Enterprise AI Architect

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you'll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

1. Strategic & Advisory:
   1. Translate business goals into technical architectures and implementation roadmaps.
   2. Explore emerging agentic architectures reasoning models and multi-agent coordination to advance enterprise capabilities.
   3. Evaluate build vs. buy decisions and recommend technology investments across data model and application layers.
   4. Align architecture decisions with enterprise standards security and governance frameworks.
2. Data & AI Engineering:
   1. Design scalable data pipelines and model serving layers.
   2. Ensure observability performance and cost optimization.
   3. Build APIs and microservices for interoperability.
   4. Enable automation through orchestration tools and event-driven design.
3. Leadership & Enablement
   1. Guide technical teams across architecture data and AI domains.
   2. Communicate architecture vision effectively to executives and engineering teams.
   3. Lead technical demos proof-of-value builds and validate solutions against success criteria.

• Proficiency in Python SQL and FastAPI
• Azure and AWS cloud ecosystems
• LLM frameworks like Langchain agent design and orchestration data handling and evaluation tools

• Proficiency in Python SQL and FastAPI
• Azure and AWS cloud ecosystems
• LLM frameworks like Langchain agent design and orchestration data handling and evaluation tools