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