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MathWorks
Senior Applied AI Engineer
CI/CD
Python
Edtech.com's Summary
MathWorks is hiring a Senior Applied AI Engineer to architect and build an agentic AI platform that enhances how the company develops software. The role involves driving technical decisions, integrating AI frameworks, and collaborating across teams to implement AI-powered developer tools that accelerate software delivery.
Highlights
- Architect and develop core AI platform capabilities including agent orchestration, SDKs, sandboxed runtimes, and LLM gateway infrastructure
- Evaluate and integrate external open-source tools ensuring security, extensibility, and developer experience
- Apply strong technical judgment in code review, architecture, and build-vs-buy decisions
- Define and promote best practices for safe and effective AI agent use in software development workflows
- Mentor Applied AI engineers on LLM applications, agent design, and platform engineering
- Partner with stakeholders to identify automation opportunities and shape AI tooling roadmaps
- Stay updated on AI tooling, agent architectures, and LLM advancements to inform platform strategy
- Requires expertise in Python and demonstrated experience with Platform as a Service (PaaS)
- Minimum qualifications include a bachelor's degree with 6 years professional experience or advanced degree equivalents
- Salary range is $135,700 to $210,400
Senior Applied AI Engineer Full Description
Senior Applied AI Engineer
- Team: Product Development
- Location: US-MA-Natick
- Salary Range: $135,700 - $210,400
Job Summary
We are looking for a senior software engineer to join our Applied AI team in Natick, MA building the agentic AI platform that will transform how MathWorks develops software. Our team is responsible for enabling AI-powered tools and systems central to the transformation of how we plan, build, deliver, and monitor our products.
You will architect and build core platform capabilities while shaping the technical direction for AI-powered developer tooling across the organization. This role requires strong technical judgment in a fast-moving domain: you’ll make consequential decisions about architecture, frameworks, and code quality in an environment where best practices are still being established. You will work with a group of self-starting, cross-functional engineers and build strong relationships across the development organization to drive adoption of AI systems that meaningfully accelerate how we ship software.
Responsibilities
- Design and drive the architecture of MathWorks’ agentic AI platform — agent orchestration, SDK, sandboxed runtime environments, and LLM gateway infrastructure
- Evaluate, select, and integrate external frameworks and open-source tooling (agent frameworks, orchestration layers, context management systems) against internal requirements for security, extensibility, and developer experience
- Exercise strong technical judgment in code review, architectural decisions, and build-vs-buy tradeoffs — setting a high bar for code quality, maintainability, and security across the team’s work
- Define patterns, abstractions, and best practices for safe, effective use of AI agents across software development workflows — and drive their adoption across the development organization
- Scope and decompose ambiguous, cross-cutting technical problems into actionable work for yourself and the team
- Mentor engineers on the Applied AI team through code review, design collaboration, and knowledge sharing — raising the team’s collective expertise in LLM application development, agent design, and platform engineering
- Partner with stakeholders across the development organization to understand workflows, identify high-leverage automation opportunities, and shape the technical roadmap for AI-powered developer tooling
- Stay current with a rapidly evolving landscape of AI tooling, agent architectures, and LLM capabilities, and translate that knowledge into platform decisions
Minimum Qualifications
- A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required.
- Expertise with python
- Demonstrated experience in/with Platform as a Service (PaaS)
Additional Qualifications
- Experience designing agent systems that combine deterministic and LLM-driven orchestration, including sandboxed execution environments, tool integration, and context engineering
- Experience building evaluation, observability, or quality assurance systems for AI/ML — including the ability to measure, trace, and improve system behavior in production
- Experience designing and building internal developer platforms, SDKs, or developer tooling adopted by other engineering teams
- Strong written and verbal communication skills, with the ability to explain complex technical decisions to both engineering and non-engineering audiences
- Demonstrated ability to evaluate build-vs-buy tradeoffs and integrate open-source or third-party tooling into enterprise systems
- Understanding of security considerations for AI systems in enterprise environments, including sandboxing, access control, and safe agent execution
- Track record of driving technical direction across team boundaries — including the communication, relationship-building, and stakeholder alignment needed to influence engineering practices at an organizational level
- Deep experience with software development tooling and workflows (CI/CD, code review systems, testing infrastructure)
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