Solution Architect – AI & Technical Architecture

Experience: 10–15 Years

Travel: Candidate must travel to Ahmedabad once a month at their own expense

Shift: 11:00 AM – 8:00 PM IST

Education: B. Tech

Role Overview

We are looking for an experienced Solution Architect – AI & Technical Architecture with solid expertise in AI architecture, Generative AI, LLMs, cloud architecture, and enterprise solution design .

The ideal candidate will assess existing technical and AI architectures, define target-state architecture, provide architectural guidance on GenAI/LLM solutions, and work closely with engineering, product, and business stakeholders to build scalable, secure, reliable, and cost-effective solutions.

Key Responsibilities

- Assess current-state technical, cloud, data, and AI architecture and identify risks, bottlenecks, technical debt, and improvement opportunities.
- Define target-state architecture aligned with product objectives, scalability, security, and budget.
- Design and advise on Generative AI, LLM, RAG, model selection, prompt engineering, context engineering, and inference architecture .
- Guide teams on LLM orchestration, Agentic AI workflows, embeddings, vector search, and knowledge retrieval .
- Design AI lifecycle practices covering evaluation, monitoring, accuracy, hallucination, drift, bias, cost, and latency optimization .
- Recommend Microsoft Azure / Azure AI / Azure OpenAI and equivalent cloud architecture patterns.
- Guide engineering teams through architecture and design reviews and support selective hands-on POCs/prototyping.
- Establish architecture standards, reference architectures, design patterns, and Architecture Decision Records (ADRs) .
- Define security and responsible AI practices, including guardrails, privacy, prompt-injection mitigation, content safety, and governance .
- Identify architectural risks, dependencies, and trade-offs and communicate recommendations to technical and senior stakeholders.




- Develop phased technical and AI transformation roadmaps aligned with business and delivery priorities.
- Evaluate build-vs-buy decisions for AI models, services, platforms, and technology components.
- Collaborate with engineering, product, data, cloud, and security teams to ensure successful solution delivery.

Mandatory Skills

- 10+ years of experience in Solution Architecture / Technical Architecture
- Strong experience in AI Architecture and Generative AI
- Large Language Models (LLMs )
- RAG (Retrieval-Augmented Generation)
- LLM Orchestration
- Prompt & Context Engineering
- Model Selection & Evaluation
- Agentic AI / Agentic Workflows
- Data Architecture & Data Pipelines
- Embeddings, Vector Search & Knowledge Retrieval
- Cloud-Native Architecture
- Microservices & API Design
- Event-Driven Architecture
- Microsoft Azure
- Azure AI / Azure OpenAI
- Scalability, Performance & Inference Infrastructure
- Containerization
- Security Architecture
- Responsible AI & AI Guardrails
- MLOps / LLMOps
- Observability
- Cost & Latency Optimization
- Architecture Governance & Design Reviews
- Technical Roadmapping
- Solid stakeholder communication and advisory skills

Good-to-Have Skills

- Azure AI Foundry
- Semantic Kernel
- Lang Chain / Llama Index
- Model Fine-Tuning
- Multi-Agent Systems
- AI Evaluation Frameworks
- Azure AI Search
- Pinecone / pgvector / Vector Databases
- Kubernetes / AKS
- Terraform / Bicep
- CI/CD & Serverless Architecture
- Multi-Cloud Architecture
- Data Governance, Lineage & Cataloging
- Data Privacy & Compliance
- Prompt-Injection & Abuse Mitigation
- Enterprise Architecture
- Technical Due Diligence
- Advisory / Consulting Engagements

Education

B. Tech / B.E. in Computer Science, Information Technology, Engineering, or a related field.

Apply Now

Interested candidates can share their updated CV at or Whats App it to .

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