Solutions Architect

HCLTech; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

HCLTech in Bengaluru is seeking a Forward Deployed Engineer to work directly with enterprise customers, delivering AI, data engineering, cloud, and distributed system solutions. You will translate business problems into scalable, production-grade software while driving architecture and best practices.

The role requires strong hands-on engineering expertise, excellent customer-facing communication, and the ability to rapidly prototype and deploy in high-impact environments.

Qualifications

• 10+ years hands-on engineering experience.
• Strong customer-facing communication skills.
• Experience with AI/ML, data engineering, cloud, distributed systems.

Responsibilities

• Engage with client stakeholders to understand business objectives.
• Translate requirements into scalable technical solutions.
• Lead architecture discussions and solution demonstrations.
• Mentor engineering teams and establish development standards.
• Design, build, and deploy production-grade applications, data pipelines, and AI-powered solutions.

Skills

Customer engagement

Solutioning

Technical leadership

Architectures

APIs & microservices

Job description

Experience: 10+ Years

Employment Type: Full-Time

About the Role

As a Forward Deployed Engineer (FDE), you will work directly with enterprise customers to solve complex business challenges using cutting-edge technologies including AI, Data Engineering, Cloud, Distributed Systems, and Modern Application Architecture. You will operate at the intersection of engineering, consulting, and product innovation, translating customer problems into scalable technical solutions.

This role requires strong hands-on engineering expertise, customer-facing communication skills, and the ability to rapidly prototype and deploy solutions in high-impact environments.

Key Responsibilities

Customer Engagement & Solutioning

• Partner directly with client stakeholders to understand business objectives and technical challenges.
• Translate ambiguous business requirements into scalable technical solutions.
• Lead technical workshops, architecture discussions, and solution demonstrations.
• Serve as a trusted advisor for enterprise modernization initiatives.
• Design, develop, and deploy production-grade applications and platforms.
• Build APIs, microservices, data pipelines, and AI-powered solutions.
• Drive performance optimization, scalability, and security best practices.

AI & Data Solutions

• Build and deploy Generative AI and Machine Learning solutions.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Implement LLM integrations, prompt engineering, and AI workflows.

Technical Leadership

• Mentor engineering teams and establish development standards.
• Lead architecture reviews and technical governance.
• Drive innovation and reusable solution frameworks.
• Collaborate with product, design, data, and business teams.