AI & Platform Solutions Designer | noida
3 days ago
HCLTech is a global technology company, home to more than 218,000 people across 59 countries. We deliver industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.
Estimated Salary: $150,000 - $200,000 per yearJob DescriptionWe are seeking an experienced Platform Architect with a strong background in AI/ML, LLM, SLM, Gen-AI, and Data Engineering to support the design, development, and co-creation of cutting-edge AI solutions. This role will require expertise in building real-world solutions that can be quickly demonstrated to clients, leveraging open-source tools and partner solutions to showcase impactful use cases across the industry verticals.
- Design and prototype scalable AI and platform solutions using LLMs, ML models, and data engineering pipelines to solve business challenges.
- Support proactive client conversations and responses to RFx and work as a team to evolve highly differentiated and innovative approaches to meet customer needs.
- Develop and implement use-cases by working with customer data.
- Create and deliver demos on the fly to showcase capabilities and solutions.
- Collaborate with open-source and partner solutions (ISVs, SaaS, Technology Partners) to create proof-of-concept (POC) projects that illustrate value in real-life scenarios.
- Architect seamless integrations for AI outputs with business systems and dashboards.
- Develop and optimize AI pipelines, ensuring quick iteration from concept to demo.
- Bachelor's or master's degree in computer science, engineering, or a related field.
- 10+ years of hands-on experience in full-stack engineering, including AI and data engineering, with proficiency in Python, C#, and architecture design.
- 5+ years in technical leadership, setting project direction and delivering AI solutions in real-world scenarios.
- Proven experience as a Platform Architect or similar role deploying AI systems in production, across vertical use cases.
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