Data Architect Data Engineer III AIML Engineer

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The Data Engineer 3 is responsible for sourcing analyzing documenting and maintaining data assets related to Corporate and Institutional Group portfolio and operational processes. Ensure processes deliver data that are accurate complete current understandable and accessible. This role will leverage extensive knowledge across multiple lines of business and data expertise. Responsible for leading projects end to end independently. As an entrylevel AI/ML Engineer you will help design build and support AIdriven applications across AWS and Azure cloud environments. Working alongside senior engineers and architects youll contribute to machine learning pipelines LLM-based agent workflows and distributed application components using AWS AgentCore and Azure Service Fabric. This role is ideal for earlycareer engineers who are eager to learn modern AI engineering practices and grow into more advanced responsibilities.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed both major and minor which are not mentioned below. Specific activities may change from time to time.

Lead research analyze design develop and/or maintain data assets in support of projects information needs and business requirements. Perform analysis validation and interpretation of outputs.
Take ownership of issues through resolution including close coordination with line of business (LOB) partners Enterprise Data Office and Enterprise Information Services.
Have a deep understanding of critical application systems and ability to transform data assets to aid in consumption by BI developers decision & data scientists across the bank.
Utilize the full array of data tools including static SQL R Python SAS to organize and format data assets by defining requirements and implementing automated repeatable solutions.
Conduct business analysis respond to change; solve highly complex business and data problems
Manage appropriate security compliance privacy considerations and follow data management guidance. Train junior team members in coding efficiently and accurately.
Prioritize and manage ad hoc data pulls in depth analysis and reporting efforts to LOB partners and management.
Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions. Identify problematic areas and conduct research to determine the best course of action to correct the data identify analyze and interpret trends and patterns in complex datasets.
Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers.
Work closely with senior AI/ML engineers cloud engineers and data scientists to learn architecture patterns coding standards and best practices.
Participate in team standups design discussions and code reviews to build strong engineering fundamentals.
Collaborate with product managers and crossfunctional teams to understand requirements and support feature development.
Ask questions proactively and contribute to a supportive curiositydriven team culture focused on growth and innovation.
Partner with more experienced team members to break down tasks estimate work and deliver highquality code on schedule.
Share learnings create documentation and help strengthen team knowledge through demos or internal presentations.

QUALIFICATIONS
Required Qualifications:
The incumbent must demonstrate a combination of academic aptitude quantitative skills business acumen working knowledge of key application systems strategic and creative thinking and excellent written and oral communications skills. Specific requirements are listed below. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelors degree and 8 years of experience in a quantitative field such as Finance Mathematics Analytics Data Science Computer Science or Engineering.
2. Demonstrated knowledge and skill in strategic data assets warehousing and transactional application data concepts and technology.
3. Proven experience with data engineering and ability to manage large data volumes.
4. Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies
5. Strong familiarity with data extraction in a variety of environments (e.g. SQL SAS etc.).
6. Experience in managing multiple projects with tight deadlines in a collaborative environment.
7. Maintain a high level of competency in analytical principles tools and techniques.

Preferred Qualifications:

1. Masters degree in field such as Finance Mathematics Analytics Data Science Computer Science or Engineering.

2. 10 years of experience in a quantitative field such as Finance Mathematics Analytics Data Science Computer Science or Engineering

3. Strong foundation in Python and basic experience with ML libraries such as Scikitlearn TensorFlow PyTorch or HuggingFace.

4. Understanding of machine learning concepts: dataset preparation training/validation evaluation and inference.

5. Familiarity with cloud fundamentals (AWS or Azure) containers (Docker) Git and commandline workflows.

6. Eagerness to learn AWS AgentCore Azure Service Fabric and enterprisescale AI application development.

7. Ability to write clean maintainable code and follow software engineering best practices.

8. Strong analytical thinking curiosity and willingness to explore new AI and cloud technologies.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits though eligibility for specific benefits may be determined by the division of Truist offering the offers medical dental vision life insurance disability accidental death and dismemberment tax-preferred savings accounts and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment along with 10 sick days (also prorated) and paid holidays. For more details on Truists generous benefit plans please visit our Benefits site. Depending on the position and division this job may also be eligible for Truists defined benefit pension plan restricted stock units and/or a deferred compensation plan. As you advance through the hiring process you will also learn more about the specific benefits available for any non-temporary position for which you apply based on full-time or part-time status position and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race gender color religion citizenship or national origin age sexual orientation gender identity disability veteran status or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work

Required Experience:

Staff IC