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

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.
About the Role

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 .
What You’ll Do
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

- 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

Who You Are

- 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

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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

Originally posted on Himalayas