Senior Consultant / Architect – AI-Driven Modernization (North America) (Enginee

Role Summary

CAST Software is the global leader in Software Intelligence. We help enterprises understand, improve, and transform complex software systems.

Our platform provides deterministic system-level insight into large codebases, which—combined with AI models and agents—enables enterprises to move from experimentation to production-grade AI outcomes in brownfield environments.

We are hiring strong engineers and architects who want to move beyond pure development into end-to-end ownership of real-world outcomes in the AI era .

• You will work directly with large enterprise codebases (often millions of lines of code), using CAST and AI tools to:
• Understand system architecture and dependencies
• Enable AI-assisted modernization and transformation
• Ensure outputs are accurate, complete, and production-ready

This is a role for someone who wants to stay deeply technical while stepping into higher-impact, customer-facing ownership .

Ensure transformations preserve

• Dependencies and integrations
• Architecture integrity
• Security and operational requirements
• Bridge Deterministic Insight and AI
• Ground AI outputs in deterministic system context
• Identify gaps where AI-only approaches fall short (e.g., missing layers, incorrect flows)
• Iterate toward deployable, production-ready outcomes
• Own Customer Outcomes
• Work directly with engineering and architecture teams
• Translate technical insights into clear action plans

Drive progress from

Initial analysis → transformation → adoption

Expand into Customer Ownership

Lead technical discussions with

• Architects, engineering leads, and CTO organizations
• Contribute to executive conversations with clear, structured insights
• Gradually take on broader ownership of customer success and outcomes

5–12+ years in

Software engineering, architecture, or modernization

Strong experience with

Java, .NET, SQL, distributed systems

Enterprise application architectures

Comfortable working with

Large, complex, poorly documented systems

Exposure to or strong interest in

• AI/GenAI for software development
• Code transformation and modernization
• Strong problem-solving mindset — able to trace issues across systems
• Good communication skills, with interest in becoming more customer-facing
• What Makes This Role Different
• You work on brownfield systems where correctness matters
• You don’t just generate code — you validate and make it real
• You bridge AI capability with system reality
• You evolve from architect → customer owner

You are positioning your career at the center of the AI shift — working on the exact problems that will define how AI is used in enterprise software, not just experimenting at the edges

Responsibilities

• Work on Real Enterprise Systems
• Analyze large, complex codebases (.NET, Java, SQL, etc.)
• Reconstruct architecture, dependencies, and data flows using CAST Imaging
• Identify risks, hidden dependencies, and modernization blockers
• Enable AI-Assisted Transformation
• Use tools such as VS Code, GitHub Copilot, Claude , and CAST MCP to:
• Support code transformation (.NET → Java, legacy → modern frameworks)
• Validate structural and functional accuracy of AI-generated outputs