AIML Director
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Job Summary
As a Director of AI/ML within the Commercial and Investment Bank you will set the vision and lead the enterprise portfolio for agentic AI that automates and optimizes complex business workflows at scale. You will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systemsleveraging LLMs retrieval-augmented generation and modern agent frameworkswhile instituting governance safety and reliability standards and tracking measurable business outcomes.
Job responsibilities
- Architect develop and productionize autonomous and assistive AI agents to streamline and enhance operations.
- Design multi-agent systems including role definition tool integration planning memory and workflow orchestration using LangChain CrewAI AutoGen ADK and LangGraph.
- Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma including indexing retrieval policies and evaluation.
- Build and integrate agent tools (MCP) and APIs to connect agents with external services databases and internal systems ensuring robust output parsing error handling and retries.
- Design and implement robust evaluation frameworks to systematically assess and measure the performance of AI agents across key operational metrics.
- Practice advanced prompt and context engineering (e.g. Chain-of-Thought ReAct function calling/tool-use prompts) implement output validation and guardrails to reduce hallucinations.
- Deploy scalable AI services to cloud infrastructure ensuring monitoring and observability for agent performance.
- Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing metrics and feedback loops to continuously improve reliability and utility.
- Partner with stakeholders to define requirements design intuitive human-AI interfaces (voice chat) and deliver measurable business impact.
- Analyze data to inform agent capabilities optimize retrieval and drive data-driven decision-making; and performance evaluations.
- Mentor and guide team members on agent frameworks LLM usage safety and best practices.
Required qualifications
MSc/PhD in Computer Science Data Science Machine Learning or related field.
Significant proven experience building and deploying AI applications in large scale production environments.
Experience managing data science teams and couching team members
Proficiency in Python and ML frameworks (PyTorch TensorFlow scikit-learn).
Hands-on experience with agentic frameworks (LangChain CrewAI AutoGen LangGraph ADK).
Experience with generative models (transformers GANs/VAEs; diffusion models a plus).
Strong understanding of data preprocessing feature engineering and evaluation techniques.
Familiarity with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
Strong communication skills for both technical and non-technical audiences.
Preferred qualifications
Experience fine-tuning small language models (SLMs) with LoRA QLoRA DoRA; quantization and distillation a plus.
Familiarity with prompt optimization frameworks (AutoPrompt DSPy) and building evaluation suites.
Experience with distributed computing data sharding and performance optimization.
Hands-on with AWS AI deployment services (SageMaker Bedrock) and workflow orchestration.
Demonstrated experience in financial services particularly investment banking operations.
Required Experience:
Director
Key Skills
- Fundraising
- Management Experience
- Coaching
- Analysis Skills
- Strategic Planning
- Team Management
- Budgeting
- Leadership Experience
- Mentoring
- Public Speaking
- negotiation
- Supervising Experience
About Company
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 ov ... View more
