Sr Engineering Manager, Applied AI at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Team Management, Enterprise AI Systems, GenAI Apps, AI Agents, Multi-Agent Systems, Architecture, Product Partnership, Frameworks, Guardrails, Safety, Governance, Observability, Cost Optimization, Compliance, LLMs

Industry

Financial Services

Description

Responsibilities: * Lead the design, development, and evolution of Enterprise AI systems, taking it from vision to implementation, enabling production-ready AI capabilities. * Lead and manage a team of software engineers responsible for developing GenAI apps and AI Agents. * Architect multi-agent systems that orchestrate between different models, tools, and data sources * Partner with Product, Research, and Infrastructure teams to define requirements, navigate tradeoffs, and ship multi-quarter initiatives that move core company metrics. * Create frameworks and guardrails that enable fast, safe iteration on agent behavior, evaluation, and rollout. * Embrace and drive a culture of accountability for customer and business outcomes. * Build systems with a product approach for safety and governance: controls, audit ability, and risk management * Provide architectural guidance and establish standards for observability implementations with a strong focus on cost optimization and compliance. * Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery. Required Qualifications, Capabilities & Skills: * 5+ years of experience in software engineering and 2+ years managing software engineering teams. * Have strong technical depth and Architect mindset that enables you to guide architecture, debug complex failures, and make trade-offs for efficiency. * Have experience building distributed systems or high scale systems where reliability matters. * Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies. * Experience with LLMs in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. * Experience with agentic frameworks, runtimes, orchestration and evaluation/benchmarking systems. * Experience with evaluation, experimentation, or model quality measurement systems. * Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure. Preferred Qualifications, Capabilities & Skills: * Experience implementing enterprise-grade governance for agent systems in production autonomous workflows * Experience in building and leading teams in the AI Infrastructure domain - LLM workflows, agentic systems, retrieval and evaluation

Responsibilities

The role involves leading the design, development, and evolution of Enterprise AI systems, taking them from vision to production-ready capabilities, while managing a team focused on developing GenAI applications and AI Agents. Responsibilities also include architecting multi-agent systems and partnering with cross-functional teams to define requirements and ship major initiatives.