Enterprise AI & Data Architect (Cloud & Salesforce)

Hike2

Northern (KY)

Hybrid

USD 175,000 - 200,000

Full time

14 days+

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Job summary

HIKE2 seeks an Enterprise Technical Architect to shape, build, and deliver complex technology solutions for enterprise clients. This hands‑on role defines architecture across Salesforce, data platforms, AI, integrations, APIs, cloud services, and custom applications, with deep Salesforce expertise but a broad perspective on how these technologies work together to solve business problems.

The candidate thrives in ambiguity, rapidly learning unfamiliar landscapes, and partnering with delivery

Qualifications

12+ years of experience in technology consulting, architecture, engineering, or enterprise application delivery.
Significant experience as a Technical Architect, Solution Architect, Enterprise Architect, or equivalent senior technical leader.
Deep expertise across the Salesforce ecosystem, including Agentforce Sales, Agentforce Service, and Experience Cloud; experience with Data 360, Agentforce Marketing, and Salesforce Industry Clouds is a strong plus.
Demonstrated ability to architect solutions beyond Salesforce, spanning applications, data, integrations, APIs, cloud platforms, and custom technologies.
Strong knowledge of enterprise integration and data architecture, including APIs, middleware, event‑driven patterns, data platforms, modeling, governance, and distributed systems.
Experience designing and delivering AI and agentic solutions, including generative AI, AI agents, retrieval patterns, tool orchestration, and enterprise AI services.

Responsibilities

Translate complex business problems into pragmatic, scalable technical architectures.
Design solutions that span Salesforce, enterprise data platforms, AI, integrations, APIs, cloud technologies, and custom applications.
Evaluate existing client technology ecosystems and determine how platforms and capabilities should work together.
Make thoughtful architecture decisions based on business outcomes rather than defaulting to a particular technology or platform.
Define integration, data, application, security, and platform architecture patterns.
Balance near‑term delivery needs with long‑term scalability, maintainability, security, and technical strategy.
Prototype solutions, build technical spikes, and validate architectural approaches before large‑scale implementation.
Work directly with APIs, integrations, data models, platform configuration and development, AI services, and custom applications.
Review code, configurations, integration designs, data models, and technical implementations to ensure quality and architectural alignment.
Work alongside engineers to troubleshoot and resolve complex technical challenges when needed.
Help teams translate architecture and design decisions into working, production‑ready solutions.
Establish the technical vision, architecture, and guiding principles for complex programs while remaining closely connected to delivery.
Partner with engineers, data and AI teams, designers, product owners, architects, and client stakeholders to drive successful outcomes.