AI Solutions Architect

AI Solutions Architect & Engagement Lead

JOB Location:
Greensboro–Winston-Salem–High Point

About Latent View

Latent View Analytics is a global dataanalytics and AI solutions company that partners with Fortune 500 andhigh-growth clients to turn data into competitive advantage. Our teams combine deep technical expertise with business context to ship measurable outcomes —not just models and dashboards — across industries.

JOB DESCRIPTION serve as the primary face of our teamat the client site, acting as a trusted advisor to executive sponsors, business leads, and analytics leaders. In this dual-impact role, you will lead theend-to-end delivery of an enterprise-grade AI platform while actively driving strategic growth, identifying expansion opportunities, and scaling our footprint within the client’s ecosystem.

You will bridge the gap between business strategy and technical execution—owning stakeholder management,account growth, team leadership, and the high-level architecture of scalable AIand data solutions built on cloud-native infrastructure (Azure Databricks (Goodto have)).

Key Responsibilities
1. Account Growth & Strategic Business Development (Growth& Leadership)

• Identify & Expand Opportunities: Proactively identify new AI, analytics, and data engineering usecases across client business units (e.g., e-commerce, legal, supply chain,digital marketing) to expand our account presence and team footprint.
• Executive Relationship Management: Build and nurture strong relationships with clients, and positioning our team as the primary strategic AI partner.

2. Client Delivery & Program Leadership

• Risk & Change Management: Proactively identify project risks, manage dependencies, handle scope adjustments, and ensure smooth operational clearance on the ground.
• UAT & Change Management: Facilitate business user walkthroughs, manage change adoption,and secure formal executive sign-offs for platform milestones.

3. High-Level Solution Architecture & Delivery Oversight

• Architectural Guidance: Oversee the strategic design of enterprise AI platforms, ensuring high-level solutions align with client cloud standards (Azure Databricks Lakehouse(Good to have))
• Data & AI Strategy Oversight: Guide the overall architecture for large-scale data ingestion(PIM/PLM, vendor APIs, heavy unstructured files), governance frameworks, and automated validation pipelines (LLM-as-a-Judge frameworks).
• Cost & Resource Optimization: Establish governance frameworks for AI model spending, token utilization, and infrastructure cost controls for client stakeholders.
• Bridge to Offshore: Translate complex client business requirements into structured deliverables, guiding the offshore engineering pod to execute high-quality solutions on time.

Qualifications & Experience

• Enterprise AI & Data Strategy: Strong architectural knowledge of modern data platforms(Databricks, Lakehouse architecture) and Generative AI patterns (RAG, agenticworkflows, multi-model evaluation frameworks).
• Delivery Management & Governance: Demonstrated experience managing end-to-end Agile software delivery, sprint execution, risk escalation, and change management.
• Business Acumen: Ability to translate complex technical concepts into clear business ROI for non-technical executives and brand leaders.
• Technical Background: Prior hands-on experience in data engineering, AI/ML, or enterprise cloud solutions, enabling effective oversight of technical teams and architectural decisions.

Required Skills

• Account Growth & Business Expansion: Proven ability to identify new business opportunities across enterprise client teams to grow current accounts and expand team footprints.
• Client Engagement & Program Delivery: Demonstrated success in leading onsite client engagements,managing executive stakeholders,…