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Ai Platform Engineer Jobs in Delaware (NOW HIRING)

SVP, Chief Technology Officer (CTO)

Dover, DE · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This includes enterprise cloud infrastructure, developer platforms, data platforms, AI platforms, integration capabilities, and shared technology services that support all business functions. A ...

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

Job Title Lead AI Engineer About Your Role As a Lead AI Engineer, you will play a critical role in ... platforms * 4+ years of experience working with cloud-native and containerized technologies ...

... Engineer to design and develop AI and Machine Learning solutions specifically for banking ... AI platforms. Qualifications : Required : • Design and develop AI/ML and Generative AI solutions ...

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

... Lead AI Engineer Newark, DE - Onsite Responsibilities Owns end-to-end delivery of how the ... Experience with AWS Bedrock or comparable managed LLM platforms. * Contributions to or deep ...

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

... platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year. Role Overview The AI Engineer Intern will develop ...

... platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year. Role Overview The AI Engineer Intern will develop ...

Showing results 21-40

Ai Platform Engineer information

See Delaware salary details

$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai platform engineer in Delaware is $64.01, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $73.85 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What are popular job titles related to Ai Platform Engineer jobs in Delaware?

For Ai Platform Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Delaware look for?

The top searched job categories for Ai Platform Engineer jobs in Delaware are:

What cities in Delaware are hiring for Ai Platform Engineer jobs?

Cities in Delaware with the most Ai Platform Engineer job openings:

Lead .Net Platform Engineer (Payments Ingestion) - Senior Vice President

Citigroup, Inc.

New Castle, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 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

About the Role
We are seeking an experienced, hands-on Senior .Net Lead to contribute to the development of our engineering frameworks, with a strong focus on microservice architecture. This senior engineering leadership role merges hands-on technical contribution with organizational accountability. The ideal candidate will remain deeply involved in the code and architecture while simultaneously owning the platform strategy, defining engineering standards, and guiding a scrum team in developing core functionalities within the payments lifecycle.
Key Responsibilities
1. Hands-On Technical Contribution & System Design
  • Actively code in .Net developing reusable frameworks while performing system design, architecture reviews, and code reviews for the core cheque payment platform.
  • Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency transaction processing.
  • Write, review, and refactor production-grade code in .Net setting a high technical standard for the team.
  • Independently design event-driven, microservices-based architectures utilizing REST APIs, .Net. React knowledge is a plus.
  • Apply hands-on experience with Kafka, including message schema design, topic partitioning, consumer group strategies, and fault-tolerant processing.
  • Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL), covering schema design, indexing strategies, query optimization, and data consistency patterns.
  • Champion continuous development, feature flags, and progressive delivery, contributing to the design and optimization of CI/CD pipelines.
  • Produce and review Architecture Decision Records (ADRs) and technical design documents for key platform components.

2. Engineering Excellence & Quality
  • Maintain and enforce engineering standards within the scrum team, including Test-Driven Development (TDD), reusable framework development, CI/CD, secure coding, and observability.
  • Conduct code reviews for critical platform components, providing detailed technical feedback to enhance team quality and capacity, ensuring the development of scalable and reusable services.
  • Drive the adoption of AI-powered quality practices, including leveraging tools like GitHub Copilot for coding, utilizing LLMs (Gemini experience preferred) to improve payment processing quality, and implementing automated test script generation and vulnerability remediation.
  • Lead performance engineering initiatives, including profiling JVM-based applications identifying performance hotspots, and optimizing critical settlement processing paths.
  • Own the security and compliance posture of the cheque payment platform by participating in threat modeling, vulnerability assessments, and secure design reviews.
  • Ensure all engineering delivery aligns with Citi Engineering Excellence Standards, including CI/CD, DevOps, cloud-native practices, and modern ways of working.

3. Platform Strategy & Domain Ownership
  • Define and own the engineering roadmap for modernizing the cheque payment platform, migrating global components from monolithic mainframe and legacy applications to a reusable microservices architecture.
  • Develop strong domain knowledge in the payment lifecycle, settlement, and cheque image processing to inform sound engineering decisions.
  • Own the platform's SLA commitments, driving architectural decisions to meet availability, throughput, and latency targets.
  • Develop cross-platform integration by governing API contracts, data flows, and system dependencies across the Payments, Settlements, DDA, and Data Lake ecosystems.
  • Drive capacity planning and investment prioritization, making informed decisions on platform scaling, technology refresh, and resource allocation.
  • Partner with Operations, Risk, Compliance, and Business teams to ensure the platform meets all regulatory requirements and business needs.

4. Leadership & Stakeholder Engagement
  • Act as the primary engineering point of contact for the core Cheque Processing pillar, engaging with senior business, technology, and operations stakeholders.
  • Clearly communicate platform health, delivery progress, engineering strategy, and risks to senior leadership.
  • Partner with Product, Operations, Risk, Finance, and Compliance teams to align engineering priorities with business and regulatory needs.
  • Demonstrate the ability to pivot direction to meet timelines and delivery commitments with tactical solutions, while maintaining a clear vision for strategic platform development.

Skills and Qualifications
1. Core Programming & System Architecture
  • .Net: 10+ Extensive hands-on experience in high-throughput, production-grade .Net engineering, including JVM performance tuning.
  • API Development: Hands-on experience building RESTful APIs with frameworks such as Spring MVC or Spring Boot.
  • Microservices Architecture: Proven experience designing microservices ecosystems, including service decomposition, API design, inter-service communication, and cloud engineering.
  • Event-Driven & Messaging Systems: Deep, hands-on expertise in Kafka, including topic design, partitioning, consumer groups, exactly-once semantics, and high-throughput stream processing.
  • High-Performance Computing: Hands-on experience with profiling and optimization, including JVM tuning, garbage collection (GC) optimization, thread management, and memory profiling.
  • High Availability & Fault Tolerance: Practical experience designing resilience patterns such as circuit breakers, bulkheads, failover, and disaster recovery.
  • Databases: Hands-on expertise in Oracle (SQL) and Microsoft SQL for schema design, query optimization, and indexing, as well as MongoDB (NoSQL) for document modeling, aggregation pipelines, sharding, and replica sets.

2. Cloud & DevOps
  • Cloud-Native Engineering: Hands-on experience with OpenShift/AWS, Kubernetes, and Docker for container orchestration, autoscaling, and cloud-native deployment.
  • CI/CD & DevOps: Experience designing and owning CI/CD pipelines aligned with enterprise-level Engineering Excellence Standards. Experience with tools like Jenkins and Gradle/Maven.
  • Observability: Hands-on experience with distributed tracing, intelligent alerting, and AI-driven observability using tools like Grafana.
  • Secure Engineering: Practical experience with threat modeling, vulnerability assessments, and secure design reviews.
  • Agile at Scale: Experience with Agile/SAFe delivery at the program level, including PI planning, cross-team dependency management, and delivery governance.

Good-to-Have Skills
  • ML Integration: Hands-on experience with real-time ML model serving, including feature stores, online inference, and model monitoring.
  • AI Frameworks: Familiarity with Retrieval-Augmented Generation (RAG) patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen).
  • MLOps: Knowledge of MLOps practices such as model versioning, deployment pipelines, and production model monitoring.
  • Resilience Testing: Experience with chaos engineering and resilience testing, including fault injection and production readiness reviews.
  • Financial Systems: Knowledge of reconciliation and exception handling patterns in settlement workflows.
  • LLM Experience: Familiarity with prompt engineering and LLM fine-tuning in a regulated enterprise context.
  • Python: Hands-on expertise in Python for data pipelines, AI/ML integration, scripting, and automation.
  • Legacy Modernization: Experience with large-scale transformation projects, including migrating mainframe components (COBOL, Assembler) and legacy systems (C++, .NET) to a microservices architecture.
  • Strategy: Experience with technology investment governance and engineering budget management.

What We Are Looking For
  • A hands-on leader who actively contributes to code, frameworks, reviews, and technical problem-solving.
  • A strategic thinker who is equally comfortable at the code/architecture level and the platform strategy/stakeholder management level.
  • A pragmatic innovator who identifies practical, high-value opportunities to apply AI/ML without losing focus on engineering fundamentals.
  • An accountable owner with a strong sense of ownership for platform quality, reliability, and delivery.
  • A mentor committed to developing engineers and managers, building technical capability and leadership depth across the team.
  • An effective communicator able to translate technical complexity into clear, concise updates for business and senior leadership.

Why Join Us
  • Lead engineering for a central global payment platform while remaining deeply technical.
  • Drive AI and engineering transformation on a high-visibility modernization initiative with significant business impact.
  • Work at the intersection of high-throughput financial systems and modern AI capabilities.
  • Build and mentor a strong engineering team with access to state-of-the-art tools, platforms, and talent.
  • Be part of an engineering culture that values technical depth at every level of seniority.

Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New Castle Delaware United States
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
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 22, 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.
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.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

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