AI Agents Applied Research/Engineering Lead - Executive Director
JPMorgan Chase7 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration.
- Fine-tune and optimize LLMs using parameter-efficient fine-tuning, distillation, and quantization for production latency, memory, and cost constraints.
- Apply reinforcement learning and preference optimization to improve personalization and dialogue policies.
- Scale LLM systems through caching, batching, prompt governance, and evaluation frameworks.
- Implement privacy, safety, security, PCI compliance, jailbreak-resistance, and auditability controls.
- Design rigorous experiments with strong baselines and meaningful metrics.
- Define and track agent-performance metrics including task completion, accuracy, latency, and customer satisfaction.
- Set a technical research agenda and drive initiatives from concept through production deployment.
- Partner with Product, Engineering, Design, and Risk teams to bring AI systems to market.
- Present research findings and technical strategy to senior leadership and non-technical stakeholders.
Requirements
- Ph.D. with 8+ years or M.S. with 12+ years building and deploying AI systems in production.
- Applied generative AI experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation.
- Experience scaling LLM systems with caching, batching, governance, and evaluation.
- Strong foundation in machine learning, deep learning, statistical modeling, and experimental design.
- Experience with information retrieval, including indexing, ranking, and retrieval, and/or recommendation systems.
- Proficiency in Python and ML frameworks including PyTorch or TensorFlow, Hugging Face, and scikit-learn.
- Preferred: 5+ years developing conversational AI, virtual assistants, or LLM-based systems in production.
- Preferred: experience with multi-agent orchestration, supervisor agents, and specialized toolkits.
- Preferred: expertise in agent governance, red-teaming, adversarial testing, and safety evaluation.
- Preferred: experience with reinforcement learning, bandit algorithms, DPO, IPO, data collection, labeling, and evaluation pipelines.
- Preferred: MLOps/LLMOps experience with monitoring, versioning, A/B testing, rollbacks, and CI/CD.
- Preferred: data-driven product development, experimentation, publications in top-tier AI/ML venues, and/or open-source contributions.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location, plus potential incentive compensation for eligible roles; specific compensation details are not stated.
- Benefits may include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Additional compensation and benefits details are provided during the hiring process.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.