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

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