Job Description :
Role : Lead Data &
- AI (Technical Program Lead)
Experience : 7 years
Focus : Data Analytics, AI Enablement, Data Platforms
Location : Bangalore / Hybrid
Position Overview :
We are looking for a Lead Data &
- AI Architect who can act as a technical program leader and solution architect. This role is suited for a deeply technical player-coach with architectural depth and strong hands-on production engineering capability, responsible for personally building core prototypes, reviewing complex code, guiding engineering teams, ensuring sound design decisions, and accelerating delivery of AI-enabled data products.
Key Responsibilities :
1. Architecture &
- Solution Design :
- Define end-to-end architecture for data, analytics, and AI use cases using cloud-native and Databricks-based platforms.
2.
Technical
Leadership &
- Governance :
- Establish standards for team code quality through rigorous code reviews and GitHub workflows, guiding engineering teams on design patterns, clean Python modular coding, and performance optimization through active technical mentoring.
3. AI &
- Data Use Case Enablement :
- Lead the hands-on implementation and deployment of key use cases such as :
- Duplicate payment detection (building high-precision matching engines ML-assisted approaches)
- Procurement analytics, trend forecasting, and decision-support dashboards
- Document processing pipelines using advanced OCR/Document AI, managing noisy extraction phases with tactical engineering
- Conversational analytics using LLMs (building and evaluating production RAG-based patterns)
4. LLM &
- AI Architecture Oversight :
- Define patterns for LLM integration, vector search, and secure data access. Hands-on prototyping of core technical components and baseline models is an absolute requirement.
5. Program &
- Stakeholder Alignment :
- Translate business requirements into technical solutions and communicate trade-offs to stakeholders.
6.
Delivery Acceleration :
- Enable rapid prototyping and MVP delivery by working closely with engineering squads, writing baseline code, and removing technical blockers.
Technical Skills (Prioritized, Not Mandatory All) :
- Strong hands-on experience in data platforms (Databricks / Spark / SQL)
- Practical expertise in building LLM architectures, RAG patterns, and vector databases
- Mastery of Python, OOP concepts, and production data engineering workflows
- Experience implementing OCR / Document AI tools (hands-on pipeline construction required)
- Exposure to ERP data (SAP preferred) is a plus, not mandatory
- Experience deploying workflows on cloud platforms (AWS/Azure/GCP)
Required Experience :
- 7 years in data engineering, analytics, or AI architecture
- Proven experience designing and writing code for enterprise-scale data solutions
- Extensive hands-on deployment of AI/ML or LLM-based applications in production
- Strong ability to code alongside teams, mentor resources, and drive technical decisions
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