Agentic AI Architect

Coforge; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Coforge is seeking an Agentic Architect to design enterprise-scale AI products and agentic systems, integrating models, data, workflows, platforms, and governance into secure, reusable solutions.

You will lead multiple engineering teams, translate strategy into target architectures and roadmaps, and collaborate with product, delivery, platform, governance, and enterprise architecture leaders to drive scalable, cost-conscious delivery.

Qualifications

• Bachelor’s or master’s degree in a relevant technical discipline.
• 10–14 years in architecture, engineering, data, or platform roles.
• Experience architecting production AI, digital, or cloud platforms at enterprise scale.
• Experience influencing senior technology and business stakeholders.

Responsibilities

• Define end-to-end architecture for enterprise AI products and agentic platforms.
• Translate product strategy and domain needs into target architecture, roadmaps, and reusable patterns.
• Select models, orchestration approaches, data patterns, integration methods, and deployment topology.
• Design security, privacy, identity, auditability, resilience, and human-oversight controls.
• Guide multiple engineering teams and review critical technical decisions.
• Partner with product, delivery, platform, governance, and enterprise architecture leaders.
• Assess technology options, technical debt, scalability, cost, and vendor dependencies.

Skills

Enterprise architecture

Generative AI & agentic systems

Cloud-native platforms & APIs

Identity, security & governance

Education

Bachelor’s or Master’s degree in a relevant technical discipline

Job description

We at Coforge are hiring for Agentic Architect with the following skillset

Role Purpose

Design enterprise-scale AI products and agentic systems that combine models, data, workflows, platforms, and governance into secure, reusable, and commercially viable solutions.

Key Responsibilities

• Define end-to-end architecture for enterprise AI products and agentic platforms.
• Translate product strategy and domain needs into target architecture, roadmaps, and reusable patterns.
• Select models, orchestration approaches, data patterns, integration methods, and deployment topology.
• Design security, privacy, identity, auditability, resilience, and human-oversight controls.
• Guide multiple engineering teams and review critical technical decisions.
• Partner with product, delivery, platform, governance, and enterprise architecture leaders.
• Assess technology options, technical debt, scalability, cost, and vendor dependencies.

Required Skills

• Enterprise and solution architecture
• Generative AI, agentic systems, RAG, knowledge architecture, and model strategy
• Cloud-native platforms, APIs, event-driven integration, and data architecture
• Identity, security, privacy, governance, and responsible AI

Qualifications

• Bachelor’s or master’s degree in a relevant technical discipline.
• 10–14 years in architecture, engineering, data, or platform roles.
• Experience architecting production AI, digital, or cloud platforms at enterprise scale.
• Experience influencing senior technology and business stakeholders.
• Strategic thinking
• Commercial and product mindset
• Clear executive communication
• Strong governance and risk judgement

Performance Measures

• Architecture adoption and reuse
• Scalability, reliability, and security outcomes
• Time-to-market and technical-debt reduction