About The Position

Overview: Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. 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.

Requirements

  • Systems Integration, Data Engineering & Complex Logic
  • 5–8 Years
  • Data: Pandas, SQL optimization, Graph DBs (Neo4j), Vector Database internals.
  • Integration: Event-driven architecture, Enterprise Service Bus patterns, Multi-agent orchestration.
  • ML Knowledge: Understanding of statistics, classical ML algorithms, and data structure analysis.
  • Security: IAM, governance, audit trails.
  • 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 approach.

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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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