AI Engineer, Smart Claims

Amplify Health

Gurugram District

On-site

INR 3,500,000 - 6,000,000

Full time

14 days+

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Benefits offered by this job

AI learning stipend

Health insurance

Job summary

Amplify Health is seeking an AI Engineer to design, develop, deploy, and optimize AI-powered solutions leveraging LLMs and enterprise AI services. You will build production-grade AI applications, implement RAG architectures, and integrate AI into business workflows with security in mind.

You will collaborate with product, engineering, business, and data teams to deliver scalable, secure, and high-impact AI solutions.

Qualifications

Over 5+ years of software engineering, cloud engineering, data engineering, or AI development with at least 2+ years in AI/GenAI.
Proven experience with OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, or similar foundation models.
Hands-on with Azure Document Intelligence, OCR and intelligent document processing.
Experience with RAG architectures, vector databases, embeddings, and semantic search.
Strong Python development, REST APIs, and cloud-native apps.

Responsibilities

Design, develop, and deploy AI apps using leading foundation models.
Build RAG solutions with vector DBs, embeddings, and semantic search.
Develop AI agents, copilots, chatbots, and workflow automation.
Create APIs, microservices, and cloud-native architectures.
Ensure data security, governance, and high-quality model outputs.

Skills

Python

REST APIs

Cloud engineering

AI/GenAI

LangChain

Semantic Kernel

RAG

DevOps/MLOps

CI/CD

Security & Governance

Education

Bachelor's degree in Engineering/CS/AI/Data Science

Tools

Azure OpenAI

OpenAI

Google Gemini

Azure Document Intelligence

OCR

Pinecone

Weaviate

ChromaDB

Azure AI Search

Kubernetes

Job description

Amplify Health Asia Pte. Limited (Amplify Health) is a pan-Asian health technology and analytics company which brings together health technology assets, proprietary data analytics and healthcare expertise to support innovation across the healthcare value chain.

Headquartered in Singapore, Amplify Health operates in 10 markets across the region: Australia, Hong Kong, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore, Thailand and Vietnam.

Amplify Health develops integrated solutions that empower healthcare payors, providers and policymakers across Asia to identify value and drive new partnerships, understand variation and address systemic inefficiencies—with the aim of improving outcomes for individuals and the sustainability of health systems.

Powered by a clinically enriched data foundation, Amplify Health’s health intelligence platform combines modular AI solutions, context-aware automation and deep regional insights to offer localised, AI-powered health solutions spanning health payment integrity to chronic disease management. The company’s technology has earned recognition at several industry competitions, including the Celent Model Insurer Awards, ITC Asia Awards and SBR Technology Excellence Awards.

As an ISO27001 certified organisation, Amplify Health maintains clearly defined policies, structured oversight mechanisms and ongoing risk assessments that ensure alignment with global best practices on enterprise data security

The Position

Summary

The AI Engineer will design, develop, deploy, and optimize AI-powered solutions leveraging Large Language Models (LLMs) and enterprise AI services including OpenAI, Azure OpenAI, Google Gemini, Azure Document Intelligence, AI Search, vector databases, and intelligent automation platforms. The role is responsible for building production-grade AI applications, implementing RAG (Retrieval-Augmented Generation) architectures, integrating AI services into business workflows, ensuring security and governance, and driving innovation through emerging AI technologies.

The successful candidate will work closely with product, engineering, business, and data teams to deliver scalable, secure, and high-impact AI solutions.

Responsibilities

1) Design and Develop AI & Generative AI Solutions

Design, develop, and deploy AI applications using OpenAI, Azure OpenAI, Gemini, and other foundation models.
Build RAG solutions using vector databases, embeddings, semantic search, and knowledge management platforms.
Develop AI agents, copilots, chatbots, and workflow automation solutions.
Engineer prompts, evaluation frameworks, and AI orchestration pipelines to improve model performance and reliability.
Create APIs, microservices, and cloud-native architectures supporting enterprise AI use cases.
Develop document processing solutions using Azure Document Intelligence, OCR technologies, and other AI services.
Extract, classify, validate, and transform structured and unstructured data from documents.
Integrate AI services such as speech, vision, language understanding, translation, and content moderation into business applications.
Design data pipelines to support AI training, retrieval, and analytics workloads.
Ensure high-quality data processing and model outputs through robust validation frameworks.

3) AI Platform Engineering, Security & Governance

Design scalable AI architectures on Azure and multi-cloud environments.
Implement AI security, responsible AI practices, governance, compliance, and data privacy requirements.
Monitor model performance, cost optimization, latency, hallucination mitigation, and solution reliability.
Build CI/CD pipelines, MLOps/LLMOps practices, model deployment automation, and observability frameworks.
Establish best practices for AI solution lifecycle management and enterprise adoption.

4) Innovation, Stakeholder Collaboration & Enablement

Partner with business stakeholders to identify and prioritize AI opportunities.
Provide technical leadership and recommendations on AI strategy, tooling, and emerging technologies.
Conduct proof-of-concepts (POCs), pilots, and production implementations for AI initiatives.
Stay current with advancements in GenAI, multimodal AI, AI agents, LLM frameworks, and industry trends

Candidate Profile

Experience and Qualifications

Over 5+ years of software engineering, cloud engineering, data engineering, or AI development experience, with at least 2+ years focused on AI/GenAI solutions.
Demonstrated success in delivering enterprise-scale AI, machine learning, intelligent automation, or data-driven solutions.
Proven experience with OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, or similar foundation models.
Hands-on experience with Azure Document Intelligence, OCR solutions, and intelligent document processing platforms.
Experience implementing RAG architectures, vector databases (Azure AI Search, Pinecone, Weaviate, ChromaDB, etc.), embeddings, and semantic search.
Strong development experience in Python, REST APIs, SDK integration, and cloud-native application development.
Experience with Azure services such as Azure AI Foundry, Azure AI Search, Functions, App Services, Container Apps, Kubernetes, Storage, and Key Vault.
Knowledge of ML/LLM frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or similar.
Experience with DevOps/MLOps/LLMOps practices, GitHub, CI/CD, monitoring, and cloud security.
Understanding of Responsible AI, model evaluation, governance, privacy, and compliance requirements.
Bachelor’s degree in Engineering, Technology, Computer Science, Artificial Intelligence, Data Science. or related field required.

Competencies & Core Characteristics:

We are seeking a professional who embodies the following competencies and characteristics essential for success in our scale-up environment:

Technical Domain Expertise: Possesses deep expertise across Generative AI, LLMs, AI agents, intelligent document processing, cloud AI services, and modern software engineering practices. Maintains current knowledge of rapidly evolving AI technologies and translates them into business value.
Strategic Architect: Able to design scalable, secure, and future-ready AI solutions aligned with business objectives. Balances innovation with practical implementation considerations including cost, performance, governance, and maintainability.
Unifier & Cross-Functional Influencer: Collaborates effectively across engineering, product, business, security, and operations teams. Influences stakeholders through technical credibility and communicates complex AI concepts in a clear and actionable manner.
Data-Driven Decisiveness: Uses quantitative metrics, experimentation, evaluations, and operational insights to guide decisions. Continuously measures AI solution effectiveness and drives improvements based on data and business outcomes.
Customer-Obsessed Advocate: Maintains a strong focus on delivering meaningful customer and business impact. Designs AI solutions that improve user experience, productivity, accuracy, and overall value realization.
Resilient Operator: Thrives in rapidly evolving technology environments and adapts quickly to changing priorities. Demonstrates ownership, accountability, persistence in solving complex technical challenges.
Insatiable Curiosity: Continuously explores emerging AI trends, tools, models, and research developments. Challenges conventional approaches and actively identifies opportunities for innovation and competitive advantage.