Forward Deployed Engineer, AI Transformation -Senior Vice President

Citigroup; Tampa (FL); Presencial; USD 141.000 - 212.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

401(k)

Life insurance

Disability insurance

Wellness programs

Paid time off

Descripción de la vacante

Citigroup seeks a Forward Deployed Engineer to drive AI-enabled re-engineering of core business processes in Tampa. You will partner with process owners and technology leaders to design principled AI approaches, build reference solutions, and demonstrate ROI through measurable improvements.

You will prototype AI-powered solutions, align requirements across stakeholders, and stay current on ML and NLP innovations to deliver tangible business value.

Formación

• 3-5+ years in a hands-on technical role (software engineering, data science, or ML engineering).
• Deep, hands-on experience with LLMs and AI agents; NLP and data modeling knowledge.
• Ability to translate business needs into technical requirements and solutions.

Responsabilidades

• Collaborate with business stakeholders to analyze processes and identify AI opportunities.
• Design and prototype AI-powered solutions, including POCs and MVPs.
• Act as a technical translator between business users and engineering teams.

Conocimientos

AI/ML Knowledge

LLMs & AI agents

Data modeling

Business acumen

Communication

Problem-solving

Educación

Bachelor's degree

Herramientas

AWS

Google Cloud

Azure

Descripción del empleo

We are seeking a highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey, partnering directly with business process owners and technology leaders to fundamentally reimagine and re-engineer core business processes. You will help define principled approaches to agentic solution design and create reference solutions that leverage the power of Artificial Intelligence to set new standards for efficiency and innovation.

Key Responsibilities

• Collaborate & Analyze: Work closely with business stakeholders to conduct in-depth analyses of existing business processes, workflows, and pain points. Identify and prioritize opportunities where AI can deliver maximum impact.
• Solution Design & Prototyping: Design and rapidly prototype innovative AI-powered solutions. This includes developing proof-of-concepts (POCs) and where appropriate, minimum viable products (MVPs) to demonstrate feasibility and value.
• Bridge Communication Gaps: Serve as a key technical translator and liaison between nontechnical business users and core engineering teams, ensuring requirements are clearly understood and solutions are fit-for-purpose.
• Stay Current: Maintain a deep understanding of the rapidly evolving AI landscape, including new tools, techniques, and best practices in machine learning, natural language processing, and generative AI.
• Measure & Optimize: Define key performance indicators (KPIs) to measure the effectiveness and ROI of AI initiatives.
• Documentation & Training: Participate in the creation of comprehensive documentation for new AI-driven processes and provide training and support to business users to ensure successful adoption.

Qualifications & Required Skills

• Professional Experience: 3-5+ years of experience in a hands-on technical role such as software engineering, data science, or machine learning engineering.
• AI/ML Knowledge: Deep, hands-on experience with LLMs and AI agents as well as core machine learning concepts (both supervised and unsupervised), natural language processing (NLP), and data modeling.
• Business Acumen: Demonstrated ability to understand business challenges and translate them into technical requirements and solutions.
• Communication Skills: Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts to a non-technical audience.
• Problem-Solving: A proactive and analytical approach to problem-solving, with a track record of delivering innovative solutions.

Preferred Skills & Nice-to-Haves

• Client-Facing Experience: Prior experience in a "forward deployed," consulting, or client facing technical role is highly desirable.
• Cloud Platforms: Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Data Engineering: Familiarity with data engineering principles, including ETL/ELT processes, data warehousing, and working with large datasets.
• Domain Expertise: Knowledge of a specific business domain such as payments, finance and operations in financial services firms.

Education: Bachelor's degree/University degree or equivalent experience

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.