Artificial Intelligence Architect

Conduent; Dadri, Hyderabad, Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Conduent in India seeks an accomplished Lead Architect to design and implement analytics, AI, and GenAI platforms at scale. You will define reference architectures, guardrails, and governance to ensure secure, observable, and compliant deployments across cloud-native environments.

The role requires hands-on Azure experience, 15+ years in the industry, and a proven track record delivering GenAI solutions into production.

Qualifications

• 15+ years of industry experience with at least 5 years as lead architect.
• Hands-on Azure experience required and production GenAI deployments.
• Experience delivering GenAI solutions into production environments with enterprise AI architectures, prompt and RAG patterns, and lifecycle management.

Responsibilities

• Lead hands-on design and development of analytics, AI, and GenAI platforms.
• Establish reference architectures, patterns, standards, and guardrails.
• Govern GenAI capabilities including RAG, agentic AI, multi-agent orchestration, and knowledge management.
• Define Responsible AI, security, privacy, observability, model lifecycle management.
• Lead decisions across cloud-native apps, APIs, data platforms, containers, and DevOps.
• Champion AI architecture strategy across data, model, and cloud layers.
• Mentor engineers and drive engineering best practices.
• Support architecture reviews and governance alignment.

Skills

Azure

GenAI architecture

Cloud-native analytics

Architectural leadership

Job description

Responsibilities:

• Lead hands-on design and development of analytics, AI, and GenAI platforms, solutions, and services.
• Establish reusable reference architectures, design patterns, standards, and architectural guardrails.
• Support design and governance of enterprise GenAI capabilities including RAG, Agentic AI, multi-agent orchestration, prompt frameworks, knowledge management, and evaluation frameworks.
• Define Responsible AI, security, privacy, observability, model lifecycle management, and operational governance controls.
• Lead architecture, design, and implementation decisions across cloud-native applications, APIs, integrations, data platforms, containers, and DevOps pipelines.
• Champion AI architecture strategy across data, model, application, and cloud infrastructure layers, including Generative AI, AI/ML platforms, model governance, responsible AI, security, observability, and scalable production deployment patterns.
• Provide architecture leadership across multiple concurrent initiatives and work with delivery teams through implementation and production deployment.
• Support solution sizing, proposals, client discussions, and technology modernization initiatives.
• Mentor engineers, technical leads, and architects while driving adoption of engineering best practices and development standards.
• Design and implement products and platforms that comply with the standards and best practices across multiple businesses & domains. Support architecture reviews & alignment with enterprise architecture and governance standards.
• Drive the design, sizing, setup, and optimization of cloud environments and related services.
• Advise on emerging technology trends and recommend adoption opportunities to maintain competitive advantage.

Experience Needed:

• 15+ years of industry experience, including at least 5 years of experience as lead architect designing and building cloud-native analytics and AI / GenAI solutions. Hands-on Azure experience is required.
• Hands-on experience delivering GenAI solutions into production environments including designing and governing enterprise AI architectures, prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applicationsRole & responsibilities

Preferred candidate profile