The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprisegradeAgentic AI solutionscapable of integrating data from multiple heterogeneous systems andoperatingreliably at scale.
You will act as a hands-onarchitect, engineer, and partner tocrossfunctional 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.
Architectfault 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 pipelinesoptimizedfor 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 applicationsleveragingmajor LLMs (OpenAI, Gemini, Claude, Llama, Mistral,HuggingFaceecosystem).
Engineer prompts, system instructions, and reusable prompt templates for deterministic AI behavior.
Implement safety guardrails,evaluationpipelines, and bias/error mitigation strategies.
AI Platform Engineering & Deployment
DevelopcloudnativeGenAI applications using containerized infrastructure (Kubernetes, OpenShift, Docker).
Build and support production-gradeMLOps/ 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 astechnicalSME 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 deployingenterprisegradeAI Systems in production.
Required Technical Skills
Core AI/ML & GenAI Expertise
Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.
Extensivehandsonexperience with LLMs: Gemini, OpenAI, Claude, Mistral, Llama, opensource models, etc.
Deepexpertisein RAGarchitectures, including retrieval optimization, vector search, and semantic data modeling.
Experience building agentic AI usingGoogle_ADKorlangGraph
Programming & Data Engineering
Strongproficiencyin 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.
Expertisedeploying GenAI solutionsin productionusing:
Kubernetes, Docker, Helm, serverless runtimes, or cloud-native LLM services.
Experience with monitoring, observability, and logging frameworks relevantforAI workloads.
Soft Skills
Exceptional problem-solving and analytical skills.
Ability to execute independently whileoperatingeffectively 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 experiencerequired.
Master’s degree preferred.
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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.
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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:
Mar 19, 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.
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