Lead AI Engineer

Toshiba Global Commerce Solutions is seeking an AI Architect who is an expert in designing and delivering complex systems acting as a goto technical authority in the Agentic AI organization. The AI Architect will typically lead multiple projects or an entire critical domainof the platform. For example they might own the AI Code and Validation domain endtoend which includes everything from sandboxing static analysis runtime monitoring to deployment integration for AIgenerated code.

In this role an engineer hasbroad autonomyto define technical approaches and is trusted to make decisions that affect the architecture of the overall system. They coordinate closely with the engineering manager and principal engineers to ensure the platform meets strategic goals. This level is analogous to advanced staff engineers at leading companies those who have designed largescale AI or distributed systems and are recognized for solving hard technical problems such as multiagent orchestration and cloud scalability.

Key Outputs & Outcomes:

• Strategic Technical Plans:Clearly defined architecture roadmaps and design documents for major parts of the platform ensuring the team is moving in a coherent direction that aligns with business needs and technological evolution. Outcomes include approved architecture proposals and funded projects based on your plans.
• Successful Delivery of Complex Projects:Completion of largescale projects under your technical leadership on time and within performance/scope goals. For example a new AIdriven code verification service is delivered and reduces human code review effort by say 50 a direct measurable improvement tied to your initiative.
• Technical Innovation:Introduction of new technologies or approaches that significantly improve the platforms capabilities or efficiency. This could be measured by performance metrics (e.g. system throughput improved by a factor due to your prototyped optimization) or capabilities (e.g. the platform can now support an additional programming language or framework for code generation expanding Toshibas product offerings). Possibly also patents or internal IP generated from innovative solutions.
• Organizational Learning & Standards:The broader org benefits from best practices you establish. For instance coding standards or security practices you champion become standard operating procedure reducing bugs and incidents. Other engineers step up with improved design thinking and autonomy influenced by your mentorship (e.g. you see midlevel engineers confidently leading subprojects using approaches you advocated).

Responsibilities:

• Technical Roadmapping & Design:
  • Work with Principal Engineer and leadership to define the technical roadmap for your domain (e.g. AI Code and Validation). Break down the longterm vision into concrete projects and architecture updates. For instance plan a series of enhancements over the next year to enable the AI agent to handle larger codebases or multimodule systems autonomously. Author highlevel architecture proposals and lead technical planning meetings.
• Project Technical Leadership:
  • Lead the of major engineering initiatives. This includes driving project timelines making critical design decisions and ensuring cohesion across components. For example if rolling out a new autonomous code analysis service decide on the tech stack (perhaps adopting an opensource static code analysis tool and extending it) outline the API contracts between services and ensure that engineers on the project implement according to specifications. Perform risk management by identifying potential technical pitfalls early (scalability security) and mitigating them.
• Innovation & Prototyping:
  • Investigate emerging technologies or methods to keep improving the agentic AI platform. Prototype solutions to particularly challenging problems. E.g. evaluate a new LLM with better code understanding or prototype a new approach for the AI to selfdebug runtime errors using reinforcement learning. Based on results make recommendations (or decisions) on whether to integrate these innovations. This may involve reading research papers or collaborating with research teams and turning insights into proofofconcept code..
• CrossFunctional Collaboration:
  • Interface with other groups (Product QA Security Operations) at a senior level. For instance work with Product Management to understand requirements for new agent capabilities (like supporting a new programming language or framework) and translate that into technical requirements. Coordinate with Ops/IT to ensure the infrastructure supports new features (perhaps needing new server instances or services). Guide QA on designing tests for complex AIdriven features. Essentially be the technical liaison ensuring that all stakeholders are aligned on what is being built and how it will operate.
• Mentoring and Technical Influence:
  • Influence and uplift the broader engineering teams skills. Mentor not only direct team members but also engineers in adjacent teams on areas of your expertise (e.g. secure coding practices or effective use of a new tool you introduced). Review critical design docs from other engineers providing seasoned insight. Lead by example in fostering a culture of engineering excellence and autonomous first thinking encouraging the team to build solutions that maximize what AI agents can safely do on their own.

Required Skills & Experience:

• 10 years of software engineering experience including substantial time as a senior/staff engineer driving large projects. Demonstrated ability tolead without direct authority influencing peers and juniors to achieve engineering goals.
• Exceptional system design and analytical skills able to conceptualize complex systems reason about interactions between components (including failure modes and edge cases) and ensure correctness and robustness in design. Experience designing missioncritical systems (high uptime high security etc. is expected.
• Deep knowledge ofdistributed systems and cloud architecture. Comfortable designing solutions that involve multiple services databases queues and know how to ensure they work together (e.g. eventual consistency issues transaction management messaging patterns).
• Proficient inagentic AI toolchains: understanding not just how to use LLMs but how to build frameworks around them (tool invoking chaining results longhorizon planning for agents etc.. Likely has worked with AI agents or extensive MLdriven systems and knows their pitfalls.
• Mastery of development tools and programming paradigms. For example able to navigate and improve a large codebase in Python while also harnessing lowlevel languages or performance techniques when needed (embedding C/C for performance critical sections etc..
• Broad knowledge of software engineering domains:from frontend considerations (if building any UI for monitoring the AI agents) to backend databases networking and even a bit of ML theory you can converse with specialists in any of these areas and integrate their work.
• Strong sense of ownership and accountability. Consistently delivers on commitments and takes responsibility for the technical success of the platform.
• Excellent communication and leadership skills: can clearly communicate complex technical vision to engineers and also articulate value and risk to nontechnical stakeholders/executives.

Preferred Skills & Tools:

• MultiLanguage and Legacy Systems:Experience ensuring AIgenerated code works across different tech stacks (Java C Python etc. useful if Toshibas solutions involve multiple languages. Understanding how to interface with legacy systems through APIs or adapt AI outputs to legacy constraints is a plus.
• LLM Finetuning/Customization:While not a data science role experience in finetuning models or customizing LLMs for specific tasks could be valuable as it allows better alignment of the models output with the platforms needs.
• Advanced Security Knowledge:Familiarity with advanced topics like formal methods for software verification or static/dynamic analysis tools (Coverity SonarQube etc. which can be used to automatically vet AIgenerated code. Also knowledge of compliance standards (ISO SOC2 etc. if the platform must adhere to them.
• Global Scale & Distributed Teams:Experience working on systems that operate globally (multiple regions dealing with network partitions replication) and coordinating development across distributed teams. Toshiba is a global company; an Engineer V might occasionally coordinate with teams in different geographies for this platform.
• Community Engagement:Recognized in professional communities (conferences opensource) for expertise in relevant domains (AI engineering DevOps etc.. This can help Toshibas Agentic AI org stay connected with industry advances.

Toshiba Global Commerce Solutions is a dynamic billiondollar global company based in Research Triangle Park NC providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the selfcheckout at Lowes Foods earned fuel rewards at Kroger or just paid for purchases at retailers such as Walmart Michaels Carrefour The Gap Calvin Klein Boots Cencosud BJs or Costco These are just a few examples of our instore solutions and impressive customer base that made us the worlds installed market share leader.

The nature of retail is changing quickly so if you share our Together Commerce vision of a seamless twoway participatory shopping experience lets get together to drive the new economy.

Toshiba Global Commerce Solutions Inc. offers a competitive salary and generous benefits package including the following:

• Group health coverage (medical dental & vision)
• Employee Assistance Programs
• Pretax spending accounts
• 401(k) plan (with company match)
• Company provided life insurance
• Pet Insurance
• Employee discounts
• Generous paid holiday schedule paid vacation & sick/personal days

EEO:

Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age ancestry color religious creed disability marital status medical condition genetic information military or veteran status national origin race sex gender gender identity gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.

Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email to request an accommodation

DIVERSITY EQUITY & INCLUSION:

We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore were committed to Diversity Equity and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach Foster Belonging Unleash Opportunity Diverse Cultural Engagement and Culture of Transparency). Were passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future.