Senior Consultant / Architect – AI-Driven Modernization (North America) (Engineering / Architecture → Customer Ownership)

• 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:

About castsoftware

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.

Responsibilities

• 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.
• Analyze large, complex codebases (.NET, Java, SQL, etc.)
• Reconstruct architecture, dependencies, and data flows using CAST Imaging

Identify risks, hidden dependencies, and modernization blockers

• 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
• Ensure transformations preserve:
• Dependencies and integrations
• Architecture integrity
• Security and operational requirements
• Work directly with engineering and architecture teams
• Translate technical insights into clear action plans
• Drive progress from:
• Initial analysis → transformation → adoption
• 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

Requirements

• 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
• 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