Solution Architect

Taxmann Publications; Delhi; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Taxmann Publications is looking for a skilled Solution Architect in Delhi. The ideal candidate will have 5+ years of experience in AI/ML system design, with hands-on expertise in Vector Search Engines and LLM tuning.

You will work closely with engineering teams to deliver innovative, scalable AI solutions while mentoring junior developers. This is a vital on-site role, ensuring the integration of AI across products.

Qualifications include a degree in Computer Science or related fields and proven leadership skills.

Qualifications

• 5+ years of experience in software architecture focusing on AI/ML system design.
• Hands-on expertise in Vector Search Engines and LLM tuning.
• Experience with multi-tech teams and excellent leadership skills.

Responsibilities

• Architect and deliver enterprise-grade AI solutions using Vector Databases.
• Lead AI solution design discussions.
• Guide junior engineers and define best practices for AI model training.

Skills

AI/ML system design

Team leadership

Vector Search Engines

RAG systems

LLM Tuning

Prompt Engineering

Microservices

API integration

Education

Bachelor's or Master's in Computer Science

Tools

FAISS

Python

MERN/MEAN

LLaMA

GPT

Job description

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), and 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.