Title: AI developer

Key Responsibilities

- Define the end-to-end architecture for an AI-driven SDLC platform that supports software delivery from requirements through deployment.

- Design and implement multi-agent orchestration frameworks using Azure AI, Semantic Kernel, Copilot Studio, AutoGen, CrewAI, LangChain, or similar agent technologies.

- Architect AI capabilities for automated requirements analysis, user story generation, solution design creation, fit-gap assessment, technical documentation generation, and test automation.

- Design and implement Retrieval-Augmented Generation (RAG), vector search, knowledge graph, and enterprise knowledge management architectures.

- Establish Human-in-the-Loop (HITL) controls and governance mechanisms to ensure quality, compliance, traceability, and auditability of AI-generated outputs.

- Define integration patterns between AI agents and enterprise platforms such as Azure, GitHub, Azure DevOps, Jira, CI/CD pipelines, enterprise repositories, and business applications.

- Lead architecture decisions related to Responsible AI, security, model governance, prompt engineering standards, and regulatory compliance.

- Provide technical leadership, architecture governance, and mentorship to AI engineers, software architects, and development teams.

- Develop reusable AI accelerators, frameworks, reference architectures, and implementation patterns to drive adoption and scalability.

- Continuously evaluate emerging AI technologies and identify opportunities to enhance platform capabilities and SDLC automation.





Required Skills & Experience

- 5+ years of experience designing and implementing AI, GenAI, Machine Learning, or Agentic AI solutions.

- Solid expertise in enterprise AI architecture, large language models (LLMs), autonomous agents, and AI orchestration frameworks.

- Hands-on experience with Azure AI Foundry, Azure OpenAI, Semantic Kernel, Copilot Studio, LangChain, AutoGen, CrewAI, or equivalent technologies.

- Deep understanding of RAG architectures, vector databases, embeddings, knowledge graphs, semantic search, and enterprise knowledge systems.

- Proficiency in Python and/or C# with experience building AI-enabled applications and services.

- Experience designing API-driven, event-based, cloud-native, and microservices-based architectures.

- Strong knowledge of GitHub Copilot, Azure DevOps, CI/CD pipelines, DevSecOps, and SDLC best practices.

- Experience implementing AI governance, security, compliance, risk management, and Responsible AI principles.

- Excellent stakeholder management, leadership, and executive communication skills.

Preferred Qualifications

- Experience building AI-powered SDLC accelerators, engineering copilots, or software development automation platforms.

- Azure AI Engineer Associate or equivalent AI/ML certifications.

- Experience implementing Copilot, Agentic AI, or intelligent automation solutions in enterprise environments.

- Familiarity with Dynamics 365 CRM, Power Platform, Dataverse, or enterprise SaaS platforms.

📌 Artificial Intelligence Developer (Hyderabad)
🏢 Arohak Technologies
📍 Hyderabad