Director of Data & AI Engineering

Job Information Industry

IT Services
Current Openings

1
Job Type

Full time
Work Experience

years

Salary

As per company standards
Date Opened

05/04/2026
Hiring Manager

Vaishali Agrawal
City

Bangalore
State/Province

Karnataka
Country

India
Zip/Postal Code

560112

Job Description

We are seeking a highly experienced and technically strong leader to head our Data . AI Engineering function. This role will be responsible for driving the technical vision, delivery excellence, and AI-first transformation across our data engineering and analytics teams.
The ideal candidate will bring a hands-on leadership approach, combining deep expertise in data platforms and applied AI with the ability to guide teams, architect scalable solutions, and deliver measurable business outcomes.
Role Summary: -----------------

This position requires a strategic yet hands-on leader who can operate across data engineering, analytics, and AI, and drive the organization toward becoming a truly AI-native delivery function. The role demands a balance of **technical depth, leadership capability, and business acumen to deliver impactful, scalable, and future-ready solutions.
Key Responsibilities:**

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• Define and implement the AI-first engineering strategy, including standards, frameworks, and best practices across all engagements

• Lead, mentor, and scale a cross-functional team of data engineers, analysts, and integration specialists

• Drive adoption of AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) as an integral part of the engineering workflow

• Design and deliver advanced AI solutions, including:

+ LLM integrations ( Large Language Model)
+ Prompt engineering frameworks
+ Agentic workflows
+ RAG-based architectures

• Architect and oversee end-to-end data solutions, including cloud data platforms, ERP integrations, and reporting systems

• Act as the technical authority, providing hands-on guidance through solution design, code reviews, and engineering best practices

• Collaborate with internal stakeholders and clients to identify opportunities for AI-driven optimization and automation

Establish and enforce *data governance, quality standards, and responsible AI practices.
Required Experience**

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• 10. years of experience in data engineering, analytics, or data platform development

• Minimum 5 years of hands-on experience in applied AI/ML, including LLMs and modern AI frameworks

• Proven, day-to-day experience with AI-assisted development tools (such as Cursor, Claude Code, GitHub Copilot)

• Demonstrated success in leading technical teams within consulting or managed services environments

• Strong ability to translate technical solutions into business value for stakeholders. Mandatory Key Skills ------------------------

Core Technical Skills

• Strong proficiency in Python and SQL (including stored procedures)

• Hands-on experience with cloud data platforms (Azure, Snowflake, Databricks)

• Expertise in building and managing ETL/ELT pipelines

Experience with *business intelligence tools (Power BI, Tableau, Looker)

AI . Advanced Capabilities**

• Deep understanding of:

+ Large Language Models (LLMs) + Prompt engineering techniques + RAG (Retrieval-Augmented Generation) architectures + Agentic AI frameworks

• Experience designing and deploying production-grade AI solutions

Regular usage of *AI-assisted development tools in coding and delivery workflows

Leadership . Stakeholder Skills**

• Proven experience in team leadership, mentoring, and capability building

• Strong architecture and code review expertise

Ability to communicate effectively with both *technical and non-technical stakeholders

Business . Consulting Orientation**

• Strong problem-solving skills with the ability to convert business requirements into scalable technical solutions

• Experience in client-facing roles and consulting environments

Ability to articulate *business impact and ROI of data and AI initiatives
Preferred Qualifications (Good to Have)**

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• Experience with ERP platforms (SAP, Dynamics, Plex)

• Familiarity with workflow automation tools (e.g., n8n)

• Background in leading analytics consulting firms (e.g., Tiger Analytics, Fractal, Tredence)

• Contributions to open-source AI or data engineering projects.

below are the Mandatory skill sets

• Strong programming expertise in Python and SQL (including stored procedures)

• Hands-on experience in building and managing ETL/ELT data pipelines

• Experience with cloud data platforms (Azure, Snowflake, Databricks)

• Solid understanding of data architecture and end-to-end data engineering workflows

• Proven hands-on experience with Applied AI, including:

+ Large Language Models (LLMs)
+ Prompt Engineering
+ RAG (Retrieval-Augmented Generation) architectures
+ Agentic AI / workflow frameworks

• Demonstrated experience in building and deploying AI solutions in production environments

• Regular, hands-on usage of AI-assisted development tools such as:

+ Cursor
+ Claude Code
+ GitHub Copilot

• Experience in technical leadership, including:

+ Leading/mentoring engineering teams
+ Solution architecture and design
+ Code reviews and technical governance

• Strong understanding of data . analytics ecosystem, including BI tools (Power BI, Tableau, or Looker)

• Experience working in client-facing or consulting environments

• Ability to translate business requirements into scalable technical solutions

Strong *communication and stakeholder management skills, including explaining technical concepts to non-technical audiences