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Specialized AI deployment role in a metro area with mid-senior experience and moderate employer brand.
Role requires ML deployment plus finance and ERP expertise, making background highly domain-sensitive.
Explicit 6-10 years plus mandatory LLM, cloud, Python, and customer-facing production experience required.
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Own the technical success of Cogentiq I2C solutions across multiple strategic finance accounts from discovery through production and scale.
Lead and architect AI system designs that reduce days sales outstanding and minimize small-balance deductions, ensuring integration with customer ERP and finance systems.
Manage and grow a deployment team, serve as primary technical liaison for customer sponsors, set and defend deployment KPIs, and act as incident commander for production issues.
6 to 10 years experience building and operating production AI systems, including minimum 2 years customer-facing delivery.
Strong proficiency in Python, deep system design skills, and expertise with LLMs, agentic architectures, retrieval strategies, and observability.
Experience with cloud deployment at scale, preferably Azure, including containers and orchestration.
Sufficient finance domain knowledge (DSO, deductions, remittance advice, cash application) to engage with finance and IT stakeholders without translator.
Experienced in taking complex AI systems to production and sustaining their operation in finance-related billing or collections use cases.
Skilled at balancing custom solution design with scalable product extension, able to decline unmaintainable bespoke work.
Capable deployment leader with prior experience mentoring engineers and managing cross-functional teams within enterprise or regulated industry environments.