{"id":4266097,"url":"https://alion.io/job/regions-bank-cloud-data-engineer-ai-platform","title":"Cloud Data Engineer - AI Platform","company":{"id":3280,"name":"Regions Bank","domain":"regions.com","url":"https://alion.io/company/regions-bank","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Birmingham, United States","Charlotte, United States","Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Time Series","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-11-13T16:38:42Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T16:38:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.\nRegions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.\nJob Description:\nAt Regions, the Cloud Data Engineer supports the Data and Analytics organization by assisting in the design, optimization, and development of data pipelines and machine learning models. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models. This role supports software developers, database architects, data analysts, and data scientists on data initiatives and ensures optimal data delivery architecture is consistent throughout ongoing projects.\nPrimary Responsibilities\nPartners with Regions Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases\nAssists with building data pipelines to collect and arrange data and manage data storage in Regions’ big data environments\nBuilds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker\nBuilds applications that integrate with AI, including knowledge base management and document processing.\nEnsures data is prepared, arranged and ready for each defined business use case\nContinuously seeks opportunities for growing knowledge and skills as it relates to daily tasks \nEnsures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices\nIdentifies opportunities for and supports process improvements\nApplies disciplined change management practices\nThis position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.\nRequirements\nPh.D. and two (2) years of experience in a quantitative/analytical/STEM field\nOr Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field\nOr Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field\nThree (3) years of working programming experience in Python, Scala, SQL, and Terraform\nThree (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake\nPreferences\nBackground in Big Data Engineering and Advanced Data Analytics \nExperience developing solutions for the financial services industry\nExperience in Agile Software Development\nExperience or exposure to cloud technologies and migrations\nPrior banking or financial services experience\nSkills and Competencies\nAbility to interpret and ensure compliance with applicable rules, regulations, and industry guidance\nExperience building data solutions at scale \nExperience with cloud technologies and migrations\nExperience designing and building relational data structures in multiple environments\nExperience with cloud-based orchestration tools\nExperience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault\nExperience with DevOps principals, CI/CD, and Software Development Lifecycle\nExperience with No-SQL databases\nExperience leading technical projects from end to end\nExperience mentoring junior associates on best practices (make helping/teaching an expectation)\nExperience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing\nProven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets\nSignificant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making\nStrong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks\nStrong background in synthesizing data and analytics in a large (Fortune 500), complex, and highly regulated environment\nStrong communication skills through written and oral presentations\nStrong technical background including database and business intelligence skills\nExperience in the following highly desired and preferred:\nDesigning and deploying enterprise-grade Generative AI solutions leveraging modern LLMs preferably with Amazon Bedrock\nDeveloping advanced prompt engineering frameworks, incorporating context management, agent orchestration, skills integration, and response evaluation\nImplementing AI governance frameworks, including guardrails, compliance controls and enterprise risk management standards\nThis position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in-office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are Birmingham, AL, Atlanta, GA or Charlotte, NC.\nRegions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.\nPosition Type\nFull timeCompensation Details\nPay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.\nThe target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.\nJob Range Target:\nMinimum:\n$114,995.65 USDMedian:\n$146,400.00 USDIncentive Pay Plans:\nOpportunity to participate in the Long Term Incentive Plan.Benefits Information\nRegions offers a benefits package that is flexible, comprehensive and recognizes that \"one size does not fit all\" for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.\nPaid Vacation/Sick Time\n\n401K with Company Match\n\nMedical, Dental and Vision Benefits\n\nDisability Benefits\n\nHealth Savings Account\n\nFlexible Spending Account\n\nLife Insurance\n\nParental Leave\n\nEmployee Assistance Program\n\nAssociate Volunteer Program\n\nPlease note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.\nhttps://www.regions.com/about-regions/welcome-portal/benefits\nLocation Details\nRiverchase Operations CenterLocation:\nHoover, AlabamaEqual Opportunity Employer/including Disabled/Veterans\nJob applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. 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