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Internship Generative Ai Project Manager Jobs (NOW HIRING)

Working across Medpace on behalf of the Chief AI Office, the individual will manage and provide accountability for day-to-day operations of the overall AI project list and ensure good communications ...

Generative AI Strategist

Charlotte, NC · On-site

$108K - $139K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

OH · On-site

$117K - $151K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Dallas, TX

$120K - $155K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Plano, TX

$116K - $150K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

New York, NY · On-site

$132K - $171K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Mclean, VA · On-site

$122K - $158K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Montevallo, AL

$119K - $154K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Los Angeles, CA · On-site

$130K - $169K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

New York, NY · On-site

$132K - $171K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Charleston, WV · On-site

$112K - $145K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... ongoing projects. Leadership & Management * Partners with Business Units to provide reliable ...

Generative AI Strategist

New York, NY · On-site

$132K - $171K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Philadelphia, PA · On-site

$122K - $158K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

New York, NY · On-site

$132K - $171K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Generative AI Strategist

Phoenix, AZ · On-site

$120K - $155K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Showing results 41-60

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Infographic showing various Internship Generative Ai Project Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Generative AI Senior Delivery Lead

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

Generative AI Senior Delivery Lead (Hybrid)
Job Overview
We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls Technology platform. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI - including context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration - with a proven track record of successfully delivering complex technology projects. This role centers on architecting and delivering solutions built on pre-trained and hosted foundation models, not on training or fine-tuning models.
Key Responsibilities
  • GenAI Delivery Leadership: Execute the delivery roadmap for generative and agentic AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.
  • Team Leadership & Mentorship: Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.
  • End-to-End Solution Delivery: Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI and agentic applications. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
  • Agentic Solution Delivery: Drive the design and delivery of agentic workflows and multi-agent systems, establishing standards for agent harnesses, orchestration patterns, and reliable long-running agent execution across the platform.
  • Stakeholder & Program Management: Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.
  • Cross-Functional Partnership: Collaborate closely with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams to ensure the seamless integration and operationalization of GenAI and agentic solutions into our existing technology ecosystem.
  • Technical Excellence & Best Practices: Drive the adoption of best practices in software development (CI/CD), LLMOps, agent observability, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.
  • Governance & Ethical Deployment: Implement and enforce robust governance and ethical AI frameworks throughout the delivery process - including guardrails, agent isolation/sandboxing, and responsible AI practices - ensuring compliance with data privacy standards and corporate policies.
Required Technical Skills
  • Core Generative AI Concepts: Deep understanding of foundation models, LLMs, embeddings, tokenization, and context-window management. Fluent in applying pre-trained and hosted models to enterprise use cases.
  • Context Engineering: Expertise in advanced context engineering - context layering, chaining, compression, pruning/offloading, and memory management - to maximize reliability, provenance, and token efficiency in production.
  • Prompt Engineering: Adept at advanced prompt engineering techniques and best practices, with familiarity with frameworks that facilitate effective prompt design and management.
  • Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.
  • Knowledge Graphs & Graph RAG: Experience designing and delivering knowledge graphs (e.g., using graph databases such as Neo4j or ArangoDB) and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
  • Agentic AI & Multi-Agent Orchestration: Proven experience delivering agentic systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer.
  • Agent Harness & Interoperability: Strong grasp of harness engineering (governance, constraints, feedback loops, execution controls, agent isolation/sandboxing) and agent interoperability protocols - the Model Context Protocol (MCP) for tool/data access and the Agent2Agent (A2A) protocol for inter-agent collaboration.
  • Machine Learning Frameworks & Cloud Computing: Working knowledge of ML frameworks and extensive hands-on experience with AWS (or equivalent) services and infrastructure for AI/GenAI.
  • Natural Language Processing (NLP) & AI Deployment: Advanced NLP skills (NER, dependency parsing, text classification, topic modeling). Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for LLMOps.
  • Data Engineering & API Development: Strong proficiency in data preprocessing, document ingestion, and handling large-scale datasets. Experience with real-time and streaming AI applications and designing RESTful APIs for model and agent integration.
  • Generative AI Tools & Platforms: Experienced with LangGraph, Autogen, CrewAI, LangChain, LlamaIndex, Hugging Face, and Google ADK. Familiarity with major GenAI APIs (OpenAI, Gemini, Claude) and version control systems like Git.
  • Agent Observability & Evaluation: Experience with tracing and evaluation tooling (e.g., OpenTelemetry-based observability) for production GenAI and agent systems.
  • AI Compliance & Guardrails: Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).
Required Leadership & Soft Skills
  • Delivery Leadership: Proven ability to lead and deliver complex, large-scale technical projects from concept to production.
  • Program Management: Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management.
  • Strategic Execution: Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively.
  • Stakeholder Management: Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders.
  • Pragmatic Innovation: A passion for applying cutting-edge GenAI and agentic technologies to solve real-world business problems in a practical and efficient manner.
  • Problem Solving: Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (PhD preferred).
  • 10+ years of overall experience.
  • 8+ years of experience in AI/ML, with at least 3 years in Generative AI (including agentic AI).
  • 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
  • Extensive hands-on experience with AWS services and infrastructure related to AI/GenAI.
  • A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.

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:
Aug 19, 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
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.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

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We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US