AI Solutions Architect
AI Solutions Architect
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Job Description
Hogarth is the Global Content Experience Company. Part of WPP Hogarth partners with one in every two of the worlds top 100 brands including Coca-Cola Ford Rolex Nestl Mondelez and Dyson. With a breadth of experience across an extensive range of sectors Hogarth offers the unrivaled ability to deliver relevant engaging and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation all mean that brands need different solutions. Our global team of over 7500 craft and technology experts brings together creative production and innovation to help clients navigate this exciting and ever-changing world of todays content experience.
WPP is the creative transformation company. We use the power of creativity to build better futures for our people planet clients and communities. Working at WPP means being part of a global network of more than 100000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries with corporate headquarters in New York London and Singapore. WPP is a world leader in marketing services with deep AI data and technology capabilities global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world including approximately 300 of the Fortune Global people are the key to our success. Were committed to fostering a culture of creativity belonging and continuous learning attracting and developing the brightest talent and providing exciting career opportunities that help our people grow.
Title: AI Solution Architect
Company: Hogarth Worldwide Chennai (A WPP Company)
Location: DLF Chennai
Type: Permanent
Compensation: Attractive package relocation benefits
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.
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
712 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.
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.
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Employment Type
Full Time
