AI Architect - GenAI & Agentic Systems

IQVIA; Ernakulam; On-site; INR 3,800,000 - 6,200,000; Full time

Job summary

IQVIA is hiring an AI Architect/Lead (Grade 140) to design, build, and deploy automation and Generative AI solutions from prototype to production. You will develop agentic systems using LLMs, RAG pipelines, and multi-agent orchestration on Azure or AWS, with strong post‑deployment monitoring and cost awareness.

You will collaborate with cross-functional teams to drive platform capabilities, implement CI/CD, and ensure observability and safe rollout across services.

Qualifications

• Architect end-to-end AI and automation solutions on cloud-native platforms.
• Lead design, prototyping, and production deployment of GenAI systems.
• Implement robust monitoring, observability, and cost controls.

Responsibilities

• Architect end-to-end AI and automation solutions on cloud-native platforms, from design through production.
• Build agentic systems: LLMs, RAG pipelines, multi-agent orchestration with LangChain/LangGraph/MCP.
• Develop safe, scalable CI/CD pipelines with secure rollout and rollback.

Skills

Python

Azure/AWS

Backend services

CI/CD

LangChain

LLM

Observability

Debugging/Testing

Tools

LangGraph

MCP

A2A

LangSmith

OpenTelemetry

Job description

Drive Innovation in GenAI and Automation

Role Overview

We are looking for an AI Architect/Lead (Grade 140) to design, build, and deploy automation and Generative AI solutions end to end, from architecture and prototypes to production systems with strong post-deployment monitoring. You will work with cross-functional teams to drive agentification and shape platform capabilities used across the organization.

Key Responsibilities

• Architect end-to-end AI and automation solutions on cloud-native platforms, from design through production.
• Build agentic systems: LLMs and other Generative AI models (diffusion, audio/video), RAG pipelines, and multi-agent orchestration with frameworks such as LangChain, LangGraph, and MCP.
• Build agent harnesses: tool orchestration, memory, verification loops, and guardrails such as permissions, sandboxing, and human approval for risky actions.
• Develop automation frameworks, and apply prompt and context engineering (retrieval, memory, context compaction) to improve accuracy, grounding, and relevance.
• Deploy through scalable CI/CD pipelines on Azure and/or AWS, with safe rollout and rollback.
• Monitor after release, with observability for traces, logs, latency, errors, token usage, and cost.
• Measure and improve through evaluation-driven development: quality and agent metrics, task suites, LLM-as-judge, regression tests on every prompt, model, or tool change, and benchmarking of cloud AI services.
• Partner with engineering, product, and business stakeholders on prototypes and demos, and drive adoption.

What We’re Looking For

Core Technical Skills

• Strong proficiency in Python and hands-on development experience.
• Hands-on experience with Azure and/or AWS.
• Experience building backend services and APIs, with automated tests around them.
• Experience with CI/CD and safe rollout of services, including secrets management, identity, and environment promotion.

Generative AI & Advanced Capabilities

• Practical experience with Generative AI, including LLM-based systems.
• Strong understanding of RAG architectures, embeddings, vector databases, and grounding strategies.
• Experience with LangChain, LangGraph, or similar GenAI orchestration frameworks.
• Experience with AI agents, multi-agent systems, and protocols such as MCP and A2A.
• Experience with LLM and agent observability and evaluation (LangSmith, OpenTelemetry, or similar): quality metrics, agent metrics, traces, cost, and latency.
• Understanding of agent failure modes and defences: hallucination, prompt injection, and context rot.

Nice-to-have skills

• Solid understanding of SQL and data handling for analytics or AI workflows.
• Hands-on experience deploying LLM and agent services on Azure OpenAI or a comparable platform, including structured outputs and versioned prompts or models.
• Hands-on experience with multi-modal AI (speech, transcription, synthesis, or related domains).
• Prompt or program optimisation (e.g. DSPy) and LLM fine-tuning (LoRA, SFT).
• Experience with computer-use or voice agents.

Mindset & Ways of Working

• Strong problem-solving skills and a builder mindset.
• Curious, self-driven learner who actively explores and applies new AI frameworks and tools.
• Ability to work independently while delivering high-impact, production-ready solutions.
• Clear communicator, able to explain technical concepts, demonstrate solutions, and articulate trade-offs effectively.

Why Join Us?

• Work on impactful, real-world GenAI and automation challenges.
• Build agentic and automation-driven solutions.
• Influence platform-level capabilities used by multiple teams.
• Enjoy high ownership, fast-paced learning, and exposure to emerging AI technologies.
• Opportunity to shape the future of agent-based AI systems in an enterprise environment.
• Run what you build in production, with ownership of deployment, observability, and quality and agent metrics.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.