Applied AI ML Lead
JPMorgan Chase10 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own technical delivery of applied AI and machine learning solutions from requirements through production support.
- Architect retrieval-augmented generation solutions, including ingestion, segmentation, embedding, indexing, retrieval, reranking, grounding, and relevance tuning.
- Implement tool-enabled agent workflows with orchestration, state management, retries, permissions, guardrails, and observability.
- Define offline and continuous evaluation strategies using curated datasets, human review, and telemetry-driven monitoring.
- Build reusable engineering patterns and reference implementations across teams.
- Drive reliability, performance, latency, and cost improvements through benchmarking, capacity planning, optimization, and post-incident learning.
- Embed security and governance through sensitive-data handling, access controls, auditability, and disciplined model and prompt releases.
- Influence technical direction through design documents and reviews, and coach peers through pairing and best-practice guidance without direct people management.
Requirements
- 8+ years of hands-on software engineering and/or data engineering experience delivering production distributed systems.
- Proficiency in Python and/or Java, including building, testing, and operating production services.
- Experience delivering applied artificial intelligence and/or machine learning solutions to production, including monitoring and iterative improvement.
- Expertise designing retrieval-augmented generation architectures, embedding-based search, retrieval/indexing, reranking, grounding, and quality evaluation.
- Experience building tool-enabled workflow automation with agent-based patterns, orchestration, state management, retries, and safety guardrails.
- Strong data engineering fundamentals, including data quality controls, idempotent pipelines, backfills, and metadata/lineage concepts.
- Experience deploying and operating secure cloud-native services on Amazon Web Services with performance, latency, and cost management.
- Strong communication skills for explaining technical tradeoffs to product and engineering stakeholders.
- Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
- Working knowledge of PyTorch or TensorFlow for partnering on training, fine-tuning, and evaluation.
- Experience automating evaluation and quality gates for applied AI systems, including regression testing, continuous evaluation, and prompt and model versioning.
- Familiarity with responsible AI practices for regulated environments, including documentation, testing, and control-aligned design.
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.