SAP BTP AI Architect

HCL Technologies Limited; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HCL Technologies Limited in Dadri seeks an experienced AI Architect to shape the AI roadmap across program delivery, operations and business processes.

You will design reference architectures for generative AI, ML and intelligent automation, define data, security and privacy requirements, and guide PoC decisions.

Collaborating with SAP, data, security and legal teams, you will mentor developers and communicate trade-offs to senior stakeholders to ensure scalable production readiness.

Qualifications

• Experience with SAP Business AI, Joule, BTP AI services or Datasphere.
• Cloud or AI architecture certification.
• Experience deploying AI in regulated enterprise environments.

Responsibilities

• Shape the AI roadmap and identify high-value use cases across program delivery, operations and business processes.
• Design reference architectures for generative AI, retrieval-augmented generation, machine learning and intelligent automation.
• Define data, model, integration, observability, security, privacy and responsible-AI requirements.
• Select appropriate cloud, model, vector, orchestration and API technologies and guide proof-of-concept decisions.
• Establish design standards for prompt management, grounding, evaluation, guardrails, human oversight and lifecycle management.
• Partner with SAP, data, security, legal and business teams to integrate AI capabilities into enterprise processes.
• Review technical designs, manage architecture risks and support production readiness and scaling.
• Mentor developers and communicate architecture choices and tradeoffs to senior stakeholders.

Skills

SAP AI

Cloud AI certs

Regulated AI

Job description

• Experience with SAP Business AI, Joule, BTP AI services or Datasphere.
• Cloud or AI architecture certification.
• Experience deploying AI in regulated enterprise environments.

Key Responsibilities

• Shape the AI roadmap and identify high-value use cases across program delivery, operations and business processes.
• Design reference architectures for generative AI, retrieval-augmented generation, machine learning and intelligent automation.
• Define data, model, integration, observability, security, privacy and responsible-AI requirements.
• Select appropriate cloud, model, vector, orchestration and API technologies and guide proof-of-concept decisions.
• Establish design standards for prompt management, grounding, evaluation, guardrails, human oversight and lifecycle management.
• Partner with SAP, data, security, legal and business teams to integrate AI capabilities into enterprise processes.
• Review technical designs, manage architecture risks and support production readiness and scaling.
• Mentor developers and communicate architecture choices and tradeoffs to senior stakeholders.