AI Business Systems Engineer (REMOTE)

C-4 Analytics•Wakefield, MA

25d•$100,000 - $130,000•Remote

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. This role is focused on building durable, governed AI systems that become part of C-4’s core business infrastructure, optimizing services over time and thinking in org-wide flows.

Requirements

Typically 4+ years of professional experience owning systems end-to-end.
Demonstrated history of shipping solutions that other teams rely on daily.
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.
Deep, hands-on understanding of modern AI models.
Experience shipping AI into production workflows.
Strong intuition for how a fast-paced organization operates.
Comfort with senior leaders.
Clear communication on goals and tradeoffs.
Thinks in systems (inputs/outputs/failure modes).
Fluent in APIs and data structures.
Drives relentlessly for reliability and scalability.

Nice To Haves

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

Responsibilities

Serve as the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.
Map processes, spot bottlenecks, and eliminate manual effort with AI solutions.
Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.
Design and execute AI-powered workflows using modern automation tools and APIs.
Apply AI for decision support, content generation, classification, and data enrichment.
Integrate internal systems (CRM, data platforms, cloud tools) to ensure seamless connectivity.
Own projects from concept to production, ensuring reliability and business relevance.
Serve as the internal expert on the latest AI models and tooling.
Build cross-functional business systems, not isolated tools.
Go from whiteboard concept to live, production workflow.
Focus on business impact and ROI.
Push back on weak ideas, even with senior stakeholders.