AI Tech Lead-COE
Shine.com · Mumbai, Maharashtra, India
- On site
- Full-time
- $150,000 / year
- Mumbai, Maharashtra, India
Job highlights
- Lead AI architecture and delivery in COE.
- Drive end-to-end AI solutions across various domains.
- Develop AI strategy and technical roadmaps.
- Build complex AI systems with LLMs and GenAI.
- Manage project delivery and technical teams.
About the role
AI Tech Lead AVP - AI Center of Excellence
Shine.com is partnering with IT organizations to hire an AI Tech Lead to contribute to their AI Center of Excellence (COE). This is a direct, full-time position as a permanent employee of the hiring organization.
Job Description: AI Tech Lead (AVP / DGM Grade)
Location: Bengaluru, India
Experience: 10-15 Years (with 5+ years relevant in AI/ML)
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
- LLMs
- Gen AI
- Predictive AI Modeling
- AI Frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex)
Role Highlights:
- Own and drive AI Architecture, Solutions, and Development Delivery end-to-end.
- Implement solutions across Predictive AI, GenAI, and Agentic AI for BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
- Develop AI COE technical roadmaps and AI strategies.
- Oversee MLOps, Data Pipelines, and architectural decisions.
- Manage Project Delivery and Execution through all phases: Requirement Analysis, Architecture, Model Development, Engineering, Deployment, and Monitoring.
- Architect and build complex AI systems involving LLMs, GenAI apps, Predictive modeling, Data Engineering, and Cloud platforms (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.
- Expertise in cloud platforms (Azure/AWS/GCP).
- Experience with AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using LLMs, RAG, fine-tuning, prompt engineering, autonomous AI agents, multi-agent systems, and predictive ML models (Regression, Classification, Clustering, NLP, CV).
- Expertise in microservices architecture and API design.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps, and MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
Key skills/competency:
- AI Tech Lead
- AI Solutions
- AI Architecture
- GenAI
- Predictive AI
- MLOps
- Python
- Cloud Platforms (Azure/AWS)
- AI Frameworks
- Data Engineering
Skills & topics
- AI Tech Lead
- AI Solutions
- AI Architecture
- GenAI
- Predictive AI
- MLOps
- Python
- Cloud Platforms
- AI Frameworks
- Data Engineering
- LLM
- Agentic AI
- AVP
- Bengaluru
How to get hired
- Tailor your resume: Highlight AI/ML experience, Python, cloud (Azure/AWS), and AI frameworks like TensorFlow and PyTorch. Emphasize MLOps and data engineering skills.
- Showcase your leadership: Detail your experience in driving AI architecture, strategy, and end-to-end project delivery. Quantify achievements where possible.
- Prepare for technical deep dives: Be ready to discuss LLMs, GenAI applications, predictive modeling, microservices, and CI/CD/MLOps practices.
- Demonstrate client management skills: Be prepared to discuss how you've managed stakeholders and client expectations in complex AI projects.
- Research Shine.com's hiring partners: Understand the types of organizations they work with and their focus areas in AI and technology.
Technical preparation
Master Python, cloud (Azure/AWS/GCP), and AI frameworks.,Practice building LLM and GenAI applications.,Review microservices, API design, and MLOps principles.,Study Spark, Databricks, and data lakehouse platforms.
Behavioral questions
Describe leading AI architecture and delivery.,How have you driven AI strategy development?,Share an example of stakeholder management success.,Discuss mentoring junior AI team members.
Frequently asked questions
- What is the primary focus of the AI Tech Lead role at Shine.com's partner organizations?
- The primary focus of the AI Tech Lead role is to own and drive AI architecture, solutions, and development delivery. This includes implementing end-to-end AI solutions across Predictive AI, GenAI, and Agentic AI, contributing to the AI Center of Excellence (COE) with a technical roadmap and AI strategy.
- What specific AI technologies are emphasized for this AI Tech Lead position?
- This AI Tech Lead position emphasizes expertise in Predictive AI, Generative AI (GenAI), and Agentic AI. Specific technologies include LLMs, RAG, fine-tuning, prompt engineering, autonomous AI agents, multi-agent systems, and predictive ML models. Familiarity with AI frameworks like TensorFlow, PyTorch, LangChain, and LlamaIndex is crucial.
- What are the required cloud and data engineering skills for the AI Tech Lead role?
- The AI Tech Lead role requires strong proficiency in cloud platforms such as Azure, AWS, and GCP. Essential data engineering skills include experience with tools like Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms, along with ETL processes.
- How much experience is expected for this AI Tech Lead position?
- The AI Tech Lead role requires a total of 10-15 years of experience, with at least 5 years of relevant experience specifically in Artificial Intelligence and Machine Learning (AI/ML).
- What is the work arrangement for this AI Tech Lead role?
- This AI Tech Lead role is a direct, full-time position and is considered an on-site role located in Bengaluru. Employees will be on the payroll of the hiring organization as their permanent employee.
- What kind of projects can an AI Tech Lead expect to work on?
- An AI Tech Lead can expect to work on architecting and building complex AI systems. Projects involve LLMs, GenAI applications, predictive modeling, data engineering, and deploying these solutions across various programs such as BPM, IT Services, Digital, and Enterprise Transformation.
- Does this AI Tech Lead role involve team leadership?
- Yes, the AI Tech Lead role includes significant team leadership and mentoring responsibilities, alongside technical hands-on expertise and stakeholder management.