Ai Architect Jobs in India

Roles and Responsibilities

• Analyze business needs and translate them into actionable AI and automation opportunities across teams.
• Develop and document AI and automation strategies aligned with organizational goals, measurable outcomes, and operating constraints.
• Work with stakeholders to map end-to-end processes, identify bottlenecks, and define improvement targets.
• Support the evaluation of AI/ML use cases by assessing feasibility, expected value, data readiness, and integration impacts.
• Create clear requirements and success criteria for automation initiatives, including scope, dependencies, and delivery milestones.
• Partner with engineering, data, and operations teams to ensure solutions meet business workflows and compliance expectations.
• Contribute to solution design by documenting how models, automation logic, and business rules interact within current systems.
• Maintain and communicate project artifacts such as process maps, requirement documents, and stakeholder updates.
• Monitor progress and participate in iterative delivery by incorporating feedback and adjusting requirements as needed.
• Facilitate workshops and working sessions to gather inputs, resolve ambiguities, and drive consensus.

Required Qualifications

• Proven experience in business analysis within technology-driven environments, including automation or analytics initiatives.
• Strong understanding of AI and automation concepts, including how AI/ML systems function in real-world contexts.
• Demonstrated ability to map and document business processes (e.g., current state/future state) to support solution planning.
• Experience gathering requirements from multiple stakeholders and translating them into clear, testable deliverables.
• Ability to assess data and system readiness at a conceptual level (availability, quality considerations, integration points).
• Excellent communication skills with the ability to present complex ideas to both technical and non-technical audiences.
• Strong stakeholder management skills, including facilitation, negotiation, and expectation-setting.
• Comfort working in a remote environment with well-organized planning, documentation, and follow-through.
• Experience with project tracking, documentation, and structured problem-solving approaches.

Key Responsibilities

• Lead discovery and analysis activities for AI and automation initiatives, including process documentation and requirement definition.
• Define use case business requirements: objectives, user impact, operational workflow changes, and success metrics.
• Produce process maps and business workflow documentation to guide implementation and change management.
• Collaborate with technical teams to ensure requirements align with system capabilities, data constraints, and rollout plans.
• Support prioritization of initiatives by estimating value, effort, risk, and dependencies across stakeholders.
• Ensure that automation solutions are designed to fit into operational processes, including handoffs, exceptions, and governance.
• Document assumptions, open questions, and decision logs to maintain clarity throughout the delivery lifecycle.
• Validate outcomes by defining acceptance criteria, performance expectations, and measurement approaches.
• Continuously refine requirements based on stakeholder feedback, pilot results, and implementation learnings.

We are looking for a GenAI Engineer (LLM Engineer) to build and scale LLM-powered SaaS applications with a secure, scalable, and high-performance architecture. In this role, you will be responsible for integrating Large Language Models (LLMs) into production applications, developing intelligent AI workflows, and building solutions that leverage Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

As an AI Integration Engineer, you will work on integrating LLM APIs, designing and optimizing RAG pipelines, managing Vector Databases, and collaborating with product and engineering teams to deliver scalable AI-powered features. You will also ensure application security, monitor performance, optimize latency and cost, and build reliable AI solutions that enhance the overall SaaS platform.

Key Responsibilities

• Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
• Design and develop Retrieval-Augmented Generation (RAG) Pipelines.
• Create and optimize Prompt Engineering workflows for AI applications.
• Build, manage, and optimize Vector Databases for efficient knowledge retrieval.
• Ensure data security, compliance, and high-performance AI architecture.
• Monitor and optimize AI model quality, latency, and operational cost.
• Collaborate with Product and Engineering teams to deliver scalable AI-powered SaaS features.

Experience Required

• 3+ years of backend development experience using Python, Go, or Node.js.
• Experience building LLM Applications using OpenAI, Claude, or Hugging Face.
• Hands-on experience with LangChain or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Experience working with Cloud Platforms (AWS, GCP, or Azure).
• Knowledge of APIs, Microservices, and Prompt Engineering.

Preferred

• Experience in FinTech or SaaS domain.
• Exposure to LLMOps and Model Fine-tuning.

Skills Required

Must Have

• Model Integration.
• Retrieval-Augmented Generation (RAG) Pipelines.
• Vector Database implementation and management.
• Security and Compliance best practices.
• AI Performance Monitoring and Optimization.

Preferred

• CI/CD for AI Applications.
• Observability for AI systems.

Education & Qualification

• B.Tech / BCA or Technical Certification.

Position Name – Software Architect (.NET, Blazor & MS SQL)

Experience – 12- 15+ yrs

Location – Pune (onsite)

Number of Position –1

Working Hours – 12pm -9pm

Working Days – 5 days (WFO)

Contract Duration – 3 months +extendable

Job Summary:

We are looking for an experienced and innovative Software Architect with strong expertise in .NET, Blazor, and MS SQL  to lead the design and development of scalable, secure, and high-performance enterprise applications. The ideal candidate will have extensive experience in architecting modern web applications, defining technical roadmaps, mentoring development teams, and ensuring adherence to industry best practices.

Key Responsibilities

• Design and implement scalable, secure, and maintainable software architectures using the Microsoft technology stack.
• Lead the architecture, design, and development of enterprise applications using .NET Core/.NET 8, Blazor, and MS SQL.
• Define application architecture, coding standards, design patterns, and best practices.
• Collaborate with product owners, business stakeholders, and technical teams to translate business requirements into technical solutions.
• Architect RESTful APIs and microservices-based applications.
• Optimize application performance, scalability, reliability, and security.
• Experience in Architectural design of an application from the scratch.
• Understanding the Functional requirement from the business user and provide the transitioning to technology team in form of technology requirement.
• Guide development teams through architecture reviews, code reviews, and technical mentoring.
• Ensure adherence to DevOps practices, CI/CD pipelines, and automated deployments.
• Evaluate emerging technologies and recommend improvements to existing systems.
• Work closely with QA, DevOps, and infrastructure teams to ensure successful application delivery.
• Create architecture documents, technical specifications, and solution diagrams.
• Identify technical risks and propose mitigation strategies.

Required Skills & Experience

• Strong expertise in C#, ASP.NET Core, and .NET
• Experience in Architectural design of an application from the scratch.
• Understanding the Functional requirement from the business user and provide the transitioning to technology team in form of technology requirement.
• Hands-on experience with Blazor Server and Blazor Web Assembly.
• Extensive experience with MS SQL, including schema design, indexing, aggregation pipelines, and performance optimization.
• Strong knowledge of REST APIs, Microservices Architecture, and Web APIs.
• Experience with Entity Framework Core, LINQ, and ORM concepts.
• Strong understanding of Dependency Injection, SOLID principles, Clean Architecture, and Domain-Driven Design (DDD).
• Experience with Docker, Kubernetes, and containerized application deployment.
• Hands-on experience with Azure or AWS cloud platforms.
• Experience with Azure DevOps, GitHub Actions, or Jenkins for CI/CD.
• Strong knowledge of authentication and authorization mechanisms such as OAuth 2.0, OpenID Connect, and JWT.
• Familiarity with message brokers such as RabbitMQ, Azure Service Bus, or Kafka.
• Experience in application performance tuning and monitoring.
• Strong analytical, troubleshooting, and problem-solving skills.

Technical Skills

• Programming Languages: C#, .NET Core, ASP.NET Core
• Frontend: Blazor Server, Blazor Web Assembly, HTML5, CSS3, JavaScript
• Database: MS SQL Server
• Architecture: Microservices, Clean Architecture, DDD, SOLID Principles
• Cloud: Microsoft Azure / AWS
• DevOps: Azure DevOps, GitHub Actions, Docker, Kubernetes
• Version Control: Git
• API Technologies: REST APIs, Swagger/Open API
• Security: OAuth 2.0, JWT, OpenID Connect

Experience

• Total Experience: 12–15+ years
• Relevant Experience:
• .NET: 8+ years
• Blazor: 3+ years
• MS SQL: 3+ years
• Solution/Software Architecture: 4+ years