Agentics Solution Architect Manager

Responsibilities

• Leadership & Team Management
• Direct, support, and grow a team of Solution Architects.
• Establish architectural standards, guidelines, and review processes.
• Partner with engineering, product, and data leadership to align architecture strategy with business objectives.
• Drive high-quality technical build reviews and decision-making forums.
• Agentic Architecture Strategy
• Define the enterprise architecture vision for agentic AI systems.
• Build multi-agent orchestration patterns, planning frameworks, and tool-use architectures.
• Establish guardrails for responsible AI, safety, governance, and observability.
• Assess and implement emerging AI agent frameworks and technologies.
• Solution Architecture & Delivery
• Architect end-to-end solutions integrating LLMs, vector databases, APIs, data platforms, and enterprise systems.
• Ensure scalability, resilience, performance, and cost-efficiency of AI solutions.
• Lead technical discovery, define solution blueprints, and guide implementation teams.
• Drive architectural alignment across cross-functional initiatives.
• Collaborator Engagement
• Translate complex technical concepts into clear business value narratives.
• Influence senior leadership on AI strategy and investment decisions.
• Partner with product teams to build AI-powered customer experiences.
• Governance & Risk Management
• Implement security, compliance, and ethical AI controls.
• Define monitoring, feedback loops, and evaluation frameworks for agent performance.
• Mitigate operational and business risks associated with autonomous systems.

Requirements

• Required
• 8+ years of experience in software architecture or solution architecture.
• 3+ years of people management experience.
• Hands-on experience crafting AI/ML or LLM-based systems.
• Deep knowledge of cloud-native architecture (AWS, Azure, or GCP).
• Strong understanding of APIs, microservices, distributed systems, and data architecture.
• Experience working with AI agent frameworks or orchestration models.
• Excellent communication and collaborator management skills.
• Preferred
• Experience building production-grade AI agent systems.
• Familiarity with vector databases, RAG architectures, and timely engineering.
• Knowledge of responsible AI, model evaluation, and observability frameworks.
• Experience in enterprise-scale digital transformation initiatives.
• Key Proficiencies
• Critical thinking with strong execution rigor.
• Systems thinking and architectural rigor.
• Strong technical depth in AI and distributed systems.
• Collaborative leadership and cross-functional influence.
• Balance between innovation and governance.
• Impact of the Role
• Equal Opportunity Statement:
• We strive to build an inclusive environment, empower employees and e

Additional Information

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Agentics Solution Architect Manager Role Overview We are seeking an experienced Agentics Solution Architect Manager to lead the development, governance, and delivery of enterprise-grade AI agent-powered solutions. This role combines people leadership with deep technical architecture expertise, focusing on building scalable, secure, and production-ready agentic systems that drive measurable business impact. You will lead a team of solution architects responsible for crafting autonomous and semi-autonomous systems that use large language models (LLMs), multi-agent orchestration, enterprise data platforms, APIs, and cloud-native architectures.

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