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
Robust 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

[email protected]

or WhatsApp it to

(phone hidden) .
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📌 Solutions Architect (Mumbai)
🏢 Sourcebae
📍 Mumbai