Expert

AXA Global Business Services Pvt. Ltd.; Pune District; On-site; INR 350,000 - 900,000; Full time

Job summary

AXA Global Business Services Pvt. Ltd. in Pune seeks an AI Architect to design and implement enterprise GenAI and Agentic AI solutions. You will define AI architecture strategies and build scalable Azure-based platforms to enable AI-driven business transformation.

You will supervise architecture governance, mentor AI teams, and partner with security, data and business teams to deliver high-impact AI use cases across AXA.

Qualifications

• 12+ years hands-on experience in AI engineering projects with emphasis on GenAI and Agentic AI architectures.
• Experience with Cloud, preferably Azure tools and services tailored for LLM ops.
• Proven track record delivering AI solutions from strategy to production adoption.

Responsibilities

• Lead the architecture and design of AI-powered solutions including Copilots and agentic systems.
• Design GenAI architectures leveraging LLMs, RAG, vector databases, and orchestration platforms.
• Define AI reference architectures and reusable frameworks for enterprise adoption.
• Collaborate with security, data, and engineering teams to enable MLOps and governance.
• Provide technical leadership and mentorship to AI engineering teams.

Skills

AI Architecture

GenAI Architectures

LLMOps

Cloud-native

APIfirst design

Security governance

Mentorship

Stakeholder collaboration

Tools

Azure

Databricks

Microsoft 365

SharePoint

Salesforce

Guidewire

ServiceNow

Workday

Job description

Job Description

JOB DESCRIPTION

Date: 14/07/2026

Job Title: AI Architect

Join us as a AI Architect within the AI Engineering Division of DAAS (Data, AI & Analytics Services), The role focuses on the design and implementation of enterprise-scale AI, GenAI, and Agentic AI solutions. The role will be responsible for defining AI architecture strategies, designing scalable cloud-native AI platforms on Azure, and enabling AI-powered business transformation across the organization.

Technical Skills:

Expertise is required in the following fields:

• Lead the architecture and design of AI-powered solutions, including Copilots, Intelligent Assistants, Agentic AI systems, AI-enabled workflows, and business automation platforms.
• Design scalable GenAI application architectures leveraging LLMs, Retrieval-Augmented Generation (RAG), agent frameworks, vector databases, and orchestration platforms.
• Establish AI reference architectures, design standards, reusable frameworks, and best practices for enterprise-wide AI adoption.
• Good understanding of AI Gov Ops and AI Observability market landscape (such as solutions,frameworksand libraries) and architectural approaches to implementation of preventative,detectiveand corrective AI risk controls.
• Partner with engineering teams to implementLLMOps, model lifecycle management, AI observability, evaluation frameworks, and deployment automation.
• Drive API-first, event-driven, and cloud-native architectural patterns to support AI solution scalability and interoperability.
• Provide technical leadership, architecture governance, and mentorship to AI engineering and solution delivery teams.
• Collaborate closely with business, security, engineering, and data teams to identify, assess, and deliver high-value AI use cases.

What You will be Doing

• Leading the design of enterprise solutions that embed LLMs, GenAI, and agentic automation into business workflows.
• Ability to liaise with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc.
• Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful patterns
• Partnering with security, platform and engineering teams to enableLLMOpsandAgenticOpscapabilities – prompt lifecycle management, model observability, caching, evaluation and governance.
• Contributing to the growth of an AI-ready architecture practice within AXA, including knowledge sharing and reference implementation development
• Collaborating with business teams to identify and shape use cases for AI-powered automation, intelligent summarisation, triage, classification, and advisory systems
• Supporting integration with messaging systems, event-driven architectures, and API ecosystems as part of AI solution delivery
• Defining and evolving the enterprise GenAI and broader AI architecture roadmap aligned with AXA’s data and digital strategy.
• Leading the architectural design of an enterprise AI Trust and Controls layer to manage AI Trust risks, such as Data risks (e.g. toxicity, sensitive data leakage), Prompting risks (e.g. prompt injection, jail breaking), Application and Security risks (e.g. insecure output handling, poisoned model usage), etc.
• Innovating and reimagining business processes to take competitive advantage via the use of AI.

Soft Skills:

• Excellent communication skills to facilitate collaboration between business stakeholders and technical teams.
• Strong analytical and problem-solving skills, with a focus on optimizing ML workflows.
• Ability to work effectively in a global, multidisciplinary team environment.
• Autonomy and innovation capability to advance MLOps practices within the organization.

Background and Experience:

• 12+years of hands-on experienceonAI Engineeringprojectswith aparticularemphasisonleadingarchitectural designofenterprise-scale GenAI and Agentic AI based solutions.
• Experiencewith Cloud, preferablyAzure tools and services specifically tailoredforLLMOps.
• Track record of delivering AI solutions from strategy through implementation and production adoption.