale.
• Oversees production operations for AI workloads, including monitoring, incident response, security, and compliance, with continuous improvement.
• Translates highly complex technical concepts and emerging trends into actionable strategies for executive and product leadership.
• Influences senior stakeholders and cross‑functional partners to prioritize and deliver AI/ML capabilities that drive measurable business impact.
• Promotes the firm’s culture of diversity, opportunity, inclusion, and respect across teams and communities.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years of applied experience.
• 8+ years of AI/ML engineering experience with significant expertise in LLMs, GNNs and other model architectures (e.g., GPT, Llama, Falcon, Mistral).