Gen AI Technical Lead | Immediate Joiners | To THE New

To the New; Sector 10; Sur place; INR 2 500 000 - 5 200 000; Plein temps

Résumé du poste

To the New is seeking an experienced Technical Lead GenAI to design, build, and scale enterprise-grade AI systems spanning Generative AI, ML, and DL. You will own end-to-end AI solution architecture from framing business problems to model deployment and production monitoring.

You will mentor engineers, collaborate with cross-functional teams and clients, and drive secure, scalable, cost-efficient, and responsible AI solutions while advancing the GenAI ecosystem within the organization.

Qualifications

• 7-12 years of overall experience, with 8+ years in Data Science / ML system development.
• Strong experience in solution architecture and full lifecycle delivery of AI/ML/GenAI systems.
• Hands-on expertise with LLMs, RAG, embeddings, prompt engineering, and agent frameworks (e.g., LangChain, CrewAI, Bedrock Agents, OpenAI SDK).
• Solid experience with ML algorithms and DL architectures for NLP/Computer Vision.

Responsabilités

• Lead end-to-end AI solution development from ideation to production deployment and monitoring.
• Architect and deliver GenAI solutions including LLM-powered apps, RAG pipelines, embeddings, and prompts.
• Design and productionize ML/DL models for NLP/CV and recommender systems.
• Build hybrid GenAI with classical ML/DL models for complex enterprise problems.
• Implement MLOps and LLMOps practices including versioning, testing, drift detection, and monitoring.
• Collaborate with Data Engineers and Analysts to ensure high-quality data pipelines.
• Maintain code quality, CI/CD, documentation, and architectural governance.

Connaissances

LLMs

RAG pipelines

Embeddings

Prompt engineering

Agent frameworks

Python

ML libraries

MLOps

LLMOps

Cloud deployments

Data privacy

Outils

LangChain

CrewAI

Bedrock Agents

OpenAI SDK

PyTorch

TensorFlow

Hugging Face

Scikit-learn

Pandas

NumPy

Pinecone

Description du poste

Job Summary

We are looking for an experienced Technical Lead Generative AI to design, build, and scale enterprise-grade AI systems spanning Generative AI, Machine Learning, and Deep Learning. In this role, you will own an end-to-end AI solution architecture, from business problem framing and hypothesis formulation to model development, deployment, and production monitoring. You will work closely with cross-functional teams and clients to deliver secure, scalable, cost-efficient, and responsible AI solutions, while providing strong technical leadership and mentoring within the GenAI ecosystem.

Responsibilities

• Lead end-to-end AI solution development, from ideation and experimentation to production deployment and monitoring, ensuring measurable business impact.
• Architect and deliver Generative AI solutions, including LLM-powered applications, RAG pipelines, embeddings, prompt engineering, and agent-based workflows.
• Design and productionize Machine Learning and Deep Learning models, covering supervised, unsupervised, and deep learning use cases (NLP and/or Computer Vision) and recommendation engines.
• Build hybrid AI systems combining GenAI with classical ML/DL models to solve complex, real-world enterprise problems.
• Implement MLOps and LLMOps practices, including model versioning, automated testing, drift detection (data, concept, and prompt drift), and performance monitoring.
• Collaborate closely with Data Engineers and Analysts to ensure high-quality data pipelines, feature readiness, and scalable data architectures.
• Maintain high standards of code quality, CI/CD practices, documentation, and architectural governance for AI systems.
• Engage directly with stakeholders to translate business requirements into technical architectures, validate hypotheses, and guide decision-making.
• Champion rapid prototyping and lean experimentation, enabling fast validation before large-scale investments.
• Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of excellence and continuous learning.
• Contribute to internal innovation through POCs, accelerators, blogs, workshops, and technical demos.

Requirements

• 7-12 years of overall experience, with 8+ years in Data Science / ML system development.
• Strong experience in solution architecture and full lifecycle delivery of AI/ML/GenAI systems.
• Hands-on expertise with LLMs, RAG, embeddings, prompt engineering, and agent frameworks (e.g., LangChain, CrewAI, Bedrock Agents, OpenAI SDK).
• Solid experience with Machine Learning algorithms (regression, tree-based models, clustering, anomaly detection) and Deep Learning architectures for NLP and/or Computer Vision.
• Experience with model training and fine-tuning, including LoRA/QLoRA and transfer learning techniques.
• Strong proficiency in Python and modern ML/DL libraries (PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, NumPy).
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or ChromaDB.
• Practical experience with MLOps / LLMOps, CI/CD pipelines, containerization, and cloud-based AI deployments.
• Hands-on experience deploying AI solutions on AWS (preferred); exposure to Azure OpenAI or Vertex AI is a plus.
• Strong understanding of data privacy, security best practices, and responsible AI principles.

What sets you apart:

• Contributions to open-source GenAI / ML frameworks or active participation in the AI community.
• A strong portfolio of AI accelerators, internal platforms, or client-facing GenAI initiatives.
• Exposure to frontend technologies (React, Streamlit, Gradio) for end-to-end AI product ownership.
• Experience across multiple cloud GenAI ecosystems (AWS, Azure, GCP).
• Deep familiarity with enterprise-grade MLOps and LLMOps tooling and practices.
• Prior experience driving AI-led revenue growth, operational efficiency, or large-scale client adoption.