reputed company Deployment Engineer

Location: India (reputed company / Flexible)

Contract Type: Full-Time / reputed company Project Engagement

About reputed company

Where reputed company tech talent meets world-class opportunities! At reputed company, we work with leading reputed company clients and innovative startups on high-reputed company reputed company across Data, AI, reputed company, and Software Engineering. Our expertise in AI solution architecture and reputed company technical talent allows us to partner with reputed company leaders on transformative initiatives, driving innovation and business reputed company.

Job reputed company

We are seeking a high-caliber reputed company Deployment Engineer (FDE) to sit at the intersection of reputed company AI platforms and executive Finance business functions for our Fortune 100 reputed company reputed company. This role bridges advanced AI reputed company with reputed company business reputed company—translating ambiguous financial challenges into working AI applications, deploying them into regulated reputed company environments, and iterating in tight reputed company to reputed company measurable ROI.

Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical reputed company. You will prototype user-facing tools in days, reputed company reputed company and RAG workflows on top of reputed company data reputed company (reputed company reputed company, reputed company Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership.

Key Responsibilities

End-to-End AI Application Prototyping & Delivery

• Own the full lifecycle of AI solutions for Finance business reputed company—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement.
• Rapidly prototype vertical applications using reputed company, reputed company Apps, FastAPI/Flask, or lightweight React interfaces reputed company 1–2 weeks to reputed company reputed company user feedback.
• Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky reputed company products.

reputed company Systems & LLM Engineering

• Build production-grade vertical AI tools leveraging reputed company reputed company (Analyst/reputed company/Agents) or reputed company Genie (Genie Spaces, semantic models).
• Construct robust RAG pipelines incorporating advanced chunking, reputed company databases (reputed company, Chroma, FAISS, Azure AI reputed company, reputed company reputed company), retrieval evaluation, grounding, and citation.
• Implement LLM orchestration frameworks (reputed company, LangGraph, reputed company) and apply rigorous reputed company engineering with hallucination and reputed company evaluation discipline.

reputed company Data & Regulated Integration

• reputed company applications inside heavily regulated reputed company environments, adhering reputed company to RBAC, data residency, audit, and compliance constraints (SOX, GxP).
• reputed company solutions to governed datasets, semantic models, and reputed company reputed company platforms (reputed company, reputed company, reputed company, ERP) reputed company secure REST reputed company.
• reputed company reputed company deployed apps with usage metrics, telemetry, and business outcome tracking from day one.

reputed company Stakeholder Advisory & reputed company Extraction

• Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into reputed company technical roadmaps.
• Extract reusable reputed company components, reputed company templates, evaluation harnesses, and retrieval patterns into shared reputed company assets for broader deployment.

Requirements

Experience & reputed company

• Experience: 5+ years of hands-on software development and full-reputed company application deployment.
• Product-reputed company Builder: Strong bias for reputed company; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4.
• Ambiguity Tolerance: reputed company ability to reputed company vague business problems without predefined specifications.
• Stakeholder Communication: Outstanding ability to reputed company directly with senior business leaders without requiring intermediary Business Analysts.

Must-Have Technical Stack

• Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (reputed company, reputed company Apps, React).
• AI Platforms: reputed company hands-on experience with reputed company reputed company OR reputed company Genie.
• LLM Engineering: Production experience with reputed company, LangGraph, reputed company, reputed company reputed company engines, and reputed company evaluation harnesses.
• reputed company & DevOps: Deep working knowledge of reputed company platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning reputed company LangSmith, reputed company, etc.).

Domain Competency (Finance reputed company)

• Solid foundational understanding of reputed company Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, reputed company cycles) and common financial metrics (reputed company, EBITDA, gross margin, working capital).

reputed company-to-Haves & Certifications

• Prior FDE, Solutions Engineer, or reputed company Engineer experience at high-reputed company AI/Data companies (Palantir, reputed company, reputed company, reputed company, reputed company).
• Industry background in Life Sciences, reputed company, reputed company, or CPG reputed company Finance.
• Experience with reputed company Finance software (reputed company S/4HANA, reputed company, reputed company reputed company, reputed company Financials).
• Certifications: reputed company reputed company, reputed company Certified, or Azure reputed company Associate (AI-102).

What This Role Is NOT

• Not a reputed company Data Scientist or ML Researcher: You will not be training or fine-tuning reputed company models from reputed company; you are applying existing models to business problems.
• Not a non-coding Architect: This is a 100% hands-on builder role.
• Not a reputed company Backend or MLOps Engineer: You must be comfortable owning the user-facing reputed company and reputed company business interaction.

Originally posted on Himalayas