Director - Solution Architect

Evalueserve - Raleigh, NC

Hiring: Director - Solution Architect Company: Evalueserve Location: Raleigh, NC Job Posted Time: 2026-09-16 10:56:50 Employment Type: Remote Target Skills & Keywords : MLOps, Machine Learning, Microsoft Excel, REST About the job Experience: •12+ years of experience in data, analytics, AI/ML consulting, solution architecture, or enterprise technology delivery. Required Skills: •The AI Solution Architect will lead client-facing architecture, presales, and delivery for predictive, optimization, classification, forecasting, and decision-intelligence solutions. This role is suited to someone who can connect business priorities to robust AI/ML systems that are explainable, scalable, and operationally reliable. •Pre-Sale: Client Engagement & Solution Design •Partner with sales to lead technical discovery conversations with enterprise prospects seeking data, analytics, and machine learning solutions. •Translate client challenges into structured classical AI roadmaps covering use-case prioritization, data readiness, model design, deployment, and adoption. •Design and present end-to-end solution architectures for forecasting, optimization, anomaly detection, recommendation, and decision-support use cases. •Develop proof-of-concepts, solution estimates, and technical narratives that help shape pursuit strategy and accelerate deal closure. •Serve as the technical lead in client workshops, answering questions on model performance, explainability, feature engineering, and operationalization. •Own the solution through delivery, ensuring the final implementation aligns with the architecture, outcomes, and commercial commitments made during sale. Qualifications: •Proven experience with enterprise clients across industries such as financial services, retail, manufacturing, healthcare, or industrials. •Background in a client-facing technical role where you have shaped solutions and supported delivery. •Demonstrated success guiding projects from technical discovery to proposal, implementation, and handoff. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!