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Citi

Lead Agentic AI Engineer

Citi

. Design and implement generative and agentic AI solutions for enterprise Controls Technology .

Posted 9/17/2026full-timeIrving • Florida • United StatesSenior💰 $125,760 - $188,640 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in designing and implementing generative and agentic AI solutions, with a strong focus on prompt engineering, knowledge graphs, and multi-agent systems. Proficient in ensuring ethical AI practices and mentoring team members while contributing to scalable AI-driven projects.

Highest-signal resume keywords
Generative AI SolutionsAgentic AI SystemsPrompt EngineeringKnowledge GraphsMulti-Agent Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Foundation ModelsLLMsTokenizationContext-Window ManagementRAG SystemsNLP SkillsPythonDockerKubernetesVector Databases
Soft Skills
CollaborationAnalytical SkillsCommunicationMentoringInnovation
Tools & Technologies
Google ADKOpenAIGeminiClaudeLangChainLlamaIndexMCPA2AAWSCI/CD Pipelines
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in AI
Industry Keywords
Ethical AIAI ComplianceAgent IsolationMulti-Hop ReasoningExplainability

Tech Stack

Tools & technologies
AWSCloudDockerKubernetesPython

About the role

Key responsibilities & impact
  • Design and implement generative and agentic AI solutions for enterprise Controls Technology
  • Architect context engineering strategies for reliability, provenance, and token efficiency
  • Design prompt engineering, RAG, hybrid search, multi-vector retrieval, and re-ranking systems
  • Design knowledge graphs and Graph RAG architectures for multi-hop reasoning and explainability
  • Architect agentic workflows and multi-agent systems using Google ADK and comparable frameworks
  • Design agent harnesses with governance, constraints, feedback loops, state/session management, and execution controls
  • Integrate agents with tools and data through MCP and orchestrate collaboration through A2A
  • Support production integration, deployment, scalability, observability, and maintainability
  • Contribute to real-time and streaming AI solutions
  • Ensure ethical AI, guardrails, agent isolation/sandboxing, privacy, and compliance
  • Mentor junior team members, conduct code reviews, and foster technical excellence
  • Stay current with generative and agentic AI advances and share knowledge

Requirements

What you’ll need
  • Deep, hands-on expertise in foundation models, LLMs, embeddings, tokenization, and context-window management
  • Advanced prompt engineering and context engineering skills
  • Strong experience building RAG systems, including chunking strategies, hybrid search, and multi-vector retrieval
  • Practical experience designing knowledge graphs and Graph RAG pipelines
  • Proven experience building agentic AI systems with Google ADK or comparable frameworks
  • Experience with multi-agent orchestration patterns and harness engineering
  • Experience with MCP and A2A protocols
  • Experience with agent observability and evaluation
  • Proficiency with OpenAI, Gemini, Claude, LangChain, and LlamaIndex
  • Strong NLP skills, including NER, dependency parsing, text classification, and topic modeling
  • Proficiency with vector databases and embedding models
  • Experience with Docker, Kubernetes, and CI/CD pipelines
  • Understanding of AI compliance, guardrails, and responsible AI practices
  • Strong Python skills and experience with data preprocessing, document ingestion, and API development
  • Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field
  • 5–7 years of experience in AI/software development, including significant Generative AI and agentic AI experience
  • Demonstrated portfolio of successful AI-driven projects in a business environment
  • Experience working with AWS or equivalent cloud infrastructure
  • Strong collaboration, analytical, communication, learning, innovation, and mentoring skills

Benefits

Comp & perks
  • Discretionary and formulaic incentive and retention awards
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays