Director, Software Engineering | ( Enterprise Systems, ERP's & Supply Chain )
AI in this role
Meet the Team
In Supply Chain IT, our vision is to enable an adaptable, innovative and scalable Supply Chain for operational excellence and to power Cisco’s growth. We do this through flexible services with focus to Simplify, Innovate, and Accelerate. This community has been created and updated with the intent of enhancing communication, collaboration, cooperation among the team, stakeholders, and any member of Cisco to achieve the vision that has been established.
Your Impact
If you have knowledge of Enterprise systems, understand ERP, and have Supply Chain IT leadership experience then this role is for you. We are actively looking to hire a Director Engineering in Supply Chain. This individual will be responsible for continuing to drive AI native SDLC excellence within Supply Chain IT. This individual will lead several engineering teams in developing and delivering agentic solution across the entire Supply Chain ecosystem.
Responsibilities:
Specific responsibilities include:
· Strategic Leadership:
Define and drive the strategic roadmap for in-app and role-based AI integration across core Cisco Supply Chain systems, establishing best practices for agent security, semantic modeling, multi-agent protocols, and continuous agent learning.
· Platform Ownership:
Oversee the design, development, and deployment of scalable agentic frameworks (including Langraph, Langchain, LLMs), ensuring enterprise-grade Ask/Respond capabilities that leverage data from a diverse ecosystem of technology platforms.
· Legacy System Transformation:
Lead a high-performing AI development team charged with the end-to-end transformation of legacy supply chain systems into modern, AI-powered platforms. Guide the migration strategy, ensuring seamless integration and minimal disruption to business operations while maximizing the value of AI-driven automation.
· Enterprise AI Enablement:
Guide the architecture and implementation of advanced Natural Language Interaction (NLI) and Retrieval-Augmented Generation (RAG) systems, empowering stakeholders with actionable insights from enterprise LLMs.
· Data Integration Strategy:
Champion the development and standardization of secure, high-throughput data connectors (APIs, SDKs, database drivers) for integration with key enterprise databases (e.g., Oracle, SAP HANA, Snowflake, MongoDB), enabling seamless data access for AI solutions.
· API and Prompt Engineering Oversight:
Set direction for LLM-based prompt engineering frameworks, ensuring robust API design for scalable user input parsing and intent recognition across supply chain scenarios.
· Multi-Agent Systems and Integration:
Lead the definition and adoption of multi-agent communication protocols (FIPA ACL, MCP, A2A) and integration frameworks, enabling efficient, standardized agent interactions both internally and with external platforms.
· Cross-Functional Collaboration:
Partner with business, product, security, and infrastructure leaders to align AI initiatives with broader supply chain and organizational goals, ensuring technology investments deliver maximum business value.
· Talent Development and Mentoring:
Build, inspire, and develop high-performing engineering teams and senior technical talent, fostering a culture of innovation, collaboration, and technical excellence.
· Industry Leadership:
Represent Cisco Supply Chain IT in industry forums and partnerships, influencing best practices and establishing Cisco as a leader in AI-powered supply chain transformation.
· Culture: Strong advocate for code quality, agile delivery, and continuous learning across the portfolio. Own and establish site strategy alignment with the organizational goals.
Minimum Qualifications :
· Broad Supply Chain systems (build and operate) experience in high tech across most or all areas – New Product Introduction (prototype development, validation, release and EOS/EOL), Planning, Inventory, Sourcing, Manufacturing and Logistics. Experience integrating and working with contract manufacturers.
· Expertise in one or more industry standard (Oracle/SAP) ERP systems at scale. Experience implementing end-to-end systems to support various business models.
· Experience with cloud technologies such as AWS/Azure/GCP in a multi-cloud enterprise environment.
- Strong understanding of and previous experience working to integrate systems with Sales crediting & commissions, Order Management Finance – Accounts Receivable, General Ledger, Services/RMAs process, Export and Legal, Security and Identity Management.
· Proven senior leadership experience and team building capability with a global workforce.
· Excellent analytical, written and verbal communications skills and the ability to influence, interact, and present at executive level in both the supply chain and development organizations
· Good business sense/discernment and a strong foundation of business analytics/financial skills
· You are results oriented, self-motivated, flexible, collaborative and able to adapt in a fast-paced, changing environment
- Effective in influencing and using effective collaborative relationships for success
Preferred Qualifications :
· Good business sense/discernment and a strong foundation of business analytics/financial skills
· You are results oriented, self-motivated, flexible, collaborative and able to adapt in a fast-paced, changing environment
- Effective in influencing and using effective collaborative relationships for success
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
How we score this
Director, Software Engineering | ( Enterprise Systems, ERP's & Supply Chain ) at Cisco scores 22 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What are the limits of LangChain that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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