Senior AI Forward Deployed Engineer - Cogentiq I2C
Fractal Analytics2 months ago
Mumbai, India or Bengaluru, IndiaStaff+
Responsibilities
- Own the technical outcome and customer relationship for a portfolio of accounts from discovery through production rollout and scale.
- Define and defend deployment KPIs covering accuracy, straight-through processing, latency, cost, adoption, and business impact.
- Design AI agent topology, retrieval strategy, human oversight boundaries, integration approach, and data models.
- Make and document build-versus-configure-versus-product-extension decisions and own ERP, banking, and document infrastructure integrations.
- Lead and develop a deployment team, including scoping, sequencing, estimates, success criteria, and blocker removal.
- Act as incident commander for production failures and own root-cause analysis and remediation.
- Advise finance and IT leaders on system capabilities, residual risk, governance, model risk, human oversight, and responsible AI.
- Convert deployment learnings into reusable architectures, connector templates, evaluation packs, and deployment accelerators.
- Provide evidence-based customer feedback to the product roadmap and distinguish product gaps from customer-specific preferences.
Requirements
- 6 to 10 years of experience building and operating production systems, including at least two years in customer-facing delivery.
- A track record of taking at least one non-trivial AI system to production and operating it afterward.
- Strong Python and system design skills.
- Depth in LLM and agentic architectures, retrieval, evaluation methodology, guardrails, and observability.
- Cloud deployment experience at scale, with Azure preferred.
- Experience with containers and orchestration.
- Ability to discuss finance concepts including DSO, deductions, remittance advice, and cash application, or learn them within a quarter.
- Commercial judgment, including recognizing and escalating unpaid customer scope.
- Willingness to travel and embed with customers.
- Preferred: AI deployments in regulated industries, enterprise ERP integration, SAP S/4HANA or Dynamics 365 Finance and Operations experience, engineering mentorship or leadership, pre-sales or solution architecture exposure, and startup or product-building experience.
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.