AI Solution Architect

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
• 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.