Jubilee Hills Hyderabad Telangana Forward deployed engineer Jobs – 95 Open Jobs Today

Forward Deployment Engineer
Xenon7 —Hyderabad, Telangana
- Full-time
- Remote
- Azure
- Oracle
- DevOps
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2d
Forward Deployed Engineer
Darwinbox —Hyderabad, Telangana
- Full-time
- Oracle
- Computer Science
- Salesforce
Forward Deployed AI/ML Engineer
Inspiredge IT Solutions —Hyderabad, Telangana
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick apply
14d
Forward Deployed Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Software troubleshooting
- Analysis skills
- AI
Forward Deployed Engineer - India
Pulsora, Inc. —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- SQL
Forward Deployed Engineer
Workato —Hyderabad, Telangana
- Remote
- Computer Science
- Salesforce
- English
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Forward Deployed Engineering Leader- Microsoft AI Business Solutions
Crowe Capability Center - India —Hyderabad, Telangana
- Full-time
- Azure
- Customer service
- APIs
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2d
Software Engineer | Database Engine
SingleStore —Hyderabad, Telangana
- Computer Science
- B.Sc
- SQL
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Sr. Linux Engineer
Warner Bros. Discovery —Hyderabad, Telangana
- Weekend availability
- Azure
- Computer Science
- Windows
AI Engineer
OrangeShark —Hyderabad, Telangana
- Full-time
- Master's degree
- JavaScript
- APIs
Forward Deployed Senior Software Engineer
Redwood Software Inc. —Hyderabad, Telangana
- Email
- Computer Science
- ERP systems
- Java
Senior Software Engineer(Forward Deployed)
Recruise —Hyderabad, Telangana
- ₹30 - ₹50 an hour
- Full-time
- ERP systems
- Java
- Databases
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2d
Senior Forward Deployed Engineer (Sr ML Engineer)
Amgen —Hyderabad, Telangana
- Computer science
- Master's degree
- SQL
Senior AI Engineer
SkyLarn AI Technologies Pvt Ltd —Gopanpally, Hyderabad, Telangana
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Flexible schedule
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AI/ML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- SQL
- Health insurance
23h
Full-Stack AI Engineer
Milestone Technologies, Inc. —Hyderabad, Telangana
- Master's degree
- AWS
- Bachelor's degree
Cloud Platform Engineer - Kubernetes, Officer
State Street —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Bachelor's degree
- Health insurance
QSC Q-Sys Operations Remote Support Engineer - APAC
EOS —Hyderabad, Telangana
- Remote
- Engineering
- Analysis skills
- Bachelor's degree
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App Developer - AI/ML
Warner Bros. Discovery —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Head of Tech (Engineering & AI)
Portcast —Hyderabad, Telangana
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- System design
Quick apply

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Forward Deployment Engineer

Xenon7
Hyderabad, Telangana

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Job details

Full-time
2 days ago

Qualifications

CI/CD
Azure
Oracle
Law
React
Full-stack development
Software deployment
SAP
DevOps
Git
SOX
Master's degree
SQL
RBAC
AWS
Continuous integration
Azure Certification
Back-end development
REST
Software development
SAP S/4HANA
APIs
Flask
Solution architecture
AI
Python
Workday

Full job description

Location: India (100% Remote / Flexible)

Contract Type: Full-Time / Enterprise Project Engagement

About Xenon7

Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.

Job Summary

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

Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Snowflake Cortex, Databricks 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 units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement.
Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback.
Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products.

Agentic Systems & LLM Engineering

Build production-grade vertical AI tools leveraging Snowflake Cortex (Analyst/Search/Agents) or Databricks Genie (Genie Spaces, semantic models).
Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation.
Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline.

Enterprise Data & Regulated Integration

Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP).
Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs.
Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one.

Strategic Stakeholder Advisory & Pattern Extraction

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

Requirements

Experience & Mindset

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

Must-Have Technical Stack

Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React).
AI Platforms: Direct hands-on experience with Snowflake Cortex OR Databricks Genie.
LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses.
Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.).

Domain Competency (Finance Focus)

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

Nice-to-Haves & Certifications

Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Snowflake, Databricks, OpenAI, Anthropic).
Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance.
Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials).
Certifications: Snowflake Cortex, Databricks Certified, or Azure AI Engineer Associate (AI-102).

What This Role Is NOT

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

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