Solution Architect

4 days ago

Delhi NCR, India Taxmann Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role Overview:We are looking for a Solution Architect with proven experience in AI/ML system design, team leadership, and successful delivery of Vector DB-based, RAG-enabled, and LLM-tuned solutions. You will act as both a technical leader and a strategic enabler, guiding developers across technologies to adopt best practices in integrating AI into products and internal processes.

This is a critical onsite role, working directly with engineering managers and developers across technologies (including .NET, Python, MERN/MEAN), ensuring scalable, maintainable, and innovative AI-driven systems.

Key Responsibilities:

  • Architect, plan, and deliver enterprise-grade AI solutions using:
  • Vector Databases (e.g., FAISS, Chroma)
  • RAG Pipelines (Retrieval-Augmented Generation)
  • LLM Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback)
  • Lead AI solution design discussions and provide actionable architecture blueprints.
  • Collaborate with engineering teams (Python, .NET, MERN, MEAN) to integrate AI modules into existing and new systems.
  • Evaluate and select AI/ML frameworks, infrastructure, and tools suited for business needs.
  • Guide and mentor junior AI engineers and full-stack developers on technical direction, code quality, and solution robustness.
  • Define and implement best practices for model training, versioning, deployment, and monitoring.
  • Translate business needs into technical strategies for AI adoption across products and internal processes.
  • Stay ahead of emerging AI trends and continuously assess their applicability to business goals.

Required Skills & Qualifications:

  • Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields.5+ years of experience in software architecture with a focus on AI/ML system design and project delivery.Hands-on expertise in:
  • Vector Search Engines (e.g., FAISS, Pinecone, Chroma)
  • LLM Tuning & Deployment (e.g., LLaMA, GPT, Mistral, etc.)
  • RAG systems, Prompt Engineering, LangChain
  • RLHF techniques and supervised finetuning
  • Experience working with multi-tech teams (especially .NET and JavaScript-based stacks).
  • Strong command over architecture principles, scalability, microservices, and API-based integration.
  • Excellent team leadership, mentorship, and stakeholder communication skills.
  • Prior experience delivering at least one production-grade AI/NLP project with measurable impact.

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