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Added 8 mins ago
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Citigroup

Apps Development Group Manager - Senior Vice President

Tampa, FL, United States

$141,440.00 - $212,160.00 · Full-time

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Job details

Pay: $141,440.00 - $212,160.00
Job type: Full-time
Experience: 10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
Posting language: English
Posted: Oct 31, 2026

Original job description

The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprise grade Agentic AI solutions capable of integrating data from multiple heterogeneous systems and operating reliably at scale.

You will act as a hands-on architect, engineer, and partner to cross functional teams - including Data Engineering, Architecture, Enterprise Platforms, and Product - defining the technical approach, AI system design, and integration patterns needed to build robustfault tolerantnt AI agents and AIdriven automation capabilities.

This role requires deep technical breadth across machine learning, LLMs, data pipelines, cloud engineering, orchestration, and modern AI frameworks. The solutions you design will enable strategic automation, cognitive decisioning, and dynamic multi-agent workflows across the organization.

Key Responsibilities

AI Solution Architecture & Agentic Systems

Design and build agentic AI systems, including autonomous agents, multiagent orchestration, tool use, and adaptive decision-making workflows.
Architect fault tolerant, scalable AI solutions using modern agent frameworks (e.g., Google_ADK, LangGraph, LangChain , OpenAI Assistants, CrewAI, AutoGen, custom orchestrators).
Define the end-to-end AI system blueprint, including knowledge integration, orchestration, pipelines, observability, governance, and failover strategies.
Evaluate and select LLMs, embeddings, vector stores, and middleware best suited for complex enterprise requirements.

Data Integration & Pipeline Engineering

Partner with engineering teams to aggregate, ingest, and harmonize data from multiple systems, including APIs, databases, internal platforms, and unstructured sources.
Design robust data pipelines optimized for LLM workloads (e.g., chunking, metadata design, semantic indexing, retrieval strategies).
Implement mechanisms for ensuring data freshness, quality, and fault tolerance across distributed systems.

LLM, RAG, and Generative AI Engineering

Build advanced Retrieval-Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization.
Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem).
Engineer prompts, system instructions, and reusable prompt templates for deterministic AI behavior.
Implement safety guardrails, evaluation pipelines, and bias/error mitigation strategies.

AI Platform Engineering & Deployment

Develop cloudnative GenAI applications using containerized infrastructure (Kubernetes, OpenShift, Docker).
Build and support production-grade MLOps / AIOps pipelines, including CI/CD, automated testing, monitoring, model versioning, and rollback strategies.
Partner with engineering teams to ensure secure, compliant deployment of all AI workloads.

Technical Leadership & Collaboration

Serve as technical SME for AI engineering patterns, solution design, and architecture.
Mentor mid-level engineers and analysts, guiding best practices in AI build patterns and engineering quality.
Influence product and platform strategy by providing insights on emerging GenAI and agentic technologies.

Qualification:

Experience

10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
Proven experience designing and deploying enterprisegrade AI Systems in production.

Required Technical Skills

Core AI/ML & GenAI Expertise

Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.
Extensive handson experience with LLMs: Gemini, OpenAI, Claude, Mistral, Llama, opensource models, etc.
Deep expertise in RAG architectures, including retrieval optimization, vector search, and semantic data modeling.
Experience building agentic AI using Google_ADK or langGraph

Programming & Data Engineering

Strong proficiency in Python and libraries such as: Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.
Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc.
Experience building pipelines for large-scale unstructured data processing.

Cloud, DevOps, & MLOps

Strong CI/CD experience: GitLab CI, Jenkins, Azure DevOps, ArgoCD, GitHub Actions.
Expertise deploying GenAI solutions in production using: Kubernetes, Docker, Helm, serverless runtimes, or cloud-native LLM services.
Experience with monitoring, observability, and logging frameworks relevant for AI workloads.

Soft Skills

Exceptional problem-solving and analytical skills.
Ability to execute independently while operating effectively in ambiguity.
Strong collaboration skills across engineering, architecture, and product teams.
Deep commitment to ethics, transparency, and responsible AI usage.

Preferred Qualifications

Experience building AI systems in regulated or enterprise environments.
Experience using knowledge graphs, graph databases, or enterprise metadata systems.
Familiarity with AIOps, agent monitoring, or AI governance frameworks.

Education

Bachelor’s degree or equivalent experience required.
Master’s degree preferred.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$141,440.00 - $212,160.00

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.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Nov 06, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right (https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/Illinois_Career_Supplement_a11y.pdf)

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.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .

View Citi’s EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

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More about this job

Skills

Data engineering
Decision making
LangChain
Hugging Face
Kubernetes
Red Hat OpenShift
Docker
CI/CD
Test automation
ML
Natural language processing
Statistics
Data modelling
Python
NumPy
PyTorch
TensorFlow
MongoDB
Neo4j
Unstructured data
DevOps
GitLab
Jenkins
Microsoft Azure
GitHub
Problem solving
Analytical skills
Collaboration

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