Senior AI Architect

Company Description

Nidus Technologies is a trusted IT services and consulting company, dedicated to driving digital transformation and innovation. We specialize in developing cutting-edge, industry-specific technological solutions tailored to our clients' unique needs. With a team of experienced technology experts, our mission is to equip businesses for the future with strategic planning, advanced technologies, and operational excellence. At Nidus Technologies, we are committed to delivering measurable results and empowering organizations to excel in a rapidly evolving digital landscape.

Role Description

This is a full-time hybrid role for a Senior AI Architect, located in Gurugram with the flexibility to work remotely part of the time. The Senior AI Architect will design scalable AI architectures, develop software systems, and lead integration efforts across various platforms. The role involves collaborating with cross-functional teams to create innovative AI-driven solutions, overseeing architectural design processes, and managing complex AI projects to successful completion.

The Senior AI Architect provides technical leadership for enterprise AI initiatives, designing scalable architectures across traditional ML, NLP, GenAI, RAG, and multi agent systems. The role requires deep healthcare domain understanding and experience building production grade AI systems at scale.

Key Responsibilities

Architecture & Design

• Define end to end architecture for AI/ML and GenAI systems.

• Design retrieval augmented generation (RAG) pipelines, vector database strategies, and LLM orchestration flows.

• Architect multi agent workflows, tool calling agents, and reasoning chains.

• Translate complex healthcare requirements into scalable, secure AI solutions.

Data & Pipeline Engineering

• Architect event driven and incremental data pipelines for structured and unstructured healthcare data.

• Oversee embedding generation, feature pipelines, data quality checks, and governance.

MLOps & LLMOps

• Establish CI/CD pipelines for ML/LLM workloads.

• Implement monitoring, evaluation, guardrails, lineage, and rollback strategies.

• Ensure secure deployment across cloud platforms (AWS/Azure/GCP).

Leadership & Collaboration

• Lead engineering teams; provide architectural direction and unblock developers.

• Partner with product, business, and clinical SMEs to align solutions with objectives.

• Communicate architecture decisions clearly to technical and non technical stakeholders.

Compliance & Responsible AI

• Ensure adherence to privacy, security, and regulatory standards (HIPAA, PHI/PII).

• Apply responsible AI principles, model guardrails, and safe deployment practices.

Required Qualifications

• 10–18+ years total experience, including 5+ years as an AI/ML Architect.

• Strong expertise in LLMs, GenAI, RAG pipelines, embeddings, and vector databases.

• Hands on experience with ML frameworks (PyTorch/TensorFlow) and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).

• Cloud architecture experience across AWS, Azure, or GCP.

• Deep understanding of healthcare data (claims, EDI, clinical documents, payer/provider workflows).

• Excellent communication with executives and technical teams.

• Ability to simplify and clearly represent complex AI systems.

• Strong leadership in fast paced, agile delivery environments.

Preferred Qualifications

• Experience with multi agent systems, high volume document AI, and long context architectures.

• Strong background integrating ML, NLP, and LLM systems into production applications.