AI Solution Architect I

HCL Technologies Limited; Dadri; On-site; INR 3,200,000 - 7,600,000; Full time

Job summary

HCLTech in India is seeking a Solution Architect who designs end-to-end architectures for AI, data, cloud platforms, and enterprise workflows. You will translate customer requirements into scalable designs using OpenAI, hyperscaler ecosystems, and HCLTech capabilities while ensuring security and compliance.

You will produce reusable blueprints, support presales with high-level designs and estimates, participate in workshops and architecture reviews, and help guide delivery through complex

Qualifications

• 10+ years of experience in solution architecture for enterprise data/cloud platforms.
• Strong communication to explain complex architecture decisions to customers and teams.
• Experience designing POCs, pilots, prototypes, and production transition plans.

Responsibilities

• Translate requirements into end-to-end architectures spanning AI, data, cloud, platforms, apps, integration, and operations.
• Define blueprints, integration patterns, deployment options, security controls, and non-functional requirements.
• Collaborate with engineering to validate feasibility, sequence delivery, identify risks, and provide guidance.
• Align designs to OpenAI, hyperscaler, OEM, and HCLTech capabilities; ensure reusable, scalable designs.
• Establish guardrails covering quality, safety, privacy, compliance, model behavior, and monitoring.
• Support presales and delivery with high-level designs, diagrams, estimates, dependencies, and risk notes.
• Participate in customer workshops, technical deep dives, demos, and architecture review boards.
• Maintain reusable architecture blueprints for common AI use cases across industries.

Skills

AI/LLM fundamentals

OpenAI/Azure OpenAI

Secure enterprise AI

POCs & pilots

Responsible AI controls

Tools

Azure OpenAI

ChatGPT Enterprise

Job description

The Solution Architect designs end-to-end architectures for AI, data, cloud platforms, AI-enabled applications, and enterprise workflows. The role translates customer requirements into scalable designs using OpenAI, hyperscaler and technology OEM ecosystems, and HCLTech capabilities while ensuring security, performance, compliance, Responsible AI, and delivery feasibility. The role produces reusable blueprints, solution artifacts, implementation guidance, and estimation assumptions that support strategic presales pursuits and transition into delivery.

Key Responsibilities

• Translate business and technical requirements into end-to-end architectures spanning AI, data, cloud, platforms, applications, integration, and operations.
• Define solution blueprints, integration patterns, deployment options, security controls, observability patterns, and non-functional requirements.
• Collaborate with engineering teams to validate feasibility, sequence delivery, identify risks, and define implementation guidance.
• Align solution designs to OpenAI, hyperscaler, technology OEM, and HCLTech product capabilities; ensure designs are reusable, scalable, and delivery-ready.
• Establish evaluation and guardrail requirements covering quality, safety, privacy, compliance, model behavior, and operational monitoring.
• Support presales and delivery teams with HLD/LLD inputs, architecture diagrams, effort estimates, assumptions, dependencies, and solution risk notes.
• Participate in customer workshops, technical deep dives, demo planning, and architecture review boards.
• Maintain reusable architecture blueprints and patterns for common AI use cases across industries and accounts.

Skill Requirements

• Strong AI/LLM fundamentals, including prompt engineering, embeddings, RAG, vector databases, agentic workflows, orchestration, model selection, and evaluation methods.
• Working experience with OpenAI or Azure OpenAI APIs, ChatGPT Enterprise use cases, OpenAI Codex or similar AI-assisted engineering tools, and hyperscaler AI services.
• Ability to architect secure enterprise AI solutions with data grounding, access controls, privacy controls, auditability, model observability, and human review loops.
• Experience designing POCs, pilots, prototypes, and production transition plans for AI-enabled applications or workflows.
• Ability to document Responsible AI controls, quality metrics, safety guardrails, and operational runbooks as part of solution design.

Other Requirements

• 10+ years of experience in solution architecture, enterprise application architecture, data/cloud architecture, platform engineering, or presales solutioning.
• Strong AI/LLM fundamentals and experience translating requirements into scalable technical designs.
• Experience in value discovery, solution architecture design, POC/pilot/prototype development, and technical estimation.
• Strong customer-facing and communication skills with ability to explain complex architecture decisions simply.
• Technical leadership experience with engineering, delivery, or platform teams.
• Experience with workflow design, integration patterns, security, compliance, and non-functional requirement definition
• Experience with Azure, AWS, Google Cloud, enterprise integration, data platforms, DevSecOps, MLOps/LLMOps, or API management.

Experience creating architecture diagrams, reusable solution blueprints, and bid response artifacts.

• Relevant cloud, AI, security, architecture, or data certifications

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 2026totaled $14.8billion.