AI Analyst

Overview

Design, build and operationalize secure, scalable, production-grade applications with AI embedded within business services, spanning front-end, back-end, APIs, cloud AI services and intelligent automation, including AI-enhanced RPA bots.

What you'll do

• Design and build end-to-end enterprise applications with AI capabilities integrated into business services and workflows.
• Develop responsive front-end applications using React and create secure back-end services using C#/.NET Core, Python and REST APIs.
• Design end-to-end enterprise AI and Generative AI solutions aligned with functional, security, integration, performance, availability and cost requirements.
• Create high-level and detailed solution architectures, architecture decision records, data flows, API contracts, deployment patterns and technical specifications.
• Build Retrieval-Augmented Generation (RAG), AI agents, copilots, document intelligence, conversational AI and intelligent workflow solutions.
• Build RPA bots and intelligent automation workflows, integrating AI capabilities such as document understanding, classification, extraction, summarization and decision support where relevant.
• Architect and implement Azure-based solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Functions, Service Bus, API Management, Storage and AKS.
• Architect and implement AWS-based solutions using Amazon Bedrock, Bedrock Agents and Knowledge Bases, Lambda, S3, OpenSearch, API Gateway, ECS or EKS.
• Evaluate foundation models and select models based on quality, latency, safety, data residency, throughput and cost.
• Develop secure REST APIs, microservices and event-driven processing components using C#/.NET Core and Python.
• Implement prompt management, grounding, structured outputs, guardrails, content safety, evaluation, observability and hallucination-reduction controls.
• Build CI/CD and Infrastructure-as-Code pipelines for repeatable provisioning, testing and deployment across environments.
• Partner with product, engineering, security, architecture, compliance and business teams to move solutions from discovery and proof of concept into production.
• Conduct design reviews, troubleshoot complex technical issues, document engineering decisions and mentor junior engineers.

What you'll need

• Strong full-stack application development experience, including React, JavaScript/TypeScript, C#/.NET Core, Python, REST APIs and service integration.
• Experience designing applications in which AI capabilities are embedded within user-facing and back-end business services rather than delivered only as standalone models or prototypes.
• Strong experience in AI solution design and architecture, including cloud-native, microservices, event-driven, API-led and containerized patterns.
• Hands-on experience with Generative AI, LLMs, prompt engineering, embeddings, vector search, RAG, tool/function calling and agent orchestration.
• Practical experience with Azure AI services and AWS Bedrock services in enterprise solution delivery.
• Hands-on experience building RPA bots and workflow automations using a leading RPA platform, with the ability to integrate bots with APIs, enterprise applications and AI services.
• Experience with FastAPI or similar API frameworks, ASP.NET Core Web API, OAuth 2.0, JWT, managed identities, RBAC, secrets management and secure networking.
• Experience with relational and NoSQL data stores, vector databases, caching, object storage and search platforms.
• Working experience with Docker, Kubernetes, Git, Azure DevOps or GitHub Actions, and Terraform, Bicep or CloudFormation.
• Understanding of AI evaluation, model monitoring, prompt/version management, telemetry, responsible AI, privacy and governance.
• Ability to work across changing priorities and select the appropriate engineering approach for AI applications, full-stack development, API integration or RPA automation.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline.
• 4-6 years of professional software engineering or AI engineering experience.
• Demonstrated experience designing and delivering full-stack applications and AI solutions on Azure and/or AWS.
• Experience taking applications, AI solutions or automation bots through design, development, testing, security review, deployment, monitoring and operational support.
• Strong analytical, documentation, stakeholder communication and technical problem-solving skills.

Nice to have

• Azure AI Engineer Associate, Azure Solutions Architect, AWS Solutions Architect, AWS Machine Learning, or relevant application development certification.
• Experience with Microsoft Copilot Studio, Azure AI Foundry Agent Service, Amazon Bedrock Agents or multi-agent frameworks.
• Experience with React-based enterprise applications, ASP.NET Core services, API gateways and modern authentication patterns.
• Experience with Power Automate Desktop, UiPath, Automation Anywhere or equivalent RPA platforms, including AI-assisted automation use cases.
• Experience with document processing, voice AI, human-in-the-loop review, workflow orchestration or enterprise automation.
• Knowledge of FinOps practices and cost optimization for AI workloads.
• Experience working in regulated or security-conscious enterprise environments.

Details

• Location: Thane, Mumbai.