Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads enterprise-wide identification, assessment, and mitigation of emerging financial crime threats and typologies. Advises senior executives, directs relationships with regulators and law enforcement, translates intelligence into risk assessments, strengthens financial crime controls, oversees governance and remediation, and communicates significant risks across the organization.

Designs and matures site reliability engineering capabilities across cloud and on-premises platforms. Defines SLIs, SLOs, error budgets, observability standards, and production readiness requirements. Automates toil reduction, remediation, infrastructure provisioning, CI/CD, and operational workflows. Leads incident triage, root-cause investigations, capacity planning, resiliency initiatives, AIOps adoption, and platform health monitoring. Partners with development, infrastructure, security, and governance teams to improve reliability, scalability, compliance, and operational excellence.

Develops enterprise data engineering and generative AI solutions, including data pipelines, transformation processes, LLM and RAG applications, AI agents, APIs, and microservices. Builds secure, scalable, governed AI systems with prompt optimization, guardrails, evaluation, observability, and compliance controls. Collaborates with engineering teams and business stakeholders to deliver data requirements, troubleshoot data issues, test solutions, manage risks, and prioritize AI use cases.

Architects enterprise AI controls, responsible AI frameworks, and data governance solutions in a regulated environment. Designs guardrails for data protection, access, filtering, prompt governance, monitoring, explainability, bias, drift, auditability, and model lifecycle management. Assesses AI platforms, vendors, RAG pipelines, agents, and MLOps/LLMOps capabilities for control maturity and compliance. Partners with Risk, Compliance, Model Risk Management, InfoSec, engineering, and senior leaders to guide secure, scalable, and trustworthy AI adoption.

Provides operational support for equity derivatives and other financial products across the trade lifecycle. Responsibilities include client service, cash-flow agreement, reconciliation, settlement, break resolution, trade monitoring, core-data maintenance, risk escalation, and root-cause analysis. The role collaborates with global teams, supports system and control improvements, participates in testing, and ensures accurate and timely transaction processing during high-volume periods.

Leads global risk data modernization, architecture, governance, and transformation. Directs data owners and technology teams, architects scalable data ecosystems, and develops linked-data structures, knowledge graphs, feature stores, quantitative analytics, and machine-learning models. Oversees model performance, risk, governance, data quality, metadata, and lineage while defining enterprise data strategies, roadmaps, KPIs, and operating processes. Requires extensive experience with big data platforms, graph technologies, data governance tools, quantitative modeling, and reporting solutions.

Leads the architecture, engineering, automation, and operation of Bank of America’s CockroachDB Database-as-a-Service platform. Designs highly available, fault-tolerant, multi-region, active-active deployments; develops self-service provisioning and lifecycle automation; and implements monitoring, observability, backup, disaster recovery, security, and certificate management. Establishes enterprise engineering standards, reference architectures, governance, and operational practices while mentoring teams and serving as the CockroachDB subject matter expert.

Provides phone-based, holistic financial advice to affluent and high-net-worth clients. Builds and manages client relationships, assesses investment, savings, and liability needs, recommends Merrill and Bank of America solutions, conducts client reviews, and collaborates with banking and investment partners. The role includes structured training and requires obtaining SIE, Series 7, and Series 66 licenses within specified timelines before progressing toward a Merrill Financial Advisor position.

Lead enterprise Agentic AI strategy, architecture, and delivery across the software development lifecycle. Design AI-agent workflows, Copilots, RAG and knowledge-graph retrieval systems, and LLMOps practices using Microsoft technologies. Integrate solutions with SDLC platforms, establish governance, security, evaluation, monitoring, and responsible-AI controls, and drive adoption through developer enablement. Partner with product, platform, risk, legal, privacy, and engineering stakeholders while measuring outcomes through KPIs and OKRs.

Supports Financial Advisors and Client Relationship Managers with client servicing, banking and investment solutions, risk management, accurate client materials, issue resolution, relationship development, and business growth activities. The role provides training on Merrill’s wealth management platform and products while preparing the employee to become a fully registered Financial Advisor. SAFE Act registration and background screening may be required for mortgage-related activities.