Systems Integration Advisor

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 withGenAI (LLMs, RAG, embeddings, prompt engineering)

• Experience withtraditional 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 withGenAI (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.