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Experience: 10+ years in IT/Software development, with at least 3–5 years specifically delivering enterprise-scale AI/Multi-Agent AI solutions
Programming: Expert-level proficiency in Python with production-grade code quality. Additional proficiency in TypeScript/Node.js is highly regarded
AI/Agentic AI Frameworks & LLM: Deep experience with LLM orchestration (LangChain, LangGraph, LlamaIndex, or AutoGen)
Protocol Mastery: Deep expertise in the Model Context Protocol Specification and its core primitives
Infrastructure & Cloud: Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes
Data & Vectors: Proficiency with vector databases (Pinecone, Chroma, pgVector) and knowledge of relational databases or distributed computing frameworks (Spark, Kafka)
API Design: Deep knowledge of REST, GraphQL, and specialized streaming protocols
Soft Skills: Exceptional stakeholder management and communication skills to convey complex AI strategies to non-technical leaders and executives
Key Responsibilities
Architecture Design: Translate business requirements into scalable, secure, and interoperable AI and Generative AI reference architectures
System Design & Integration: Architect multi-system integrations, API orchestrations, and AI-driven workflows (e.g., RAG pipelines, multi-agent systems)
Python Development: Provide architectural leadership and hands-on coding guidance for building production-grade, Python-based AI applications
Maintain a centralized MCP server registry and build internal toolkits to accelerate agent deployment
Skill Requirements
Experience: 10+ years in IT/Software development, with at least 3–5 years specifically delivering enterprise-scale AI/Multi-Agent AI solutions
Programming: Expert-level proficiency in Python with production-grade code quality. Additional proficiency in TypeScript/Node.js is highly regarded
AI/Agentic AI Frameworks & LLM: Deep experience with LLM orchestration (LangChain, LangGraph, LlamaIndex, or AutoGen)
Protocol Mastery: Deep expertise in the Model Context Protocol Specification and its core primitives
Infrastructure & Cloud: Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes
Data & Vectors: Proficiency with vector databases (Pinecone, Chroma, pgVector) and knowledge of relational databases or distributed computing frameworks (Spark, Kafka)
API Design: Deep knowledge of REST, GraphQL, and specialized streaming protocols
Soft Skills: Exceptional stakeholder management and communication skills to convey complex AI strategies to non-technical leaders and executives
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
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