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Principal AI Engineer - Vice President

Citi -
Tampa, FL

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Job details

Full-time

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Life insurance

Qualifications

AI models
TensorFlow
Data model design
Statistics
Achieving reduction in data retrieval time through optimization
Systems integration
Software engineering
Data modeling
Data Integration (Data management)
Statistics
Software Engineering
Failover system
PyTorch
High availability solutions design
Team leadership
Improving system uptime or availability
Data quality assurance
IT system monitoring
Testing and evaluation
NumPy
GitHub Actions
Generative models
System design
Integration Architecture Design (Architecture design skills)
MongoDB
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Enterprise software systems development
Prompt engineering
Master's degree
Infrastructure architecture design
Pandas
Data Architecture Design (Architecture design skills)
Collaboration with product development teams
Analysis skills
Machine intelligence
Bachelor's degree
Model deployment
Azure DevOps proficiency
Data quality monitoring
Neo4j
Indexing strategies
Integration Platforms (Enterprise solutions)
Mentoring
Design engineering
Natural language processing
Cloud Native Design
Semantic Web
Argo CD
Developing automated testing protocols
Red Hat OpenShift
Scalability
Production monitoring
Monitoring system implementation
System deployment
Neural networks
Cloud automation
Distributed computing
DevOps automation
AI-driven automation
Machine learning libraries
Senior level
AI strategy
Cloud monitoring
Machine learning frameworks
GitLab
Design (software development lifecycle)
MLOps
Generative AI
Cross-functional communication
Metadata management
High availability
Metadata creation
10 years

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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:

Digital Software Engineering

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$125,600.00 - $188,400.00

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:

Jun 25, 2026

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.

Apply Now

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