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15 часов назад

Senior AI Forward Deployed Engineer - Cogentiq I2C (Invoice-to-Cash)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Forward Deployed Engineer - Cogentiq I2C (Invoice-to-Cash) (Python/LLM): Building and operating production AI systems for finance organizations across strategic customer accounts with an accent on agentic architectures, retrieval, ERP integrations, and deployment governance. Focus on designing measurable proof-of-value pilots, leading deployment teams, managing production incidents, and converting customer learnings into reusable engineering assets.

Location: Bengaluru

Company

hirify.global develops AI solutions, including Cogentiq I2C for invoice-to-cash operations.

What you will do

  • Own the technical outcomes of Cogentiq I2C deployments across strategic customer accounts, from discovery through production rollout and scale.
  • Define deployment KPIs covering accuracy, straight-through processing, latency, transaction cost, adoption, and business impact.
  • Design architectures covering agent topology, retrieval, human oversight, integrations, data models, and build-versus-configure decisions.
  • Lead proof-of-value and pilot scoping, estimate effort, set measurable success criteria, and coordinate deployment engineers and specialists.
  • Act as incident commander for production failures, leading root-cause analysis and remediation.
  • Advise finance and IT leaders on governance, model risk, responsible AI, and system limitations while turning deployment learnings into reusable assets.

Requirements

  • 6–10 years of experience building and operating production systems, including at least two years in customer-facing delivery.
  • Experience taking at least one non-trivial AI system to production and operating it afterward.
  • Strong Python and system design skills, with depth in LLM and agentic architectures, retrieval, evaluation methodology, guardrails, and observability.
  • Experience with cloud deployment at scale, containers, and orchestration; Azure is preferred.
  • Ability to discuss DSO, deductions, remittance advice, and cash application, or demonstrate the ability to develop this finance vocabulary within a quarter.
  • Willingness to travel and embed with customers, with strong commercial judgment around scope and customer requests.

Nice to have

  • AI deployment experience in regulated industries.
  • Enterprise ERP integration experience, especially SAP S/4HANA or Dynamics 365 Finance and Operations.
  • Experience mentoring or leading engineers.
  • Pre-sales or solution architecture experience.
  • Startup or product-building experience shaped by customer feedback.

Culture & Benefits

  • Customer-focused environment with an emphasis on passion and technical ownership.
  • Opportunity to lead deployment teams and influence the product roadmap through evidenced customer feedback.
  • Role includes direct collaboration with customer sponsors and IT leadership.

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