AI Business Systems Engineer (HYBRID)

C-4 Analytics•Wakefield, MA

24d•$100,000 - $130,000•Hybrid

About The Position

C-4 Analytics is seeking an AI Business Systems Engineer to serve as a cross-functional builder and thought partner for applying AI across the company. This is a business-first role for someone who deeply understands how organizations operate, can identify high-leverage opportunities for automation and intelligence, and has the technical fluency to design and implement solutions end-to-end. The ideal candidate combines strong business judgment, an engineering mindset, and an expert-level understanding of modern AI capabilities. The company values local candidates but is open to remote opportunities for exceptional individuals. The role requires a blend of business process strength, an engineering mindset, and AI expertise, focusing on building and implementing AI-powered solutions with a clear business impact.

Requirements

Experience building cross-functional business systems, not isolated tools.
Ability to go from whiteboard concept to live, production workflow.
Focus on business impact and ROI, not novelty for its own sake.
Comfort pushing back on weak ideas, even with senior stakeholders.
Proven track record in building cross-functional systems.
Strong familiarity with AI models.
Experience with automation platforms and APIs.
Excellent communication skills.
Typically 4+ years of professional experience owning systems end-to-end.
Demonstrated history of shipping solutions that other teams rely on daily.

Nice To Haves

Background in operations/consulting.
Experience with CRMs/data platforms.
Light scripting (Python/JavaScript).

Responsibilities

Be the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.
Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions.
Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.
Design and execute game-changing, AI-powered workflows using modern automation tools and APIs.
Apply AI for decision support, content generation, classification, and data enrichment.
Ensure internal systems (CRM, data platforms, cloud tools) are seamlessly connected.
Take projects from lightbulb moment to production, ensuring reliability and business relevance.
Serve as the internal expert on the latest AI models and tooling.