Ai Architect

**Who We Are**

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

**The Role**

As a **Senior Agentic AI Architect**at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You’ll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.

You’ll engage deeply with business leaders and stakeholders—translating strategic objectives into agentic AI architectures. Instead of just building models, you’ll define system blueprints for **multi-agent ecosystems**that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.

In this role, you’ll take ownership of the **end-to-end solution lifecycle**: business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)**, orchestration frameworks, and LLMOps practices, you’ll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready**.

Beyond prototypes, you’ll ensure agentic AI becomes **embedded in enterprise processes**—enabling automation, decision augmentation, and continuous value realization. You’ll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust**. As a senior leader, you’ll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.

If you’re ready to **set the standard for enterprise agentic AI adoption**, architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we’ll push the boundaries of what’s possible and unlock the next generation of enterprise transformation.

**Who You Are**

**Who You Are**

You are a **strategic thinker and technical leader**who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset**—constantly exploring new frameworks and approaches to agentic AI. You’re **customer-obsessed**, ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership**.

**Required Skills and Experience**:

- Minimum 12 - 16 years of overall experience in IT industry.
- Proven experience designing and deploying **enterprise-scale agentic AI architectures**, multi-agent systems, or autonomous orchestration solutions.
- Expertise in **AI/ML development, LLM orchestration, and agent frameworks**such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
- Strong architectural background in **cloud-native AI platforms**(Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures**.
- Demonstrated leadership in **AI solution design**, balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
- Exceptional **communication and influence skills**, with the ability to guide executive stakeholders and mentor engineering teams.
- Track record of managing **multiple enterprise AI initiatives simultaneously**, ensuring consistency, quality, and business alignment.

**Preferred Skills and Experience**:

- Graduate / Postgraduate in Computer Science, computer engineering ,Artificial Intelligence, Data Science, or related field.
- Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
- Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns**.
- Familiarity with **enterprise AI governance frameworks**including security, privacy, observability, and ethical AI.
- Domain expertise in **regulated or complex industries**such as financial services, healthcare, cybersecurity, or IT operations.

**Being You**

Diversity is a whole lot more than what we look like or where we come from, it’s how we think an