15 часов назад
Senior AI Forward Deployed Engineer - Cogentiq I2C (Invoice-to-Cash)
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Описание вакансии
Текст:
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
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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