The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead AI application development.
Responsibilities
Lead AI agent development, architecture, and deployment using
GenAI platforms ,
microservices ,
advanced NLP/NLU , and
intelligent bot interactions , leveraging
script tools .
Architect and build
autonomous AI systems
for problem-solving and decision-making, ensuring seamless and secure integration with enterprise systems via
robust APIs .
Implement secure, scalable
data storage
for conversational AI using
diverse databases (MongoDB, SQL, NoSQL) , adhering to
data governance policies .
Develop highly
resilient systems
with
advanced error handling ,
fault tolerance , and
intelligent routing .
Drive
GenAI thought leadership , integrating
emerging platforms (Gemini, Claude, GPT)
and research, while staying current with the
latest technologies and trends .
Deliver
end-to-end Agentic AI solutions , focusing on
Python backend services (FastAPI, asyncio) ,
secure REST APIs , and
robust data pipelines , applying
fundamental programming principles .
Optimize
AI agent performance, latency, and cost
through
profiling, caching strategies , and
distributed system optimization .
Establish
CI/CD practices
for
automated testing ,
agent evaluation ,
cloud-native deployment , and ensure
code quality
through
reviews and peer programming .
Collaborate extensively with
cross-functional teams
and
stakeholders
to gather requirements, brainstorm solutions, deliver high‑quality software, and consult on
technical issues .
Analyze applications for
vulnerabilities , conduct thorough
testing, debugging , and effectively
troubleshoot software issues .
Mentor and coach engineering teams , act as a
Subject Matter Expert (SME) , and contribute to
continuous learning initiatives .
Assess and manage
risks in business decisions , safeguarding the firm’s reputation, ensuring
compliance with regulations , and transparently escalating
control issues .
Recommended Qualifications
Extensive hands‑on experience with
GenAI concepts ,
Large Language Models (LLMs) ,
transformer architectures ,
RAG , and
agentic frameworks (e.g., LangChain, LangGraph, Google ADK) .
Expert
Python proficiency
for
AI/ML development, data engineering, and backend services ; deep understanding of
software design patterns, data structures, and algorithms .
Hands‑on experience with
AI Development Tools
such as
Claude Code, Devin AI, Cursor, Copilot etc.
Proficient with
containers and orchestration technologies , specifically
OpenShift , and proven ability to architect and deploy
high‑performance, large‑scale AI/ML systems
to production.
Extensive experience architecting and developing
virtual assistants, chatbots, and conversational AI platforms .
Experience in
front‑end development with React/AngularJS
and experience with technologies like
Java, Spring Boot, SQL Queries
is a plus.
Experience
10+ years of software development experience , with strong experience delivering
Python and GenAI products .
Proven expertise in
LLMs ,
fine‑tuning methods , building
RAG systems (hybrid search, multi‑vector retrieval) , and practical knowledge of
model optimization (compression, quantization)
with tools like
DeepSpeed, vLLM, GPTQ .
Extensive experience with
containerization (Docker) ,
orchestration (Kubernetes) ,
CI/CD pipelines
for APIs and ML models, and
MLOps practices
in agile development environments.
Experience with
distributed systems ,
event‑driven architectures ,
container‑based microservices ,
distributed logs , and
NoSQL databases .
Competence with
NodeJs, React ,
Angular
Expert understanding of
advanced NLP/NLU, Machine Learning, and Generative AI techniques , coupled with demonstrated experience in
complex API integrations
and
enterprise system connectivity .
Exceptional
problem‑solving, analytical, and communication skills , with the ability to lead, mentor cross‑functional teams, and contribute to
open‑source GenAI/NLP projects .
Education
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
Primary Location Full Time Salary Range
$142,320.00 - $213,480.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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