Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Design, build, deploy, and optimize AI/ML and generative AI solutions on Databricks. Develop scalable Spark and Delta Lake data pipelines, operationalize models with MLflow, and build RAG and LLM applications. Implement MLOps practices including CI/CD, monitoring, governance, and model deployment. Collaborate with technical, data, engineering, and business teams to deliver enterprise-scale AI platforms and analytics solutions.

Architects enterprise AI/ML and MLOps platforms, translating business goals into scalable AI initiatives. Leads discovery, platform evaluations, proof-of-concepts, reference architectures, CI/CD automation, model lifecycle management, governance, observability, and responsible AI practices. Partners with data scientists, engineers, and platform teams while supporting client workshops, solution pursuits, and implementation roadmaps. Provides expertise across Snowflake, cloud platforms, machine learning infrastructure, generative AI, LLMOps, and emerging AI technologies.

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

Designs and delivers Salesforce Data 360 architectures that unify customer data and enable activation across Sales, Service, Experience, and Marketing. Leads discovery workshops, solution design, presales strategy, technical delivery, integrations, and architectural decisions. Advises on cloud data platforms, zero-copy patterns, identity resolution, transformations, and AI enablement. Mentors consultants, reviews technical work, manages risks, supports estimation, evaluates talent, and builds trusted client relationships.

Lead complex, fixed-fee programs across multiple workstreams, teams, and geographies. Own delivery, governance, financial performance, risk management, contractual commitments, executive stakeholder relationships, resource planning, and business outcomes. Drive delivery excellence and AI-enabled practices while partnering with technology and business leaders. Mentor project and delivery managers and develop high-performing teams.

Advise clients on business transformation by assessing strategies, operating models, processes, governance, and change environments. Design future-state capabilities, organizational structures, processes, and ways of working; develop roadmaps, business cases, and adoption plans; facilitate stakeholder alignment; measure business value; and support implementation. The consultant may lead workstreams, manage client relationships, contribute to sales pursuits, mentor colleagues, and apply AI to improve consulting delivery and transformation outcomes.

Own product vision, roadmap, backlog, requirements, user stories, success metrics, and stakeholder alignment. Lead enterprise-scale healthcare transformation programs through implementation and post-production support, managing scope, budgets, risks, governance, and Agile delivery. Coordinate Product, Engineering, QA, Data, Architecture, and business teams. Identify opportunities for AI, automation, analytics, and digital technologies in payer operations while driving adoption, change management, and benefits realization.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.