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 Khushboo@Sourcebae.com or WhatsApp it to 8827565832.
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Work arrangement
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