Corporate Functions Senior Solutions Architect – VP
Aim of the Role
We are seeking a senior, hands-on technology leader to serve as the Corporate Functions Senior Solutions Architect – VP III, responsible for defining, scaling, and governing the next generation of AI-enabled platforms across Corporate Functions globally.
Key Responsibilities
Define and own the architecture strategy, target-state roadmap, and technology standards for AI-enabled solutions across Corporate Functions.
Lead the evolution of enterprise AI capabilities from knowledge assistants and productivity tools into intelligent, workflow-driven AI ecosystems.
Develop reusable architecture patterns supporting:
- Agentic AI
- Mult-agent orchestration
- Human-in-the-loop workflows
- Autonomous workflow execution
- AI-driven decision support
- Enterprise tool integration
- Workflow automation
- Intelligent process orchestration
Establish enterprise standards for scalability, reliability, security, governance, and operational readiness.
Define architecture patterns for intelligent agents capable of planning, reasoning, coordinating, and executing business workflows.
Design and scale solutions leveraging:
- Agent-to-Agent (A2A) communication
- Agent orchestration frameworks
- Tool calling and workflow execution
- Agent memory and context management
- Decisioning and escalation workflows
- Task decomposition and planning
- Human oversight and exception handling
Securely collaborate between intelligent agents, employees, and enterprise systems.
Establish governance standards for agent behavior, auditability, transparency, and operational controls.
Design architectures that support future AI-native business operating models.
Define scalable cloud architecture patterns supporting AI workloads and enterprise platform services.
Guide architecture across:
- Compute services
- AI model integration
- Event-driven architectures
- Messaging platforms
- API services
- Serverless architectures
- Data services
- Security and identity controls
Ensure solutions are engineered for:
- High availability
- Disaster recovery
- Performance optimization
- Cost efficiency
- Autoscaling
- Global deployment
- Operational resiliency
Architect secure integrations between AI platforms and enterprise systems.
Define standards enabling intelligent agents to interact with:
- Workday
- ServiceNow
- Microsoft 365
- SharePoint
- Databricks
- Internal enterprise applications
- External SaaS platforms
- Vendor-hosted solutions
Design reusable API frameworks and event-driven integration patterns.
Drive adoption of enterprise integration standards supporting scalable automation and future AI initiatives.
Partner with Cybersecurity, Enterprise Architecture, Risk, Privacy, and Compliance organizations to ensure all AI solutions meet enterprise requirements for:
- Authentication and authorization
- Identity and access management
- Data privacy and protection
- Cryptography
- Regulatory compliance
- Audit readiness
- Operational governance
- Responsible AI controls
Support architecture reviews, risk assessments, cloud governance reviews, and production readiness processes.
Define standards for monitoring, logging, tracing, performance management, and operational support.
Partner with engineering teams to implement production support models, runbooks, incident management processes, and resiliency testing.
Ensure enterprise AI solutions are maintainable, supportable, and scalable in a regulated environment.
Serve as a senior architecture authority across Corporate Functions Technology.
Lead architecture reviews and provide technical guidance on strategic initiatives.
Establish reusable reference architectures, standards, and engineering patterns.
Mentor architects, technical leads, and engineering teams.
Drive alignment across business, technology, infrastructure, cybersecurity, and vendor partners.
Promote a culture of engineering excellence, innovation, accountability, and continuous improvement.
Translate complex technical concepts into actionable business recommendations.
Influence technology strategy and investment decisions across Corporate Functions.
Partner with senior leaders to identify opportunities where AI can improve productivity, employee experience, automation, risk management, and operational efficiency.
Communicate architecture tradeoffs, risks, and recommendations clearly to executive stakeholders.
Build strong partnerships across global teams and organizational boundaries.
Qualifications
15+ years of experience in enterprise technology, solution architecture, platform engineering, cloud architecture, or AI solution delivery.
Proven experience designing and scaling enterprise platforms within large, global organizations.
Deep expertise in AI-enabled architecture, agentic AI, enterprise automation, and intelligent workflow orchestration.
Hands-on experience designing and implementing multi-agent architectures and AI orchestration frameworks.
Experience with modern AI development frameworks such as: LangGraph, LangChain, Semantic Kernel, Crew, AutoGen.
Strong knowledge of: Agent orchestration, Tool calling, Agent memory, Context management, Workflow execution, Reasoning and planning frameworks.
Experience with cloud-native architecture and AWS platform capabilities.
Strong knowledge of cybersecurity, IAM, data protection, encryption, and enterprise governance requirements.
Experience leading globally distributed engineering and architecture teams.
Exceptional communication and stakeholder management skills.
Preferred Qualifications
Experience building enterprise AI platforms using AWS services including: Amazon Bedrock, ECS/EKS, Lambda, EventBridge, Step Functions, API Gateway, OpenSearch, DynamoDB, RDS, Secrets Manager, CloudWatch.
Experience deploying and governing enterprise-scale agentic AI platforms.
Experience implementing Agent-to-Agent (A2A) communication architectures and emerging AI interoperability standards.
Familiarity with Model Context Protocol (MCP) and AI ecosystem integration patterns.
Experience supporting intelligent automation across HR, Legal, Audit, Compliance, Risk, or Corporate Functions domains.
Experience with Databricks, enterprise data platforms, and modern data architectures.
Experience within financial services or other highly regulated industries.
Cloud, Architecture, AI, or Security certifications are strongly preferred.