Senior Software Engineer – AI-First Development

Responsibilities

• Design, orchestrate, and validate software applications built through AI‑driven development workflows.
• Operate within an AI‑First Software Development Lifecycle (SDLC) where AI agents serve as the primary producers of code, configuration, and test artifacts.
• Provide architectural direction, context engineering, human‑in‑the‑loop governance, and final accountability for all delivered software.
• Combine deep software engineering fundamentals with the ability to think in systems, design effective agent workflows, and validate AI‑generated outputs across security, correctness, performance, and compliance dimensions.
• Design, build, and maintain AI agent workflows that produce application code, infrastructure configuration, test suites, and documentation.
• Decompose complex application requirements into discrete tasks that AI agents can execute effectively.
• Select and configure appropriate AI models, agent frameworks, and tooling for each workflow based on task complexity, risk level, and cost considerations.
• Author and maintain the agent toolchain, including Skills (SKILL.md) for reusable domain knowledge, hooks for deterministic automation at defined workflow points, and project memory files (CLAUDE.md, AGENTS.md).
• Review, test, and approve AI-generated code, ensuring it meets Sands coding standards, architectural guidelines, and security requirements before promotion to production.
• Coordinate with development teams across global locations to ensure consistency in agent workflows and coding standards.
• Evaluate emerging AI models, agent frameworks, and development tools to continuously improve workflow effectiveness and output quality.

Requirements

• At least 21 years of age.
• Proof of authorization to work in the United States.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• Must be able to obtain and maintain any certification or license, as required by law or policy.
• 7+ years of professional software development experience, with demonstrated progression into senior or lead roles.
• 1+ years of hands‑on experience using AI‑assisted development tools (such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar) as a core part of the daily development workflow.
• Strong foundational knowledge across at least two major programming ecosystems (for example, .NET/C#, JavaScript/TypeScript, Python, Java, Go), with the ability to evaluate and validate AI-generated code in any language relevant to a given project.
• Working knowledge of relational and non‑relational databases, including data modeling, query optimization, and schema design.
• Experience with cloud platforms (Azure preferred, AWS or GCP also acceptable), including deployment, configuration, and cost management.
• Working knowledge of DevOps practices, CI/CD pipelines, and infrastructure‑as‑code concepts.
• Experience with containerization (Docker) and container orchestration (Kubernetes or similar).
• Demonstrated ability to conduct thorough code reviews, identify defects in AI-generated outputs, and provide constructive technical feedback.
• Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade‑offs to both technical and non‑technical stakeholders.
• Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.