Data Scientist Manager

Data Scientist Manager (Agentic AI & ML Production)

Role Overview

We are looking for a hands-on Data Scientist Manager to lead the development and production deployment of Agentic AI and multi-agent systems for real-world financial services use cases.

This role combines team leadership with deep expertise in designing, orchestrating, and operating AI agents in production environments.

You will drive the end-to-end lifecycle of AI systems from experimentation to scalable deployment while shaping our agentic AI architecture, standards, and roadmap.

Key Responsibilitie

sTeam Leadership & Deliver

• yLead and coach a team of data scientists to build and deploy production-grade AI/ML and Agentic AI system
• sSet technical direction and best practices for building scalable AI solutions aligned with business goal
• sEnsure strong execution across experimentation, deployment, monitoring, and iteratio
• nHire, mentor, and grow talent to build a high-performing AI tea

mAgentic AI & Multi-Agent System

sDesign and deploy multi-agent architectures in productio

nDefine and implement

• :Orchestrator agents and task routing strategie
• sTool-calling frameworks and agent-tool integratio
• nAgent-to-Agent (A2A) communication pattern
• sMCP or equivalent tool-integration protocol

sArchitect systems that combine

• :LLM reasonin
• gdeterministic workflow
• sexternal tools & API
• sstructured data source

sEstablish standards for

• :agent memory (short-term, long-term, vector memory
• )context management and retrieval strategie
• sguardrails and reliabilit
• yevaluation and observabilit

y
Production & MLO

psOversee deployment of AI/ML and agentic systems into producti

onEstablish best practices fo

• r:model lifecycle manageme
• ntprompt & agent versioni
• ngevaluation framewor
• ksmonitoring and alerti
• ngretraining & improvement loo
• psDefine metrics for agent performance, includin
• g:task success ra
• tereasoning quali
• tylaten
• cycost efficien
• cybusiness impa

ctCross-Functional Collaborati

• onPartner with Product, Engineering, Risk, and Business teams to identify high-impact use cas
• esTranslate business problems into agentic AI solutio
• nsAct as a thought partner in shaping AI strategy and roadm
• apSupport regulatory and governance alignment for AI in financial servic

esStrategy & Innovati

• onDrive adoption of modern AI frameworks and infrastructu
• reEvaluate tools, vendors, and architectures for agentic syste

msStay current with industry trends i

• n:Agentic
• AILLM orchestrati
• onAI governan
• cefinancial AI regulati

on
Qualificati

onsExperie

• nce10+ years in Data Science / AI /
• ML2+ years leading or managing a t
• eamProven experience deploying AI systems to product
• ionHands-on experience building agentic AI or LLM-based systems in product

ionTechnical Expert

iseStrong understanding

• of:Multi-agent architectu
• resOrchestrator agent des
• ignTool calling framewo
• rksMCP or equivalent tool integration conce
• ptsAgent-to-Agent (A2A) communicat
• ionMemory systems for age
• ntsEvaluation & monitoring of AI age

ntsExperience wi

• th:LangGraph, LangChain, LlamaIndex or similar framewo
• rksPython,
• SQLCloud platforms (AWS, GCP, et
• c.)MLOps / LLMOps to
• olsVector databases and retrieval syst

emsNice to ha

• ve:Reinforcement learn
• ingGraph-based reason
• ingFinancial domain experience (lending, insurance, investment, virtual banki

ng)Leadership & Communicat

• ionStrong ability to lead technical te
• amsAbility to translate complex AI concepts to business stakehold
• ersExperience driving AI roadmap and execut

ionWhat We’re Looking

ForWe’re looking for someone w

• ho:Has actually shipped agentic AI to product
• ionUnderstands system components, not just mod
• elsCan lead a team while staying hands
• -onThinks in architecture, not just notebo
• oksCan balance innovation with reliabil