Ai/ Ml Architect

**AI Architect**

**Type**:Full-Time**

**Mostly Remote (Some Travel to Bangalore)**

**About the Role**

We are seeking an **AI hands-on Professional (Architect level)**who’s ready to redefine how software is built — someone fluent in AI-assisted development, modern architectures, and system-level thinking. This is not a traditional developer role. You’ll be shaping the next generation of intelligent software systems: architecting, experimenting, and deploying solutions where **AI is a first-class engineering partner**, not an afterthought.

If you’re as fluent with GitHub Copilot, ChatGPT, Claude, Cursor, Sourcegraph Cody, JetBrains AI Assistant, CodeSee/AppMap for code maps, Mermaid/PlantUML/Structurizr/Lucidchart/diagrams.net for flows & architecture, Figma/FigJam (plus Jira or Linear/Notion for delivery), and LangChain/LlamaIndex/Hugging Face or Vercel AI SDK—with deployment across Azure OpenAI / AWS Bedrock / Vertex AI—as a developer is with their IDE, you’ll feel at home here

**Key Responsibilities**

**AI-Native Development**: Build production-ready systems that embed AI into the core engineering process — from scaffolding and code generation to validation and deployment.

**Agentic Engineering**: Design and orchestrate **multi-agent workflows** for code generation, refactoring, reverse engineering, documentation, and test automation.

**System Transformation**: Modernize legacy or monolithic systems using iterative, AI-assisted strategies (e.g., the strangler pattern), enabling modular, service-based architectures.

**End-to-End Ownership**: Architect, implement, and deploy scalable microservices, APIs, and pipelines, balancing velocity with reliability.

**Architecture & Visualization**: Use tools like Mermaid, PlantUML, Structurizr, and diagrams.net to visualize flows, dependencies, and system evolution.

**Collaboration**: Partner closely with SMEs, data scientists, and product stakeholders to translate business and research needs into elegant, intelligent software.

**Required Experience**
- Hands-on experience with **LLM frameworks** such as LangChain, LlamaIndex, Haystack, or Semantic Kernel.
- Strong familiarity with **cloud AI platforms** (Azure OpenAI, AWS Bedrock, Vertex AI) and deployment best practices.
- Demonstrated skill with **Python**, **TypeScript**, or **Go** for API-driven development and automation.
- Proven experience with enterprise.net engineering with microservice architecture
- Experience with **v**ector databases, retrieval-augmented generation (RAG), and prompt engineering.
- Comfort designing and documenting systems with **architecture-as-code** tools (Mermaid, Structurizr, Lucidchart).

**Agentic AI Expertise**
- Deep experience using AI tools as **co-developers** in live workflows.
- Ability to orchestrate **multi-tool chains** that blend reasoning, retrieval, and code generation.
- Experience using AI for **reverse engineering**, **code comprehension**, and **automated testing**.
- Familiarity with **AI observability**, **prompt evaluation**, and **model orchestration pipelines**.

**What We’re Looking For**
- **AI-Native Mindset**: You build _with_ AI, not just _around_ it.
- **Architect-Thinker**: You see software as a system of evolving components, not static code.
- **Builder-Founder Energy**: You thrive in autonomy, ambiguity, and impact.
- **Curious & Adaptive**: You experiment fast and iterate even faster.
- **Collaborative by Design**: You share context, communicate clearly, and design for sustainability.

**Why This Role?**

This is an opportunity to join a global organization at a pivotal stage of transformation. You’ll work with an elite group of technologists and create real business impact for the client. If you’ve ever wanted to think like a CTO while building like a swarm of engineers, this is the role for you.

**Job Types**: Full-time, Permanent

Pay: ₹6,000,000.00 - ₹7,500,000.00 per year

**Benefits**:

- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home

Work Location: Remote