About this role

Job Title: Associate Director

Role: AI Architect

Experience: 12+ Years

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About the Role:

We are seeking a Principal AI Engineer / AI Architect with extensive experience in Generative AI (GenAI) , Retrieval-Augmented Generation (RAG) , and Agentic AI systems . This role requires strategic leadership , architectural design , and delivery of large-scale AI projects . You will define technical roadmaps, manage teams, and ensure enterprise-grade AI solutions align with business objectives.

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Key Responsibilities:

- Lead and architect enterprise-scale AI solutions leveraging LLMs, multimodal models, and advanced GenAI techniques.
- Design and oversee RAG pipelines and Agentic AI frameworks for complex workflows.
- Define AI architecture standards , scalability strategies, and integration patterns with cloud services.
- Drive effort estimation , resource planning, and delivery timelines for large-scale AI projects.
- Collaborate with senior stakeholders to propose AI-driven solutions and influence technology strategy.
- Ensure compliance with security, governance, and ethical AI principles .
- Oversee model deployment, model cost estimation in production environments and ensure robust monitoring.
- Lead MVP development for rapid prototyping and proof-of-concept initiatives.
- Mentor and guide engineering teams, fostering innovation and best practices.

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Required Skills:

- Programming: Expert-level proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
- Generative AI: Proven experience in LLM fine-tuning, prompt engineering, and production deployment.
- RAG & Agentic AI: Advanced knowledge of embeddings, vector databases (FAISS, Pinecone), and agent orchestration frameworks (LangChain, AutoGen).
- Traditional ML & Deep Learning: Strong foundation in ML algorithms and deep learning architectures (CNNs, RNNs, Transformers).
- Architecture & Leadership: Ability to design scalable AI architectures , manage large teams, and deliver enterprise projects.
- Cloud Expertise: Strong understanding of cloud services (AWS, Azure, GCP), including compute, storage, networking, and AI-specific offerings.
- MVP Development: Experience creating proof-of-concepts and MVPs for rapid prototyping and stakeholder validation.
- Production Deployment: Should have proven capability to production
- Excellent communication and stakeholder management skills.

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Preferred Skills:

- Experience with MLOps , CI/CD for AI, and multi-cloud deployments .
- Familiarity with cost optimization , security best practices , and disaster recovery strategies .
- Exposure to multi-modal AI , agent orchestration , and AI governance frameworks
- Hands-on experience deploying AI models in production environments with monitoring and scaling strategies.
- Cost Estimation: Exposure to estimating LLM model costs prior to deployment , including compute, storage, and inference optimization.

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Qualifications:

- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- 12+ years of experience in AI/ML development, with at least 5+ years in Generative AI and advanced AI systems .
- Proven track record of leading large-scale AI projects , defining architecture, and managing cross-functional teams.