AI Solution Architect

• Design and deliver end-to-end AI and agentic solutions across data, models, orchestration, integrations, security, deployment, and operations.

• Translate business problems into clear technical architectures and delivery plans, including deciding when agentic AI is appropriate versus simpler automation.

• Prototype, develop, test, and harden solutions to production standards, ensuring reliability, scalability, observability, and cost control.

• Architect and implement multi-agent systems capable of planning, reasoning, and acting through tools and workflows.

• Design scalable agents that interact with enterprise systems using tools and services.

• Apply guardrails, safety controls, iteration limits, and human-in-the-loop mechanisms to ensure controlled and auditable agent behavior.

• Architect clean integrations with ERP and other complex enterprise platforms using APIs, events, and workflow orchestration.

• Collaborate with platform, security, and application teams to align solutions with enterprise constraints and policies.

• Define and maintain enterprise AI architecture standards, reference architectures, design patterns, and approved technology stacks.

• Establish governance checkpoints, including architecture reviews, security and responsible AI controls, and pre–go-live readiness.

• Build reusable CoE assets such as templates, checklists, decision trees, evaluation scorecards, and runbooks.

Who you are:

You anticipate customer needs and provide services that are beyond customer expectations. You experiment with a wide range of existing technologies while applying new and emerging options that can enhance organizational outcomes. You try multiple varied approaches to innovative ideas.

For this role, you will need:

• Proven hands-on experience building Generative AI and multi-agent solutions for complex business process automation.
• Strong understanding of agent evaluation beyond model accuracy, including task success, tool selection, and reasoning quality.
• Experience with AI Ops / Agent Ops, including monitoring behavior, cost, drift, and failure modes in production.
• 8-10 years of experience designing and building enterprise-scale systems, ideally involving ERP or similarly complex platforms.
• Strong experience with Cloud and SaaS architectures, including identity, security, networking, and deployment.
• Hands-on expertise with APIs, integration patterns, workflow orchestration, CI/CD, containerization, and infrastructure as code.
• Solid grounding in LLMs, embeddings, RAG patterns, vector search, prompt design, and evaluation methods.
• Experience with open-source AI and agent orchestration frameworks and production-grade observability tools.
• Strong software engineering discipline, including clean interfaces, testability, and versioning.
• Advanced English skills

Preferred qualifications that set you a part:

• Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related field.
• Experience defining and operating enterprise AI governance models, including architecture reviews and production readiness controls.
  • A track record of building reusable enterprise assets that accelerate AI adoption across teams.