Lead end-to-end enterprise AI/GenAI solution architecture and delivery: discovery, design, development, deployment, governance, and mentoring. Engage stakeholders, support pre-sales, define scalable LLM/RAG/agent architectures using vector DBs, cloud, MLOps, and best practices.
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 and Deep Learning fundamentals
- Model evaluation, deployment, and monitoring
- Feature engineering and data pipelines
- Python (mandatory)
- AWS, Azure, or GCP
- REST APIs and Microservices
- MLOps / LLMOps
- Docker and Kubernetes
- Enterprise Solution Architecture
- Technical Consulting and Pre-Sales
- Requirements Gathering and Solution Design
- Stakeholder Management
- Executive Presentations and Customer Workshops
- 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.
- Strong customer-facing and leadership experience.
- 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.
- 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.
eClerx LLC Pune, Mahārāshtra, IND Office
Block 01, Wing A – LG, 1st, 2nd and 3rd and Wing A & B 4th Floor, Quadron Business Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase 2, Pune, India, 411 057
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
