Senior Forward Deployed Engineer (FDE 2) (Eng 2)- Lead Level

Devlats; Chennai District; On-site; INR 4,000,000 - 4,200,000; Full time

Job summary

Devlats in Chennai, India seeks a Senior Forward Deployed Engineer (FDE 2) to lead GenAI integration across large enterprise ecosystems. You will be a hands-on architect with deep data engineering expertise, connecting legacy systems, ERPs and CRMs, and shaping multi‑step data pipelines and ML components.

You will design event‑driven architectures, select database types (RDB, NoSQL, Graph), and guide customers with architectural decisions.

Qualifications

• 5–8 years of relevant experience in systems integration.
• Strong data engineering and data pipeline design skills.
• Experience with GenAI integration into enterprise ecosystems.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Integrate LLM solutions with legacy systems (ERPs, CRMs).
• Design architectures using Graph Databases and Vector Stores.
• Build robust ETL/ELT data pipelines for GenAI.
• Mentor Lead and Junior FDEs; manage client expectations.

Skills

Data Engineering

GenAI integration

ML knowledge

Stakeholder management

Education

B.Tech/B.E.

Tools

Graph Databases

Vector Stores

SQL

ETL/ELT

MapReduce

Job description

Senior Forward Deployed Engineer (FDE 2) (Eng 2)- Lead Level

Full time

Job Description

Consultant

Job Summary

25-28 Years

B.tech/ BE

CTC:upto 40-42 LPA

About the job:

• JobPosition: Senior Forward Deployed Engineer (FDE 2) (Eng 2)- Lead Level
• Notice Period: Immediate - 15 Days

Job details:

• Overview:
• Focus: Systems Integration, Data Engineering & Complex Logic
• Experience: 5–8 Years
• Role Summary:
• You are a hands‑on architect who understands how to integrate Generative AI into complex, existing enterprise ecosystems. You possess strong Data Engineering skills and a grasp of Classical Machine Learning. You integrate GenAI into enterprise ecosystems involving legacy systems, complex data estates, and multi‑step data pipelines.
• Key Responsibilities:
• Complex System Integration: Integrate LLM solutions with legacy systems (ERPs, CRMs) and multiple data sources. Design systems that utilize Graph Databases or complex SQL queries alongside Vector Stores.
• Data Engineering: Build robust data pipelines (ETL/ELT) for GenAI strategies. Understand MapReduce principles and data structure analysis.
• Hybrid AI Approach: Know when to use Classical Machine Learning (Regression, Classification) versus Generative AI.
• Data Strategy: Formulate data strategies for clients, selecting the right database types (RDB, NoSQL, Graph, In‑memory Cache) for the specific use case.
• data governance: Implement lineage, PII handling, access control.
• Architecture: Build event‑driven architectures and multi‑agent orchestration.
• Testing: Strategize and conduct integration testing, regression testing, QA.
• Customer Guidance: Provide architectural guidance and educate customers.
• Qualifications:
• Technical Requirements:
• ML Knowledge: Understanding of statistics, classical ML algorithms, and data structure analysis.
• Soft Skills:
• Strong stakeholder management across engineering, data, and business.
• Ability to simplify complex technical concepts for non‑technical leaders.
• Solution‑oriented thinking under ambiguity.
• Mentorship and coaching of Lead and Junior FDEs.
• High empathy and customer‑centric design approac

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