Description
AI & Generative AI
- Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral)
- Generative AI and Agentic AI architectures
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Multi-Agent Systems
- AI Orchestration Frameworks (LangChain, LangGraph, CrewAI, AutoGen)
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
Machine Learning & Data Science
- Machine Learning and Deep Learning fundamentals
- Model evaluation, deployment, and monitoring
- Feature engineering and data pipelines
Programming & Cloud
- Python (mandatory)
- AWS, Azure, or GCP
- REST APIs and Microservices
- MLOps / LLMOps
- Docker and Kubernetes
Architecture & Consulting
- Enterprise Solution Architecture
- Technical Consulting and Pre-Sales
- Requirements Gathering and Solution Design
- Stakeholder Management
- Executive Presentations and Customer Workshops
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 10–15+ years of experience in software engineering, AI/ML, data science, or solution architecture.
- Proven experience delivering enterprise AI/GenAI solutions in production environments.
- Solid customer-facing and leadership experience.
Preferred Qualifications
- Certifications in AWS, Azure, GCP,
or Generative AI.
- Experience with Responsible AI, AI Governance, and Security.
- Exposure to Telecom, BFSI, Retail, Healthcare, Manufacturing, or Supply Chain domains.
Responsibilities
- Lead end-to-end AI solutioning activities, including discovery, architecture, design, development, and deployment.
- Engage with business stakeholders, customers, and leadership teams to identify AI opportunities and define solution roadmaps.
- Design and implement Generative AI, Agentic AI, and Machine Learning solutions aligned with business objectives.
- Architect enterprise-grade AI applications leveraging LLMs, RAG frameworks, AI agents, vector databases, and cloud platforms.
- Collaborate with pre-sales and delivery teams for solution proposals, effort estimation, and technical presentations.
- Define scalable AI architecture, governance frameworks, security controls, and best practices.
- Guide engineering teams through implementation, code reviews, and deployment strategies.
- Drive innovation by evaluating emerging AI technologies, frameworks, and industry trends.
- Mentor AI engineers, data scientists, and architects while fostering technical excellence.
📌 Senior Process Manager (Pune)
🏢 eClerx
📍 Pune