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Solutions Architect - Generative AI Platform

Solutions Architect - Generative AI Platform

True Tech ProfessionalsGurugram
11 days ago
Job description

Position : Solution Architect / Technical Lead GenAI & Data Products.

Location : Gurgaon Hybrid || Immediate Joiners Preferred.

Were looking for a highly skilled and hands-on Solution Architect or Technical Owner who excels in designing and delivering Data and AI-powered platforms, with a strong focus on cloud-native applications, machine learning, and Generative AI (GenAI).

This role combines deep technical knowledge with a product mindset, where you'll drive the design and development of resilient, scalable, and secure systems from the ground up.

Role Summary :

As a Tech Lead, you will guide cross-functional teams in developing modern AI products leveraging AWS cloud, ML pipelines, and GenAI integration (LLMs, RAG).

You'll be responsible for solution design, infrastructure setup, full-stack delivery, and governance enforcement.

Key Responsibilities :

  • Architect and deliver GenAI solutions using AWS tools such as ECS, RDS, Lambda, and S3.
  • Build scalable, modular microservices using Python, integrating Redis for caching and Qdrant / Redis Vector for semantic search.
  • Incorporate GenAI tools and frameworks like OpenAI, LangChain, LangGraph, and HuggingFace APIs with secured and optimized API pipelines.
  • Lead the frontend stack using Next.js (TypeScript) for highly responsive, server-side rendered interfaces.
  • Manage cloud infrastructure automation through Terraform, AWS CDK, and GitHub Actions in CI / CD pipelines.
  • Design data systems combining Snowflake, PostgreSQL (RDS), and S3, ensuring performance and reliability for analytics and transactional needs.
  • Support legacy-to-cloud transformations and enforce best practices in security, compliance, and operational readiness.
  • Drive team excellence through mentorship, code / design reviews, and collaborative development aligned with business goals.

Ideal Candidate Profile :

  • Extensive experience leading AI / ML platform development and integrating Generative AI solutions.
  • Deep expertise in AWS architecture and end-to-end product engineering.
  • Strong familiarity with machine learning operations, LLM productionization, and vector databases.
  • Experience with frontend / backend orchestration, DevOps tools, and secure cloud deployment.
  • Proven ability to collaborate with stakeholders, define technical strategy, and mentor engineering teams.
  • ref : hirist.tech)

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