Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs and leads scalable AI/ML architectures for clients across cloud platforms, including data pipelines, model development, deployment, monitoring, and governance. Advises stakeholders on AI strategy, leads discovery workshops, oversees delivery, establishes AgenticOps practices, supports presales, and develops reusable AI offerings. The role also promotes responsible AI, mentors teams, and contributes to thought leadership and go-to-market initiatives.

Designs and delivers enterprise integration and API solutions using MuleSoft across client engagements. Responsibilities include architecture, SDLC delivery, stakeholder advising, technical documentation, standards development, mentoring, solution estimation, presales support, and knowledge sharing. The role requires extensive MuleSoft, integration, API, cloud, database, CI/CD, security, and emerging AI experience, including LLMs, RAG, prompt engineering, and agentic architectures.

Designs and leads cloud architecture solutions for client projects, defining technical direction, architectural standards, integration strategies, and phased software delivery. Leads development teams, collaborates with clients and stakeholders, reviews code, resolves technical issues, and supports cloud implementations. The role also contributes to assessments, technical strategy, solution documentation, estimates, work plans, and business development efforts across AWS, Azure, and GCP environments.

Designs and leads enterprise Salesforce implementations for consulting clients, including custom development, integrations, data migration, architecture, environment strategy, release management, and DevOps. Advises technical and business stakeholders, contributes to presales solution design, establishes architectural standards, mentors developers and architects, and delivers scalable solutions across Salesforce clouds and managed packages.

Partner with clients to design and deliver Salesforce solutions across the software development lifecycle. Lead technical design sessions, architect and document solutions, manage custom development, integrations, and data migration, and provide expert guidance to developers. The role also involves managing technical scope and client expectations, optimizing business processes, and demonstrating technical thought leadership in consulting engagements.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.

Leads complex technology consulting engagements and cross-functional delivery teams. Develops project plans and roadmaps, manages milestones, risks, issues, and stakeholder decisions, and applies Agile, Waterfall, or hybrid methodologies. Performs hands-on analysis, design, process engineering, and change management as needed. The role emphasizes Microsoft Dynamics 365 and Power Platform implementations, CRM and ERP projects, enterprise integrations, client relationship management, and mentoring project management professionals.

Develop and maintain enterprise applications, integrations, APIs, microservices, cloud and serverless solutions, and web front ends in a client-facing consulting environment. Responsibilities include applying object-oriented design, collaborating with clients and technical teams, communicating solutions, mentoring developers, and delivering scalable, maintainable systems. The role requires full-stack development across Microsoft or Java technologies, modern front-end frameworks, databases, distributed systems, AI agent development, source control, and performance optimization.

Analyze business processes, systems, and datasets to define requirements, develop data models, improve data quality, implement governance, and generate actionable insights. The role includes statistical analysis, ETL and data wrangling, database and analytics development, reporting and visualization, and communication with technical and business stakeholders. Data Analysts collaborate with engineers, architects, scientists, and product owners to deliver client solutions in an Agile consulting environment.