Senior AI Architect

Experient Group • Atlanta, GA

21h • Hybrid

About The Position

As a Sr AI Architect at Experient, you’ll lead the design and delivery of scalable, future-ready platforms that integrate AI into the core of our clients’ business and technology strategies. Your focus will span enterprise architecture, LLM application, data integration, and cloud-native systems — while ensuring alignment between technical execution and business value. Typical client engagements may include: Designing AI-enabled marketing, customer, or analytics platforms from the ground up — often where data is fragmented and strategy is undefined. Leading modernization of legacy enterprise systems to cloud-native, intelligent platforms that support evolving product strategies while identifying AI based used cases to quickly design, test, and integrate. Advising clients on how to architect AI capabilities into multi-tenant SaaS platforms or complex, highly integrated ecosystems. Every engagement involves working across the stack and across functions — from engineering teams to C-level executives.

Requirements

• 10+ years of experience in enterprise architecture, with a strong focus on AI, data platforms, cloud services, and modern application development.
• Strong hands-on skills in areas like Python, modern APIs, orchestration frameworks, cloud infrastructure (AWS), and AI pipelines.
• Experience designing intelligent systems across marketing, customer, analytics, or product platforms.
• Consulting experience is required — you must be comfortable owning client conversations, aligning executive stakeholders, and managing ambiguity.
• Proven ability to communicate seamlessly across technical and non-technical audiences , from engineers to C-level.
• A product and platform mindset — with a focus on modularity, reusability, and scale.
• Deep understanding of cloud-native architectures, microservices, data flows, and system interoperability.
• Strong systems thinking with the ability to balance near-term delivery and long-term extensibility.

Responsibilities

• Lead architectural design for enterprise AI initiatives, driving integration across data, application, and analytics layers.
• Partner with clients to shape platform strategy, identify quick wins, and align long-term architectural goals.
• Design cloud-native, multi-tenant systems and scalable component frameworks (primarily in AWS).
• Build and prototype intelligent features using AI frameworks, while leading the implementation of orchestration and automation layers.
• Provide expert guidance on data strategy and AI governance.
• Translate complex technical concepts into clear business value — and vice versa — across engineering teams, business units, and executive stakeholders.
• Collaborate with cross-functional teams to define delivery plans, technical roadmaps, and team composition.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees