3 days ago
Base Salary
$156k - $234k/yr
Responsibilities
- Analyze business processes, workflows, and pain points with business stakeholders to identify and prioritize AI opportunities.
- Design and rapidly prototype AI-powered solutions, including proofs of concept and minimum viable products.
- Translate business requirements for core engineering teams and ensure solutions are fit for purpose.
- Develop principled approaches and reference solutions for agentic AI and process automation.
- Track AI initiative effectiveness and ROI through key performance indicators.
- Document AI-driven processes and train and support business users during adoption.
- Stay current with machine learning, natural language processing, generative AI, and agentic solution practices.
- Mentor and apprentice future AI practitioners to support sustainable and scalable AI capabilities.
Requirements
- 3-5+ years of hands-on technical experience in software engineering, data science, or machine learning engineering.
- Deep hands-on experience with large language models, AI agents, core supervised and unsupervised machine learning concepts, natural language processing, and data modeling.
- Ability to understand business challenges and translate them into technical requirements and solutions.
- Exceptional communication and interpersonal skills for explaining complex technical concepts to non-technical audiences.
- Proactive, analytical problem-solving approach with a record of delivering innovative solutions.
- Hands-on experience with AWS, Google Cloud, or Azure and associated AI/ML services such as SageMaker, Vertex AI, or Azure ML is preferred.
- Familiarity with data engineering principles, ETL/ELT, data warehousing, and large datasets is preferred.
- Forward-deployed, consulting, or client-facing technical experience is highly desirable.
- Knowledge of payments, finance, or operations in financial services is preferred.
- Bachelor’s degree or equivalent experience is required.
Benefits
- Hybrid work model with three days in the office and two days working remotely.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays.
- Structured learning and development opportunities.
- Professional wellbeing and financial support programs.
- Access to Citi’s AI capabilities and growing AI-agent ecosystem.
- Opportunity to mentor and develop AI practitioners in a high-visibility role.
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.