Solutions Architect

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 strong 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
• Strong stakeholder communication and advisory skills

Good-to-Have Skills

• Azure AI Foundry
• Semantic Kernel
• LangChain / LlamaIndex
• 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 WhatsApp it to 8827565832.

Stay updated with our latest job opportunities and company news by following us on LinkedIn:

Sourcebae on LinkedIn