Role: AI Architect
Location: PAN India
Immediate to 30 Days
Key Responsibilities
- Design, develop, and deploy scalable software solutions leveraging modern architectures and cloud platforms.
- Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes.
- Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
- Experience with traditional ML (classification, regression, NLP, time-series)
- Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems.
- Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.
- Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services.
- Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions.
- Ensure data quality, governance, and security across all data workflows.
- Optimize system performance, reliability, and scalability across AI and data components.
Key Skills & Experience
- Strong experience in software development (Python 6+ yrs).
- Hands-on experience with Agentic AI / autonomous agents, including:
- Multi-agent orchestration
- Tool usage & reasoning workflows
- Prompt engineering and memory management
- 2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
- Solid background in data engineering, including:
- Data pipelines, ETL/ELT processes
- Data modeling and warehousing
- Streaming and batch processing
- Experience with cloud platforms (Azure preferred) and services like:
- Azure Data Factory / Synapse / Databricks
- Azure OpenAI / Cognitive Services
- Familiarity with vector databases, embeddings, and RAG architectures.
- Strong understanding of API design, microservices, and distributed systems.
Preferred Qualifications
- Degree: Bachelor's in computer science/IT or equivalent program (4 yrs)
- Experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel).
- Exposure to MLOps / LLMOps practices.
- Experience building enterprise-grade AI copilots or automation solutions.
- Knowledge of data governance and observability frameworks.
What We Expect
- Ability to operate in a fast-paced, client-facing environment.
- Strong problem-solving and ownership mindset.
- Capability to anticipate project needs, especially during client demos and critical delivery windows.