We are looking for a hands-on Senior AI/GenAI Architect who can own the architecture and technical design of production-grade AI solutions from concept and PoC through development, deployment, and operationalization.

The ideal candidate should have a strong software engineering and architecture foundation, combined with deep hands-on experience in Generative AI, Agentic AI, LLM applications, RAG, AI engineering and AI SDLC.

This is not primarily a delivery/program management or business AI consulting role. We are looking for someone who can demonstrate architectural depth through actual implementations, technical design decisions, code, GitHub/projects, PoCs and production systems.

Key Responsibilities

- Own end-to-end architecture for GenAI and Agentic AI solutions.
- Translate business/technical requirements into scalable, secure and production-ready AI architectures.
- Design and implement:
- LLM-based applications
- RAG architectures
- Agentic workflows
- Multi-agent systems
- Tool/function calling
- Memory and context management
- Human-in-the-loop workflows
- Define architecture across the complete AI SDLC — development, testing, evaluation, deployment, monitoring and continuous improvement.
- Design AI systems that integrate with enterprise applications through APIs, microservices and event-driven architectures.
- Make architectural decisions around:
- Model selection
- RAG vs fine-tuning
- Embeddings/vector databases
- Agent orchestration
- Framework selection
- Cloud/platform selection
- Cost, latency, scalability and performance
- Establish LLMOps/MLOps and AI observability practices including evaluation, tracing, monitoring, quality measurement and feedback loops.
- Define security, governance, Responsible AI and data-protection controls for AI applications.
- Build PoCs/MVPs and reusable frameworks/accelerators to validate architectural decisions.
- Work closely with AI engineers and developers and provide hands-on technical guidance and code-level direction.




- Conduct architecture/design reviews and challenge technical decisions where required.
- Mentor engineers on AI engineering, system design and productionization.

Must-Have Skills
- 12+ years of software engineering / architecture experience.
- Strong hands-on experience in Generative AI / LLM application development.
- Proven experience as an AI Architect / Solution Architect / Technical Architect, not only delivery leadership.
- Solid Python development experience.
- Deep understanding of:
- LLMs
- RAG
- Embeddings
- Vector databases
- Prompt engineering
- Agentic AI
- Agent orchestration
- Tool calling
- AI evaluation
- Hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI or equivalent.
- Strong understanding of system architecture and distributed systems:
- Microservices
- REST APIs
- Event-driven architecture
- Authentication/security
- Scalability
- High availability
- Experience designing production-grade AI applications, not only PoCs or business use-case assessments.
- Experience with AI SDLC / LLMOps, including CI/CD, evaluation, deployment, monitoring and observability.
- Experience integrating AI solutions with enterprise systems and data platforms.
- Strong understanding of cloud AI services such as Azure OpenAI, AWS Bedrock or GCP Vertex AI.
- Ability to create and explain architecture diagrams, technical design documents and architectural trade-offs.

Strongly Preferred
- Experience building reusable GenAI platforms/frameworks, rather than isolated client use cases.
- Experience with:
- MCP
- Multi-agent architecture
- AI coding agents
- Model gateways
- Guardrails
- LLM evaluation frameworks
- Prompt/version management
- AI observability
- Experience implementing GenAI directly into software development workflows / SDLC.
- Active GitHub or demonstrable personal/project work showing actual architecture and implementation depth.
- Experience taking AI solutions from PoC → MVP → production.
- Experience with enterprise security, governance and Responsible AI.

📌 Senior GenAI (Hyderabad)
🏢 Adroit India
📍 Hyderabad