The Senior AI and Data Consultant is a senior, hands-on technical leader within the AI and Data Support Operations organization. This teammate is accountable for elevating the reliability, resiliency, and operational excellence of critical enterprise platforms across hybrid cloud and on prem environments. Acting as both a hands on cloud expert and a cross domain influencer, the Data Consultant drives systemic improvements in observability, automation, AIOps adoption, fault tolerance, and incident management within AWS. The role partners closely with Application Development, Infrastructure, Production Support, Platform Delivery, Architecture, Cybersecurity, Risk, and Business technology teams to uplift operational practices and deliver stable, predictable, and scalable services. The AIDC delivers measurable impact through deep expertise in cloud technologies, modern operational tooling and enterprise-scale incident/problem management. 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. Cloud Operational Support and Modernization Experience with Infrastructure as Code (IaC) products (Terraform, Cloudformation) for rapid and consistent deployment of virtual infrastructure. Proficiency with AWS Identity and Access management suite and how it will integrate with Truist Active Directory. Expert level knowledge of AWS virtual OS images and management of core components such as EC2 instances and AMIs. Familiarity with cloud networking concepts, namely VPCs, load balances and security groups for access to virtual assets. Experience with meta tags used for grouping of assets into subcategories. Fundamental understanding of monitoring, alerting and observability tools in AWS. Incident & Problem Management Leadership Lead major and high-severity incident response efforts, focusing on diagnosing technical root causes therein, and driving multi-team technical resolution. Drive problem management to closure, ensuring systemic fixes replace recurring operational risks. Establish and maintain standardized incident playbooks, escalation paths, and communication frameworks. Reliability Engineering & Automation Architect and deliver automation solutions that eliminate toil, reduce MTTR, and increase service resilience. Implement intelligent alerting, anomaly detection, and event correlation leveraging AI and AIOps tools. Guide and enforce SLO/SLI adoption across product teams, ensuring metrics inform decision-making and prioritization./ Infrastructure as Code (IaC) creation and updates for deploying assets in Amazon Web Services tenant. Deploy patches and device hardening configurations to improve security posture on AI and Data servers. Observability & Operational Excellence Enhance telemetry coverage across logs, metrics, traces, and events using platforms such as Dynatrace and Splunk. Define and standardize enterprise observability practices, dashboards, and KPIs. Ensure operational readiness of applications and platforms through resiliency testing, chaos engineering, and failure-mode validation. Cross-Functional Leadership & Influence Partner with Delivery, Architecture, Security, and Risk teams to embed reliability and resilience into design and execution. Act as a change agent to elevate operational maturity and drive transformative improvements across Wholesale. Standardization & Documentation Develop, maintain, and enforce runbooks, response playbooks, and automated recovery patterns. Contribute to enterprise SRE frameworks, templates, and maturity models. Promote consistent adoption of best practices across domains and lines of business. Mentorship & Technical Development Coach and mentor Associate, Professional, and Senior SREs to build technical depth and operational discipline. Provide thought leadership in SRE methodologies, cloud-native operational patterns, and automated reliability engineering. Qualifications Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, or related field. 2. Minimum of 7 years of professional experience in AI and data. 3. Strong knowledge of AI models, data architectures, and analytics methodologies. Preferred Qualifications Experience managing AWS services and virtual infrastructure. Experience enabling large-scale SRE transformations or modernization initiatives. Familiarity with chaos engineering, resilience assessments, and service failure modeling. Exposure to hybrid-cloud and multi-cloud operational frameworks. 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 position. Truist 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 Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's 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.