Hiring AI-Tech Lead | AVP for AI Center of Excellence.

As a hiring partner for many IT organizations we are hiring AI Tech Lead to contribute into AI Center of Excellence-COE.

This is direct full time on the payroll of hiring organization as their permanent employee.

Job Description AI Tech Lead (AVP / DGM Grade)

Location: Bangaluru

Experience: 10-15 Years ( Relevant 5+ Yrs in AIML)

# Key Skills :

AI Solutions, AI Architecture,development delivery,AI Solution Architecture,Predictive ai, Genai, Agentic ai,

ai coe with Technical roadmap,AI strategy,MLOPs,Data pipeline,Data Engineering,etl,Python,llm,Gen ai,predictive AI modeling,AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex),

# Highlight :

Own and drive AI Architecture,Solutions,development delivery.
end to end ai solutions across Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
Ai-coe with Technical roadmap,AI strategy,MLOPs,Data pipeline,architectural decisions.
Project Delivery and Execution including all phases i.e. Requirement Analysis Architecture Model Development Engineering Deployment Monitoring.
Architect and build complex AI systems involving: (LLM,GenAI apps,Predictive modeling,Data Engineering,Cloud (Azure/AWS)

## Role and Responsibilities :

Key Responsibilities

Solution Architecture Strategy
Project Delivery Execution Leadership
Technical Hands-on Expertise
Team Leadership Mentoring
Stakeholder Client Management
Technical Skills

Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).

Hands-on Experience Building Applications Using

llm, rag, fine tuning, prompt engineering
Autonomous AI agents multi-agent systems
Predictive ML models (Regression, Classification, Clustering, nlp, cv)

Expertise in microservices architecture, API design, scalable deployments.

Strong command over sdlc, Agile methodologies, CI/CD, devops MLOps.

Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

This job is provided by Shine.com

AI Tech Lead-COE