Drive advanced use cases such as
Enterprise knowledge assistants
Agentic workflows (multi-agent systems)
RAG (Retrieval-Augmented Generation)
Automation with Copilot + Power Platform + Azure AI
3. Azure AI & Data Platform Architecture
Design and lead solutions using
Azure OpenAI Service
Azure AI Studio & Azure AI Search
Azure Machine Learning (ML Ops, pipelines, model lifecycle)
Azure Data Factory, Synapse, Fabric, Databricks
Architect scalable AI platforms with strong focus on
Security, privacy, and compliance
Performance, cost optimization, and reliability
Data governance and lineage
4. Engineering Excellence & MLOps
Define and enforce MLOps / LLMOps standards
CI/CD for ML and GenAI
Model versioning, evaluation, and monitoring
Prompt management and experimentation
Ensure observability for AI systems including
Model drift
Hallucination and quality metrics
Cost and token usage optimization
5. Customer & Stakeholder Leadership
Act as Chief Architect / AI Advisor for strategic customers.
Lead architecture discussions with CXOs, CIOs, CTOs, and CDOs.
Translate business problems into scalable AI architectures and roadmaps.
Partner with sales and pre-sales teams on
Deal shaping
Technical due diligence
RFP and solution defenses
6. People & Community Leadership
Lead and mentor senior AI architects and technical leaders deployed in customer environments.
Build and grow AI architecture communities of practice.
Conduct architecture reviews, design boards, and technical escalations.
Coach leaders on customer engagement, technical depth, and executive communication.
Skill Requirements
Required Technical Expertise
Core Microsoft Stack (Must-Have)
Microsoft Azure (Expert Level)
Azure Networking, Security, Identity (Entra ID)
Azure Landing Zones & Enterprise Scale Architecture
Azure AI & GenAI
Azure OpenAI Service
Azure AI Studio, AI Search
Prompt engineering and RAG patterns
Microsoft Copilot Ecosystem
M365 Copilot architecture and extensibility
Copilot Studio (custom copilots, plugins, connectors)
Power Platform (Power Apps, Power Automate, Dataverse)
Data, ML & Platform Engineering
Azure Machine Learning (training, inference, pipelines)
Data platforms: Azure Fabric, Synapse, Databricks
MLOps / LLMOps frameworks and best practices
API and integration architecture (REST, event-driven, microservices)
Security & Responsible AI
AI security patterns
Prompt injection mitigation
Data leakage prevention
RBAC and identity-driven access
Responsible AI principles
Fairness, transparency, explainability
Compliance (GDPR, SOC2, ISO, etc.)
Experience & Qualifications
15+ years of overall technology experience.
8–10+ years in enterprise architecture or principal architect roles.
Proven experience delivering large-scale AI / GenAI solutions for global enterprises.
Strong background in Microsoft ecosystem (Azure-first).
Experience managing senior architects and technical leaders.
Prior role as Chief Architect, Distinguished Engineer, or Principal Architect preferred.
Leadership & Soft Skills
Executive-level communication and storytelling skills.
Strong customer-facing presence and credibility.
Ability to balance hands-on depth with strategic vision.
Mentorship mindset with passion for building leaders.
Comfortable operating in ambiguous, high-impact environments.
Certifications (Highly Desirable)
Azure Solutions Architect Expert
Azure AI Engineer Associate / Expert
Microsoft Copilot / Power Platform certifications
TOGAF or equivalent architecture certification
Other Requirements
Apply now
Information at a Glance
Why HCLTech?
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 230,000 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 September 2026 totaled $14.8 billion.
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