Gen AI Architect

🛠️ Required Skills

✅ Technical Skills

• Strong knowledge of:

• Machine Learning & Deep Learning

• Large Language Models (LLMs)

• NLP (Natural Language Processing)

• Experience with:

• Python, APIs, microservices

• AI frameworks (TensorFlow, PyTorch, LangChain)

• Cloud platforms:

• Azure / AWS / GCP

✅ GenAI-Specific Skills

• Prompt engineering

• RAG architectures

• Fine-tuning LLMs

• Vector databases (e.g., Pinecone, FAISS)

✅ Soft Skills

• Problem-solving mindset

• Strong communication (explaining AI to non-technical teams)

• Strategic thinking

Key Responsibilities

1. Solution Architecture & Design

• Design end-to-end Generative AI solutions using LLMs (like GPT, Gemini, etc.)

• Define system architecture (APIs, pipelines, integrations)

• Choose appropriate models, frameworks, and cloud platforms

🔹 2. Model Selection & Optimization

• Evaluate and select foundation models / LLMs

• Fine-tune or customize models using:

• Prompt engineering

• Retrieval-Augmented Generation (RAG)

• Fine-tuning datasets

🔹 3. Integration & Deployment

• Integrate GenAI solutions into enterprise systems (CRM, ERP, apps)

• Deploy solutions using cloud platforms like:

• Azure AI / OpenAI

• AWS Bedrock

• Google Vertex AI

🔹 4. Data & AI Governance

• Ensure data privacy, security, and compliance

• Implement responsible AI practices (bias mitigation, explainability)

• Monitor model performance and accuracy

🔹 5. Collaboration & Leadership

• Work with business stakeholders to identify GenAI use cases

• Guide engineering teams on implementation

• Act as a technical thought leader in AI adoption