Director – AIML \ Generative AI

We are seeking a dynamic and technically strong Director of AI Technology Delivery to lead the end-to-end engineering, deployment, and life cycle management of production-grade AI solutions. The ideal candidate will possess deep expertise in AI / ML systems, full-stack engineering, database design, and enterprise technology frameworks, and must demonstrate proven experience in driving AI products from prototype to scaled deployment across global business units.

Key Responsibilities :

1. Technology Delivery & Execution

• Own the end-to-end delivery of AI-enabled products, from data ingestion to model deployment and integration into production environments.
• Lead full-stack development teams, including front-end (React.js, Angular), backend (Python, Node.js, Java), APIs (REST / GraphQL), and microservices architecture (Docker, Kubernetes, Kafka).
• Architect, implement, and oversee ML Ops pipelines, ensuring models are versioned, tested, monitored, and deployed securely and reliably.
• Manage high-performance databases (SQL, NoSQL, Graph, Vector DBs) for structured, semi-structured, and unstructured data across AI pipelines.

2. Strategic Technology Oversight

3. Cross-Functional Collaboration

4. Team Leadership & Scaling

Core Competencies & Skills Required :

Area

Skillset

AI / ML Technologies

Hands-on with Python, PyTorch / TensorFlow, LangChain, LLMs (GPT, Claude, Falcon), Hugging Face, ONNX

Full Stack

React.js / Next.js, Node.js / Express, Django / FastAPI, GraphQL, REST APIs

DevOps / MLOps

Docker, Kubernetes, Airflow, MLflow, GitHub Actions, Azure DevOps, Ray, Terraform

Data & DBs

PostgreSQL, MongoDB, Redis, Neo4j, Milvus / Weaviate / FAISS, Azure Data Lake, Snowflake

Cloud Platforms

Azure AI Studio, AWS SageMaker, Google Vertex AI

Architecture

Event-driven, Microservices, Serverless, API Gateways, Hybrid Edge-to-Cloud Design

Security & Compliance

OAuth2, RBAC, Zero Trust, PII masking, Audit trails, Model explainability (SHAP, LIME)

Delivery Frameworks

Agile, Scrum, SAFE Agile, JIRA, Confluence, GitHub Projects

Qualifications :

KPIs and Success Metrics :

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