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

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

Job summary

Devlats in India (Chennai) seeks a Senior Forward Deployed Engineer to lead GenAI integration into complex enterprise ecosystems. You will be a hands-on architect combining data engineering with classical ML to deliver scalable AI-powered solutions.

You will mentor Lead and Junior FDEs, manage stakeholder expectations across engineering, data and business domains, and guide customers with architectural decisions.

Qualifications

• Hands-on architect with GenAI in enterprise ecosystems.
• Strong data engineering and ML fundamentals.
• Ability to simplify complex concepts for leaders.
• Mentor Lead and Junior FDEs.
• Stakeholder management across engineering, data and business.
• Experience integrating AI into legacy systems.

Responsibilities

• Integrate LLM solutions with ERPs/CRMs and data sources.
• Build robust data pipelines (ETL/ELT) for GenAI.
• Design event-driven architectures and multi-agent orchestration.
• Plan integration testing and QA.
• Provide architectural guidance to customers.

Skills

GenAI integration

Data engineering

Classical ML

Stakeholder management

Architectural guidance

Mentorship

Lead/Lead-level mentoring

Education

B.Tech / BE

Tools

Graph Databases

Vector Stores

ETL/ELT

MapReduce

SQL

Job description

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

Full time

Posted on 12/01/2026

Location:

Job Type:

Full time

Experience: 25-28 Years

Qualification: B.tech/ BE

Skills

Budget

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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