Advanced Specialist, Enterprise Architect - (AI Systems & Distributed Engineering)

Pearson; Chennai District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Pearson is seeking an advanced hands-on Enterprise Architect to bridge strategic governance with deep technical execution, focusing on agentic AI and LLM-driven workflows. The role sits in the Enterprise Architecture team and covers blueprint ownership, standards, and governance across data, integration, and infrastructure.

The ideal candidate has 12–15 years in software engineering and architecture, with experience in AI transformation, EA governance, and large-scale modernization programs.

Qualifications

• 12–15 years of progressive software engineering and solution architecture.
• Proven ability to strategise PoC and create AI-transformation practices.
• Portfolio of large-scale modernization projects and experience with EA governance (ARB, ADR).

Responsibilities

• Own and maintain enterprise architecture blueprint across domains.
• Define reference architectures and reusable patterns for agentic AI.
• Design and govern multi-agent systems and tool-calling interfaces.
• Set standards for grounding, memory, and context management in LLM workflows.
• Establish human-in-the-loop checkpoints and escalation paths.
• Evaluate frameworks for agent orchestration balancing build vs. buy.
• Chair Architecture Review Chapter and define ADR process.
• Maintain ADRs and lightweight governance to avoid blocking delivery.
• Define AI data access boundaries, PII handling, audit logging.
• Maintain enterprise modeling artifacts like capability maps and data flow diagrams.

Skills

LLM architecture

Agent frameworks

Kubernetes

Archimate

TOGAF

Data governance

Data pipelines

Tools

Kubernetes

Archimate

TOGAF

Data mesh

Job description

Job Title: Advance Specialist ,Enterprise Architect

About the role:

Seeking a visionary Enterprise Architect to be part of the Enterprise Architecture team. This is not an "advisory" role — we require a practitioner who balances high-level strategic governance with deep-dive technical execution. The ideal candidate will bridge the gap between traditional distributed and enterprise systems and the emerging frontier of Agentic AI, transforming how the enterprise leverages autonomous agents and LLM-driven workflows.

Experience Level: 12-15 Years Location: Bangalore or Chennai, India Role Type: Hands-on Enterprise Architect

Key Responsibilities

• Architectural Strategy & Blueprint Ownership
• Own and maintain the enterprise architecture blueprint — current-state and target-state views across application, data, integration, and infrastructure layers.
• Define and evangelize reference architectures and reusable patterns for agentic AI systems (agent orchestration, tool-calling, memory/state management, guardrails) so delivery teams don't reinvent foundational patterns per project.
• AI Agent Ecosystems
• Design and govern the architecture for multi-agent systems, including agent-to-agent communication protocols, orchestration frameworks, and tool/function-calling interfaces.
• Define standards for grounding, memory, retrieval, and context management across LLM-driven workflows.
• Establish human-in-the-loop checkpoints and escalation paths for autonomous agents operating on production data or systems.
• Evaluate and select frameworks/platforms for agent orchestration (e.g., orchestration engines, model routing, guardrail layers), balancing build vs. buy.
• Modeling & Governance
• Chair or actively participate in the Architecture Review Chapter; define review cadence, entry/exit criteria, and a clear exception-handling process for teams that need to move fast.
• Own Architecture Decision Records (ADRs) and maintain a lightweight, non-bureaucratic approval workflow so governance catches drift without blocking delivery.
• Define non-negotiable guardrails for AI/agentic systems — data access boundaries, PII handling, human-in-the-loop requirements, and audit logging — that any new agent workflow must pass through review.
• Maintain enterprise modeling artifacts (capability maps, data flow diagrams, integration catalogs) as the single source of truth referenced during reviews.

Required Technical Skills

AI

• Hands-on experience with LLM application architecture: RAG pipelines, agent frameworks, prompt/context engineering, model evaluation and guardrails.
• Familiarity with multi-agent orchestration patterns and tool-use/function-calling architectures.

Cloud & Infrastructure

• Deep experience with at least one major cloud platform (AWS/Azure/GCP), containerization (Kubernetes), and infra-as-code.
• Experience designing for scalability, resilience, and cost efficiency at enterprise scale.

Distributed & Enterprise Systems Integration

• Strong background in distributed systems design (event-driven architecture, microservices, API gateways, messaging systems).
• Experience integrating legacy enterprise systems (ERP, CRM, core platforms) with modern cloud-native and AI-driven components.

Data Architecture

• Experience designing enterprise data architectures — data pipelines, data mesh/data fabric concepts, governance, and lineage.
• Ability to model and maintain the data-flow view that underpins the enterprise digital twin.

Modeling & Governance Tooling

• Practical experience with architecture modeling notations/tools (e.g., ArchiMate, C4 model, TOGAF-aligned frameworks) and running formal EA review processes.

Qualifications

• 12 - 15 years of progressive experience in software engineering and solution architecture.
• Demonstrated ability to strategise and develop PoC and add create practices around it.
• A portfolio of successful large-scale modernization or AI-transformation projects, ideally including experience participating in an EA governance process (ARB, ADRs) from scratch or maturing an existing one.
• Prior experience building or working with an enterprise digital twin or equivalent simulation/dependency-modeling capability is a strong plus.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [e-mail].

Job: Architecture

Job Family: TECHNOLOGY

Organization: OCTO

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 25834