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Salary
≈ $15k – $35k per year (Estimated)
Location
In office (Noida)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

"Experience in Design of end-to-end AI architectures on SAP Business Technology Platform (BTP), integrating SAP and non-SAP systems

Experience in Identification of high-value AI use cases, such as intelligent document processing, predictive insights, and AI agents for supply chain or finance

Experience in enterprise data governance, compliance, and robust security frameworks across AI deployments

Experience in translating complex business requirements into technical AI blueprints and guide cross-functional engineering teams

6 to 15+ years in enterprise IT, with significant focus on SAP architecture and multi-year AI/ML implementation

Hands-on knowledge of SAP BTP, SAP AI Core, SAP Integration Suite, and cloud providers (Azure, AWS, GCP)

Familiarity with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agentic AI workflows

Strong communication, stakeholder management, and leadership skills to mentor junior teams and lead pre-sales or client workshops"

Key Responsibilities

"Experience in Design of end-to-end AI architectures on SAP Business Technology Platform (BTP), integrating SAP and non-SAP systems

Experience in Identification of high-value AI use cases, such as intelligent document processing, predictive insights, and AI agents for supply chain or finance

Experience in enterprise data governance, compliance, and robust security frameworks across AI deployments

Experience in translating complex business requirements into technical AI blueprints and guide cross-functional engineering teams

6 to 15+ years in enterprise IT, with significant focus on SAP architecture and multi-year AI/ML implementation

Hands-on knowledge of SAP BTP, SAP AI Core, SAP Integration Suite, and cloud providers (Azure, AWS, GCP)

Familiarity with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agentic AI workflows

Strong communication, stakeholder management, and leadership skills to mentor junior teams and lead pre-sales or client workshops"

Skill Requirements

"Experience in Design of end-to-end AI architectures on SAP Business Technology Platform (BTP), integrating SAP and non-SAP systems

Experience in Identification of high-value AI use cases, such as intelligent document processing, predictive insights, and AI agents for supply chain or finance

Experience in enterprise data governance, compliance, and robust security frameworks across AI deployments

Experience in translating complex business requirements into technical AI blueprints and guide cross-functional engineering teams

6 to 15+ years in enterprise IT, with significant focus on SAP architecture and multi-year AI/ML implementation

Hands-on knowledge of SAP BTP, SAP AI Core, SAP Integration Suite, and cloud providers (Azure, AWS, GCP)

Familiarity with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agentic AI workflows

Strong communication, stakeholder management, and leadership skills to mentor junior teams and lead pre-sales or client workshops"

Other Requirements

"Experience in Design of end-to-end AI architectures on SAP Business Technology Platform (BTP), integrating SAP and non-SAP systems

Experience in Identification of high-value AI use cases, such as intelligent document processing, predictive insights, and AI agents for supply chain or finance

Experience in enterprise data governance, compliance, and robust security frameworks across AI deployments

Experience in translating complex business requirements into technical AI blueprints and guide cross-functional engineering teams

6 to 15+ years in enterprise IT, with significant focus on SAP architecture and multi-year AI/ML implementation

Hands-on knowledge of SAP BTP, SAP AI Core, SAP Integration Suite, and cloud providers (Azure, AWS, GCP)

Familiarity with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agentic AI workflows

Strong communication, stakeholder management, and leadership skills to mentor junior teams and lead pre-sales or client workshops"

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