Solutions Architect

Uplers; Chandigarh; Remote; INR 4,000,000 - 5,000,000; Full time

Job summary

A recruitment agency is seeking an experienced AI Solutions Architect for a remote position. The ideal candidate will have significant expertise in machine learning, large language models, and natural language processing. Responsibilities include designing AI agent workflows and engaging with stakeholders to deliver intelligent solutions. This role offers a competitive salary based on experience and a great work environment to advance your career.

Qualifications

• Strong background in machine learning and deep learning, including model training and evaluation.
• Experience developing ML-powered enterprise applications. NLP & Data Intelligence.
• Advanced understanding of NLP techniques, including entity extraction, summarization, topic modeling.

Responsibilities

• Consult with internal and client teams to determine agent workflows for specific use cases.
• Define capabilities, intents, and interaction flows of AI agents.
• Design the system architecture for multi-agent orchestration and model integration.
• Guide the selection, fine-tuning, and integration of LLMs and RAG pipelines.

Skills

Problem Solving Attitude

Communication Skill

Stakeholder Management

Ownership

AI agent workflows

LLMs

rag

MVP

NLP

Python

Machine learning (ML)

Job description

Experience

8.00 + years

Salary

INR 4000000-5000000 / year (based on experience)

Expected Notice Period

30 Days

Shift

(GMT+05:30) Asia/Kolkata (IST)

Opportunity Type

Remote

Placement Type

Full Time Permanent position(Payroll and Compliance to be managed by: Lyzr)

Note

This is a requirement for one of Uplers' client - Lyzr

What do you need for this opportunity?

Must have skills required:

• Problem Solving Attitude, Communication Skill, Stakeholder Management, Ownership, AI agent workflows, LLMs, rag, MVP, NLP, Python, Machine learning (ML)

Lyzr is Looking for:

• We are seeking an experienced and innovative AI Solutions Architect to join our team. This role combines deep technical expertise in machine learning, large language models (LLMs), and NLP with consultative skills to help design, guide, and implement cutting-edge AI agents and workflows. You will play a critical role in determining which AI agents should be built, how data should be handled, and how models should be integrated and optimized to deliver intelligent and reliable outcomes.

Key Responsibilities

• Agent Architecture & Workflow Design: Consult with internal and client teams to determine which agent workflows need to be created for specific use cases.
• Define capabilities, intents, and interaction flows of AI agents to meet business goals.
• Design the system architecture for multi-agent orchestration and model integration.
• Model Strategy & Execution: Guide the selection, fine-tuning, and integration of LLMs, RAG pipelines, and transformer-based models.
• Define how models will interact with different data modalities (text, audio, video, structured data).
• Evaluate and benchmark model performance and retraining needs.
• Data Enrichment & Intelligence: Advise on how to configure, enrich, and pre-process data (structured/unstructured) for maximum model performance.
• Oversee entity extraction, topic modeling, summarization, and other NLP-driven enrichment techniques.
• Ensure data pipelines are designed for continuous learning and improvement.
• Solution Implementation & Code Ownership: Lead prototyping and MVP development, translating architecture into production-grade solutions.
• Collaborate with developers to build scalable AI services and interfaces.
• Write clean, efficient, and modular code to integrate AI components.
• Stakeholder Engagement & Technical Consultation: Translate complex AI concepts into actionable recommendations for non-technical stakeholders.
• Provide strategic input on product direction, capabilities, and limitations.
• Maintain a high degree of ownership and accountability across all initiatives.

Required Skills & Experience

• Core AI/ML Expertise: Strong background in machine learning and deep learning, including model training and evaluation.
• Experience developing ML-powered enterprise applications. NLP & Data Intelligence.
• Advanced understanding of NLP techniques, including entity extraction, summarization, topic modeling, etc.
• Experience with structured and unstructured data feature engineering. LLM & Agent Ecosystem.
• Solid understanding of LLM architecture, prompt engineering, and RAG (Retrieval-Augmented Generation) frameworks.
• Exposure to multi-modal agent delivery (text, audio, video).

Additional Qualifications

• Strong problem-solving aptitude applied to real-world use cases.
• Excellent communication and stakeholder management skills.
• Proactive mindset with ownership of end-to-end delivery.

Preferred Qualifications

• Experience with cloud-based ML platforms (AWS/GCP/Azure).
• Familiarity with agent orchestration platforms or LangChain-like frameworks.
• Understanding of vector databases, embeddings, and context-aware retrieval systems.

Interview Process

• Round 1: Technical Interview
• Round 2: Assignment
• Round 3: Cultural Fitment

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!