Solutions Architect
Actively Reviewing the ApplicationsUplers
India, Uttarakhand, Dehradun
Full-Time
On-site
Posted 11 hours ago
•
Apply by June 16, 2026
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:
Core AI/ML Expertise (3–4 years):
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!
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.
- 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.
- 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.
- 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.
- 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.
Core AI/ML Expertise (3–4 years):
- Strong background in machine learning and deep learning, including model training and evaluation.
- Experience developing ML-powered enterprise applications. NLP & Data Intelligence (2–3 years)
- Advanced understanding of NLP techniques, including entity extraction, summarization, topic modeling, etc.
- Experience with structured and unstructured data feature engineering. LLM & Agent Ecosystem (1–2 years)
- Solid understanding of LLM architecture, prompt engineering, and RAG (Retrieval-Augmented Generation) frameworks.
- Exposure to multi-modal agent delivery (text, audio, video).
- 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.
- 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.
- Round 1: Technical Interview
- Round 2: Assignment
- Round 3: Cultural Fitment
- 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!
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!
Required Skills
Communication
Problem Solving
Machine Learning
Engineering
Compliance
Python
Training
AWS
Stakeholder Management
Prototyping
Deep Learning
Azure
LangChain
Continuous Learning
NLP
RAG
Hiring
Orchestration
Data Intelligence
System architecture
Workflow design
Modeling
Vector
Entity
Large Language Models
Enterprise Applications
Data pipelines
Summarization
Entity extraction
Fine-tuning
Transformer
Aptitude
NLP Techniques
Extraction
Retrieval-Augmented Generation
Prompt engineering
Unstructured data
Machine Learning and
Retrieval
LLMs
Model integration
Data enrichment
Model Training
Audio
AI/ML
Stakeholder engagement
LLM
Augmented Generation
MVP
Retrieval-augmented
Vector Databases
Embeddings
AI Agents
Feature Engineering
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