llm architect

NTT DATA

<div>Job Title: AI Innovation Architect 
 
Job Summary 
 
We are seeking a visionary and hands-on AI Innovation Architect with a strong background in software engineering, cloud platforms, and Generative AI. The ideal candidate will have 10+ years of experience in designing and delivering enterprise-grade solutions, with deep expertise in LLM integration, MCP protocol, RAG architecture, and AI-driven application design. This role is pivotal in shaping the architecture and technical direction of AI-powered products and platforms, collaborating across engineering, product, and business teams to drive innovation and value. 
 
Key Responsibilities 
<ul><li>
Architect and lead the development of scalable, secure, and high-performance AI solutions using LLMs, RAG, and MCP.</li><li>
Define and implement strategies for LLM model selection, prompt engineering, tool calling, and chunking optimization.</li><li>
Collaborate with engineering teams to integrate AI capabilities into frontend (React, TypeScript) and backend (Python, FastAPI) systems.</li><li>
Guide the implementation of OAuth 2.0, API-based system integrations, and cloud-native deployments (preferably on GCP).</li><li>
Work closely with QA, DevOps, and delivery teams to ensure end-to-end solution quality and performance.</li><li>
Engage with stakeholders to understand business needs and translate them into innovative AI architectures.</li><li>
Provide technical leadership and mentorship across cross-functional teams.</li><li>
Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms for enterprise adoption.</li></ul> 

Qualifications 
<ul><li>
10+ years of experience in software architecture and solution design.</li><li>
Proven experience in:</li><li><ul><li>
Generative AI, LLM integration, and RAG implementation.</li><li>
MCP protocol, tool calling, and prompt engineering.</li><li>
Python, FastAPI, and OAuth 2.0 for backend development.</li><li>
React, TypeScript, and Tailwind CSS for frontend integration.</li></ul></li><li>
Strong understanding of cloud platforms, preferably Google Cloud Platform (GCP).</li><li>
Experience in Agile delivery environments and stakeholder engagement.</li><li>
Educational background: 10 + 2 + 4 (Bachelor's degree in Computer Science, Engineering, or related field).</li></ul> 

Key Competencies 
<ul><li>
AI &amp; System Architecture: Expertise in designing AI-first systems with scalable and modular architecture.</li><li>
Innovation Leadership: Ability to drive innovation and influence technical direction across teams.</li><li>
Stakeholder Management: Strong communication and expectation-setting skills with technical and business stakeholders.</li><li>
Agile Execution: Experience leading Agile teams and delivering iterative value.</li><li>
End-to-End Delivery: Proven ability to oversee architecture, development, testing, and deployment of AI solutions.</li></ul></div>

Data & Business Insights Analyst

Convo

<div>
 The Sr. AI Engineer will design, architect, and implement
 
 advanced AI systems
 
 leveraging
 
 multi-agent frameworks
 
 ,
 
 RAG pipelines
 
 , and
 
 LLM orchestration layers
 
 . You&rsquo;ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.
 </li>
 <li>
 Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.
 </li>
 <li>
 Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.
 </li>
 <li>
 Develop modular LLM pipelines combining tools, memory, and dynamic context switching.
 </li>
 <li>
 Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.
 </li>
 <li>
 Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.
 </li>
 <li>
 Build autonomous data ingestion and learning loops to continuously improve AI system performance.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.
 </li>
 <li>
 Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience
 </li>
 <li>
 Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.
 </li>
 <li>
 Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.
 </li>
 <li>
 Experience deploying AI pipelines in production environments (microservices or distributed systems).
 </li>
 <li>
 Hands-on with vector DBs, semantic embeddings, and knowledge graphs.
 </li>
 <li>
 Solid grasp of LLM evaluation, memory management, and context-aware reasoning.
 </li>
 <li>
 Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).
 </li>
 <li>
 Strong understanding of system design, data pipelines, and cloud-based AI architectures.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.
 </li>
 <li>
 Experience building autonomous agents or self-improving task networks.
 </li>
 <li>
 Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.
 </li>
 <li>
 Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.
 </li>
 <li>
 Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.
 </li>
 </ul>
</div>

Senior AI Engineer

Mogi I/O

Job Title Python Backend Developer LLM &amp; ML Systems (3 Months Contract) Job Description Python Backend Developer LLM &amp; ML Systems (3 Months Contract) Role Summary We are hiring a Python Backend Developer to architect and implement advanced AI-driven backend systems for LLM and ML workflows. This is a fully remote, contract-based role designed for engineers who excel at building scalable APIs, orchestrating intelligent services, and integrating cutting-edge frameworks like LangChain and LangGraph. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, fully remote, hourly-based) Position Overview As a Python Backend Developer, you will design and maintain backend services powering LLM-based systems, focusing on performance, observability, and scalability. Your work will involve creating RAG pipelines, implementing AI orchestration layers, and ensuring seamless integration for enterprise-grade applications. What You ll Do * Develop robust, production-grade backend services and REST APIs using Python. * Design and maintain scalable AI-driven workflows, including Retrieval-Augmented Generation (RAG) pipelines. * Integrate Large Language Models (LLMs) like OpenAI and Anthropic using LangChain, LangGraph, or similar frameworks. * Implement observability, logging, and fault-tolerant architectures for distributed systems. * Collaborate with cross-functional teams to ensure clean, maintainable, and efficient solutions. Ideal Profile * 5+ years of experience in backend development (or full-stack with backend focus). * Strong expertise in Python, API architecture, and microservices. * Proven experience deploying LLM-based solutions in production environments. * Hands-on knowledge of LangChain, LangGraph, or similar AI orchestration frameworks. * Familiarity with CI/CD pipelines, containerization (Docker), and cloud environments. * Excellent communication skills for remote team collaboration.

Python Backend Developer

Recruber

<div>Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join LevelShift as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization. 
 
What Youll Do 
 
As a Data Scientist at LevelShift, you will: 
 
<ul><li>Design &amp; Build AI Pipelines: Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation.</li>
<li>Agentic Systems: Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives.</li>
<li>LLM Engineering: Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making.</li>
<li>System Modernization: Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data.</li>
<li>Model Optimization: Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements.</li>
<li>Cloud &amp; Deployment: Orchestrate scalable AI services and workflows in cloud environments.</li> 
</ul> 
Your Skillset 
 
Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. 
 
Technical Skills: 
 
<ul><li>5+ years in AI/ML solution design and development, with hands-on LLM integration.</li>
<li>Python Advanced proficiency for AI/ML development and orchestration.</li>
<li>LLM Development Prompt engineering, chaining logic, context window management, API integration.</li>
<li>Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems.</li>
<li>RAG Vector databases, embeddings, and retrieval-augmented knowledge systems.</li>
<li>Cloud Deployment and management of AI services, preferably on Microsoft Azure.</li> 
</ul> 
Good to Have
<ul><li>Experience with PCF or React for building intelligent front-end components.</li>
<li>Contributions to open-source AI frameworks or research.</li> 
</ul> 
Certifications Preferred
<ul><li>Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.</li> 
</ul> 
Why LevelShift?
<ul><li>Work on cutting-edge LLM-based AI projects with global impact.</li>
<li>Collaborate with experts in AI, ML, and cloud technologies.</li>
<li>Grow your career in an innovation-driven, learning-focused environment.</li> 
</ul> 
If youre ready to design and deliver intelligent AI/ML solutions, apply now at joinus@levelshift.com and take the next step in your Data Science career!</div>

Data Scientist

Virtusa

<div>Job description:
 
 
We are seeking an experienced AI/ML Architect with a strong background in Python development, cloud architecture, and modern AI frameworks. The ideal candidate will design and implement scalable AI solutions, integrate advanced LLM capabilities, and lead end-to-end solution architecture across multiple platforms (Azure and AWS).
 
 
Key Responsibilities:
 
 
Design and architect AI/ML solutions leveraging modern frameworks and cloud-native services.
 
Develop and deploy APIs, microservices, and data pipelines using Python, FastAPI, and Streamlit.
 
Implement RAG (Retrieval-Augmented Generation), Agentic RAG, and vector database solutions for AI-driven applications.
 
Work with LangChain, LangGraph, and LangFlow to build and optimize LLM-based applications.
 
Develop and maintain Infrastructure as Code (IaC) using Bicep scripts for Azure and AWS environments.
 
Collaborate with data scientists, engineers, and product teams to translate business needs into technical designs.
 
Ensure performance, scalability, and security of deployed solutions.
 
Stay updated on AI/ML advancements and propose innovative approaches for continuous improvement.
 
 
Must-Have Skills:
 
Programming Languages: Python (FastAPI, Streamlit, REST APIs)
 
AI/ML Frameworks: LangChain, LangGraph, LangFlow
 
AI Concepts: Embeddings, Vector Databases, RAG, Agentic RAG
 
Cloud Platforms: Azure and AWS
 
IaC: Experience with Bicep scripts
 
Strong understanding of AI architecture principles and modern data stack design 
<div>
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

AIML Python

Lithan Academy

Position OverviewWe are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft&rsquo;s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.Key Responsibilities &middot; Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security. &middot; AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio. &middot; Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM) &middot; MCP Integration Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers. &middot; End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability. &middot; Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes. &middot; Data &amp; Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG). &middot; Data Pipelines Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation. &middot; Collaboration &amp; Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets. &middot; Continuous Improvement Stay updated with Microsoft&rsquo;s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.Required Skills &amp; Qualifications &middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, or a related field. &middot; 3&ndash;6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.Certifications in Microsoft Certified:<ul><li>AI-102 &ndash; Azure AI Engineer Associate or Azure Solutions Architect</li><li>DP-100 &ndash; Azure Data Scientist Associate</li><li>AZ-204 &ndash; Azure Developer Associate</li><li>AZ-400 &ndash; Azure DevOps Engineer Expert</li></ul>&middot; Hands-on experience with: o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI) o Knowledge Microsoft Copilot Studio &amp; Power Platform o Azure Functions, AKS (Kubernetes), App Services, Logic Apps o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.) o Azure Fabric Pipelines &middot; Strong programming background in Python, C#, or Node.js for AI/LLM development. &middot; Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel). &middot; Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions. &middot; Understanding of enterprise security, compliance, and data governance in Azure.Preferred Skills &middot; Experience integrating AI into enterprise systems (Eg. CRM, ERP, LMS). &middot; Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs. &middot; Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads. &middot; Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications. &middot; Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement. &middot; Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments &middot; Exposure to Agile/Scrum methodologies for project delivery.Job Type: Full-timePay: &#8377;185,000.00 - &#8377;240,000.00 per month

Azure AI Engineer - India

Position OverviewWe are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft&rsquo;s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.Key Responsibilities &middot; Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security. &middot; AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio. &middot; Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM) &middot; MCP Integration Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers. &middot; End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability. &middot; Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes. &middot; Data &amp; Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG). &middot; Data Pipelines Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation. &middot; Collaboration &amp; Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets. &middot; Continuous Improvement Stay updated with Microsoft&rsquo;s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.Required Skills &amp; Qualifications &middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, or a related field. &middot; 3&ndash;6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.Certifications in Microsoft Certified:<ul><li>AI-102 &ndash; Azure AI Engineer Associate or Azure Solutions Architect</li><li>DP-100 &ndash; Azure Data Scientist Associate</li><li>AZ-204 &ndash; Azure Developer Associate</li><li>AZ-400 &ndash; Azure DevOps Engineer Expert</li></ul>&middot; Hands-on experience with: o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI) o Knowledge Microsoft Copilot Studio &amp; Power Platform o Azure Functions, AKS (Kubernetes), App Services, Logic Apps o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.) o Azure Fabric Pipelines &middot; Strong programming background in Python, C#, or Node.js for AI/LLM development. &middot; Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel). &middot; Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions. &middot; Understanding of enterprise security, compliance, and data governance in Azure.Preferred Skills &middot; Experience integrating AI into enterprise systems (Eg. CRM, ERP, LMS). &middot; Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs. &middot; Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads. &middot; Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications. &middot; Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement. &middot; Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments &middot; Exposure to Agile/Scrum methodologies for project delivery.Job Type: Full-timePay: Rs185,000.00 - Rs240,000.00 per monthWork Location: Remote

Azure AI Engineer - (remote)

Search 1989+ Llm architect jobs near you this October. New roles added regularly across leading industries. Apply today.