Associate Manager - Generative AI

Description :

We are seeking a highly skilled and innovative Associate Manager AI/ML & Generative AI to lead the design, development, and deployment of advanced AI-powered solutions across the organization. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), AI agents, GitHub Copilot, Google Gemini, LangChain, cloud platforms, and Python/R-based development.

The role involves building intelligent applications, GenAI assistants, enterprise copilots, and AI-driven automation solutions that improve productivity, decision-making, and business outcomes. The candidate will collaborate closely with business stakeholders, product teams, engineering teams, and data scientists to deliver scalable AI solutions.

Key Responsibilities :

- Design, develop, and deploy machine learning models for business use cases.

- Build predictive, classification, recommendation, forecasting, and optimization models.

- Perform feature engineering, model training, validation, and performance optimization.

- Develop scalable ML pipelines and model-serving frameworks.

- Evaluate and implement advanced AI algorithms to solve business challenges.

- Design and develop enterprise-grade Generative AI applications.

- Build AI assistants, copilots, chatbots, and autonomous agents using LLMs.

- Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management.

- Implement prompt engineering techniques to improve response quality and accuracy.

- Fine-tune, optimize, and evaluate Large Language Models for domain-specific applications.

- Create multi-agent AI systems to automate complex workflows and decision-making.

- Drive enterprise adoption of GitHub Copilot and Gemini-based AI solutions.

- Develop use cases that enhance software development productivity.

- Create coding assistants, developer productivity tools, and AI-enabled engineering workflows.

- Establish best practices for AI-assisted development and code generation.

- Train development teams on effective usage of AI coding assistants.

- Design and implement AI agents using frameworks such as LangChain and related ecosystems.

- Build autonomous workflows integrating multiple tools, APIs, and enterprise systems.

- Develop memory management, tool-calling, and orchestration capabilities for AI agents.

- Implement agent-based architectures for process automation and intelligent decision support.

- Optimize agent performance, latency, and scalability.

- Design and deploy AI/ML applications on cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Integrate AI solutions with cloud-native services and enterprise applications.

- Build scalable and secure AI infrastructures.

- Implement CI/CD pipelines for ML and GenAI applications.

- Manage cloud resources and optimize deployment costs.

- Develop data ingestion, preprocessing, and transformation pipelines.

- Work with structured and unstructured datasets for AI model development.

- Build automated workflows for model training, monitoring, and deployment.

- Integrate AI systems with enterprise databases, APIs, and business applications.

- Ensure data quality, security, and governance compliance.

- Establish AI governance frameworks and model monitoring processes.

- Implement safeguards for model reliability, explainability, and compliance.

- Address risks related to hallucinations, bias, privacy, and security.

- Ensure responsible use of AI technologies across business functions.

- Develop standards for AI model evaluation and performance measurement.

- Collaborate with business leaders to identify AI transformation opportunities.

- Translate business requirements into scalable AI solutions.

- Mentor junior AI engineers and data scientists.

- Provide technical leadership for AI initiatives and projects.

- Present AI solution architectures and recommendations to leadership teams.

Required Skills & Technical Expertise :

Artificial Intelligence & Machine Learning :

- Machine Learning Algorithms

- Supervised and Unsupervised Learning

- Deep Learning

- Natural Language Processing (NLP)

- Computer Vision (Preferred)

- Model Evaluation & Optimization

- MLOps Frameworks

Generative AI & LLMs :

- Large Language Models (LLMs)

- Generative AI Applications

- Prompt Engineering

- RAG (Retrieval-Augmented Generation)

- Vector Databases

- LLM Fine-Tuning

AI Agents & Autonomous Systems :

- Model Evaluation Frameworks

AI Frameworks & Tools :

- LangChain

- LangGraph

- LlamaIndex

- OpenAI APIs

- Gemini APIs

- Hugging Face

- GitHub Copilot

- AI Agent Frameworks

Programming & Development :

- Python (Expert Level)

- R Programming

- SQL

- REST APIs

- FastAPI / Flask

- Jupyter Notebooks

Cloud Technologies :

- AWS (SageMaker, Bedrock, Lambda, ECS, EKS)

- Microsoft Azure (Azure OpenAI, Azure ML)

- Google Cloud Platform (Vertex AI, Gemini)

- Cloud Security & Governance

- Containerization & Kubernetes

DevOps & MLOps :

- Git/GitHub

- CI/CD Pipelines

- Docker

- Kubernetes

- MLflow

- Model Monitoring

- Experiment Tracking

Data & Analytics :

- Data Engineering

- ETL/ELT Pipelines

- Data Warehousing

- Big Data Technologies

- Analytics & Reporting

Educational Qualifications :

- Bachelor's Degree in Computer Science, Information Technology, Data Science, AI, Machine Learning, Statistics, Mathematics, or related field.

- Master's Degree in AI, Data Science, Computer Science, or related discipline preferred.

- Relevant certifications in AI/ML, Cloud Platforms, or Generative AI are highly desirable.

- 6 to 8 years of experience in AI/ML, Data Science, or Advanced Analytics.

- 2+ years of hands-on experience in Generative AI and LLM-based solutions.

- Experience building production-grade AI applications and enterprise copilots.

- Exposure to GitHub Copilot, Gemini, OpenAI, LangChain, and cloud-native AI services.

- Experience implementing AI solutions in large-scale enterprise environments.

- Strong understanding of software engineering best practices and scalable architecture.