Generative AI Architect

HCLTech; Dadri, Greater Noida; Hybrid; INR 1,200,000 - 1,600,000; Full time

Job summary

HCLTech AI Labs in Noida leads strategic AI initiatives, architecting interoperable, governance-backed agentic AI solutions for global clients. The role blends hands-on hybrid work with leadership across architecture, security, and enterprise integrations.

You will drive reference architectures, evaluate cloud offerings, and shape roadmaps for large-scale GenAI deployments, ensuring cost efficiency and robust observability across enterprise platforms.

Qualifications

• 8–10+ years in technical leadership with cloud architecture.
• Hands-on architecture on Azure/GCP/AWS and familiarity with at least one other.
• GenAI/LLM experience with Azure OpenAI, Vertex AI, or AWS Bedrock.
• Proven ability to design complex RAG pipelines.
• Experience with model fine-tuning and instruction tuning.
• Strong leadership, advisory and stakeholder management.

Responsibilities

• Define and govern reference architecture for multi-agent systems and guide pattern selection.
• Architect memory systems including vector databases and knowledge graphs.
• Define end-to-end RAG/CAG pipelines with embedding and vector search.
• Ensure lineage, observability, and governance across AI initiatives.
• Lead client workshops and advisory sessions on agentic AI adoption.

Skills

Enterprise architecture leadership

Cloud architecture

GenAI & LLM depth

RAG & orchestration

Model fine-tuning

Leadership & advisory

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

Vertex AI

AWS Bedrock

Job description

Title: AI Architect

Organization: HCLTech AI Labs

Seniority: Architecture (Senior Architect, Principal Architect)

Location: Noida, Sector 126

Work Model: Hybrid (A mix of in-office and remote work)

Role Summary

As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS.

This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the worlds most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients What you’ll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases.

Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers.

Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking.

Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.

Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance.

Technical Leadership & Client Advisory

Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry.

Core Qualifications (The Bar)

• Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.
• Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.
• GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).
• RAG & Orchestration: Proven experience designing complex RAG pipelines.
• Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs.
• Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance.

Preferred Qualifications (The Differentiators)

• Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
• Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
• GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application.
• And AI FinOps & Model Routing • Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
• Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).

Compensation & Benefits HCLTech offers a highly competitive compensation package for this E5/E6-level role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process.

Senior Architect

Own end-to-end reference architectures for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging 3 Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts.

Principal Architect

Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice.

Soft Skills & Behavioral Competencies

We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities.

• Clear, Multi-Level Communication
• Strategic Thinking & Advisory Mindset
• Cross-Functional & Cross-Vendor Collaboration
• Pragmatic Problem-Solving
• Ownership & Accountability
• Continuous Learning & Adaptability
• Customer Obsession & Trust-Building
• Leadership & Mentorship
• Change Agent Mindset

About Us

HCLTech AI Labs is the global Centre of Excellence, guiding the application of advanced technologies and leading the way for clients and HCL employees worldwide.