We are looking for a dynamic and technically strong Tech Lead – AI who can bridge the gap between client business requirements and production-grade AI solutions. This is a dual-focused leadership role involving Presales & Solution Architecture (50%) and Hands-on Technical Delivery (50%). The ideal candidate should have a strong background in IT services, technology consulting, or digital engineering, along with the ability to engage directly with senior client stakeholders and drive AI initiatives from discovery to implementation.

Key Responsibilities
1. Presales & Solution Architecture
• Participate in discovery calls with CTOs, CIOs, founders, and business stakeholders to understand business challenges and identify AI opportunities.
• Translate business requirements and conceptual AI ideas into scalable, production-ready technical architectures.
• Lead solution design, technical estimations, resource planning, timelines, cost assessments, and risk identification.
• Prepare technical proposals, Statements of Work (SOWs), RFP responses, and solution documentation.
• Conduct technical workshops and demonstrate PoCs, prototypes, and AI capabilities to prospective clients.
• Identify opportunities for account expansion and additional AI engineering engagements. 2. Technical Delivery & Architecture
• Own the end-to-end technical architecture and direction of AI, ML, and GenAI engagements.
• Remain hands-on with Python development, critical system logic, architecture design, and complex code reviews.
• Design and implement production-grade GenAI solutions, including RAG pipelines, autonomous AI agents, and LLM orchestration frameworks.
• Build evaluation frameworks, observability mechanisms,



and LLM cost and performance optimization strategies.
• Architect data pipelines, vector databases, APIs, and cloud infrastructure across AWS, Azure, or GCP.
• Ensure data privacy, security, and PII isolation across AI implementations.
• Lead technical discussions, resolve architectural challenges, and manage technical risks with client engineering teams. Required Experience & Skills
• 7–10 years of overall experience in software engineering, technical architecture, or solution engineering.
• 5+ years of experience in AI/ML and Data Engineering.
• 2–4+ years of hands-on experience building and deploying production-grade GenAI/LLM solutions.
• Prior experience in IT services companies, technology consulting firms, or digital engineering agencies is essential.
• Experience delivering AI/ML solutions across multiple industry domains such as FinTech, Healthcare, E-commerce, Logistics, and SaaS.
• Strong client-facing experience, including direct interaction with CTOs, CIOs, founders, and business stakeholders.
• Ability to translate business problems into technical solutions and communicate complex architectural decisions effectively.
• Solid combination of technical execution, solutioning, presales, and delivery ownership. Technical Expertise
• Programming & Backend: Python, FastAPI
• Generative AI: LLMs, OpenAI, Azure OpenAI, Anthropic Claude, Gemini
• RAG & AI Agents: RAG Architecture, Autonomous Agents, LangChain, LlamaIndex
• Vector Databases: Pinecone, Qdrant
• Cloud Platforms: AWS, Azure, GCP
• Engineering & Operations: Data Pipelines, APIs, LLMOps, Observability, Cost Optimization
• DevOps: Docker, CI/CD

📌 Tech Lead – AI (Gurugram)
🏢 Capital Numbers
📍 Gurugram