Senior Technical Lead

Experience: 7 to Not Available years

Location: Bengaluru, India

Skills: Python, AI/ML libraries, LangChain, CrewAI, AutoGen, Semantic Kernel, LLMs, prompt engineering, RAG architectures, Azure, AWS, GCP, Docker, Kubernetes, RESTful APIs, CI/CD, multi-agent systems, agent design patterns, vector databases, FAISS, Pinecone, Postgres

Job Summary
Role Overview: Design, architect, and deploy agent-based AI solutions that autonomously plan, reason, and execute complex tasks for enterprise operations. Guide clients through the full lifecycle of Agentic AI adoption—from strategy and platform selection to deployment, integration, and ongoing optimization. Collaborate with cross-functional teams to deliver robust, scalable AI solutions for business observability, IT operations, and process automation.

Key Responsibilities
Analyze business use cases and design detailed Agentic AI solution architectures.
Lead integration of LLMs (e.g., GPT-4, Claude, LLaMA) and agentic frameworks (LangChain, CrewAI, AutoGen, Semantic Kernel) into enterprise workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines and connect agents to enterprise knowledge systems.
Develop agent-to-agent communication protocols and multi-agent coordination.
Own configuration, conversational design, prompting, testing, and deployment of AI agents across digital and voice channels.
Ensure compliance with security, governance,



and Responsible AI principles (RBAC, data privacy, auditability).
Facilitate workshops, technical deep-dives, and executive briefings to align stakeholders.
Track, report, and optimize key success metrics (cost savings, accuracy, customer satisfaction, retention).

Skill Requirements
Required Skills:
7+ years consulting or client-facing systems integration experience (AI/automation platforms).
Robust proficiency in Python; experience with AI/ML libraries.
Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, Semantic Kernel).
Deep understanding of LLMs, prompt engineering, and RAG architectures.
Experience with cloud platforms (Azure, AWS, GCP).
Familiarity with Docker, Kubernetes, RESTful APIs, and CI/CD pipelines.
Excellent communication (verbal & written), stakeholder management, and documentation skills.
Preferred:
Experience with multi-agent systems, agent design patterns, and vector databases (FAISS, Pinecone, Postgres).
Certifications in AI architecture or cloud technologies.
Background in chatbots, intelligent assistants, or autonomous systems.
Exposure to DevOps tools and agile delivery methodologies.

Sample Use Cases:
Automating IT operations (incident management, root cause analysis, runbook creation).
Intelligent customer support and self-service.
Business process automation and observability.

📌 Senior Technical Lead (Bengaluru)
🏢 HCL Technologies
📍 Bengaluru