AI Solution Architect

1 Month ago • 7-12 Years • Devops

Job Summary

Job Description

Design expert responsible for creating end-to-end solution architectures that integrate agentic AI with enterprise systems and complex business processes. This role involves leading the conceptualization, design, and implementation of advanced AI-driven systems that interact autonomously across multiple functions and platforms within an enterprise setting. The architect will bridge business needs with technical execution, ensuring scalable, secure, and high-performing solutions.
Must have:
  • Design enterprise-grade agentic AI solutions.
  • Create integration strategies with existing systems.
  • Define multi-agent communication patterns.
  • Establish security and governance models.
  • Conduct technology assessments and recommendations.
  • Create technical documentation and standards.
  • Support pre-sales and client technical engagements.
Perks:
  • relocation benefits

Job Details

Design expert responsible for creating end-to-end solution architectures that integrate agentic AI with enterprise systems and complex business processes.

This role involves leading the conceptualization, design, and implementation of advanced AI-driven systems that interact autonomously across multiple functions and platforms within an enterprise setting. The architect will bridge business needs with technical execution, ensuring scalable, secure, and high-performing solutions.

Key Responsibilities

  • Design enterprise-grade agentic AI solutions

Develop AI systems that can act autonomously (agentic), make decisions, and execute complex tasks across enterprise applications. These solutions should handle dynamic workflows, contextual awareness, and decision-making capabilities.

  • Create integration strategies with existing systems

Plan and architect seamless integration with legacy systems, ERPs, CRMs, databases, APIs, and modern platforms to ensure smooth data and workflow orchestration.

  • Define multi-agent communication patterns

Establish the protocols, logic, and infrastructure for multiple AI agents to collaborate, coordinate, and share context efficiently and securely across systems.

  • Establish security and governance models

Implement architectural principles to enforce enterprise-grade security, compliance, data privacy, role-based access, and auditability throughout the AI lifecycle.

  • Conduct technology assessments and recommendations

Evaluate emerging technologies and platforms in the agentic AI and integration space. Provide strategic recommendations that align with business goals and technology trends.

  • Create technical documentation and standards

Produce detailed architecture blueprints, solution documentation, data flow diagrams, and standard operating procedures to ensure alignment across engineering and business teams.

  • Support pre-sales and client technical engagements

Collaborate with sales and solutioning teams to present technical architectures, answer client queries, and customize solutions to client needs during RFPs, PoCs, and workshops.

Technical Skills Required

  • Expert knowledge of enterprise integration patterns

In-depth understanding of synchronous/asynchronous messaging, service buses, event-driven architecture, and orchestration/mediation patterns.

  • LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel

Hands-on experience designing and implementing solutions using agentic frameworks that allow for multi-agent coordination and reasoning.

  • Vector databases and RAG architectures

Proficiency in working with vector stores (e.g., Pinecone, FAISS) and Retrieval-Augmented Generation (RAG) models for contextual grounding of LLMs.

  • Cloud platforms and hybrid system design

Experience designing AI systems on cloud platforms (Azure, AWS, GCP) with capabilities for hybrid deployments across on-prem and cloud environments.

  • Architectural frameworks (TOGAF preferred)

Ability to align solution architecture with business and enterprise architecture using methodologies such as TOGAF or similar standards.

  • API design and microservices patterns

Strong knowledge in designing RESTful, GraphQL, and gRPC APIs, and applying microservices architecture principles for scalability and modularity.

  • Security architecture and compliance requirements

Understanding of enterprise-grade security requirements, including encryption, identity and access management (IAM), SOC2/GDPR compliance, and secure AI pipeline design.

Experience Level

  • 7–12 years solution architecture

Proven experience architecting large-scale technology solutions, preferably in complex enterprise environments across various industries.

  • 3+ years AI/ML systems

Hands-on experience in designing, deploying, and scaling AI/ML models, with a focus on agent-based systems or LLM orchestration.

  • Enterprise experience required

Experience working within enterprise IT environments involving cross-functional teams, regulatory constraints, and large-scale data systems.

Success Metrics

  • Design 10+ enterprise solutions annually

Consistently deliver high-quality, scalable architectures for at least 10 major enterprise initiatives or clients per year.

  • Achieve 95% client satisfaction

Maintain strong client relationships with measurable satisfaction scores and successful delivery feedback.

  • Reduce integration complexity by 50%

Streamline system integrations using reusable modules and standardized patterns to simplify architecture and lower maintenance costs.

  • Create reusable architectural components

Build libraries, templates, and design artifacts that can be reused across projects to improve time-to-delivery and consistency.

  • Support revenue generation through excellence

Contribute to business growth by enabling faster solution cycles, supporting deal closures through architecture leadership, and aligning designs with client value outcomes.

Our Hogarth Values:

Hands on

No egos here. Just a shared drive to roll up our sleeves and make great things happen. Every project--big or small, gets our full energy because we believe in doing things right. Every single time. It's how we deliver real results without cutting corners.

Honesty

We are real and authentic – with each other and in our work. Honest, direct communication builds the trust we need to collaborate, grow, and make meaningful things together. It’s not always easy but it’s always worth it.

Heart & Soul

We bring heart to everything we make. Passion, pride and relentless drive push us beyond “good enough” ––because we care deeply about our craft, and we’re always chasing better. We love what we do, and it shows.

Happy Family

Creating a space where everyone feels valued--even when opinions differ, makes this a supportive and inclusive environment for our people. We embrace our differences, celebrate our wins together, and never lose our sense of humor.

Hungry

Curiosity keeps us hungry. We question, experiment, and always seek out what's next. We never settle, and we never stop learning.

Inclusion and Impact

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please contact careers@hogarth.com if you need the job advert or form in another format.

Data

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When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to Hogarth WW. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

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