Senior Director, Supply Chain Planning Tools Developer/Architect at Altera

San Jose, California, United States

Altera Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Technology, Supply Chain, Aerospace, AutomotiveIndustries

Requirements

  • Expertise in architecting AI-driven supply chain planning systems, including agentic AI, predictive modeling, and intelligent automation
  • Experience leading the design and deployment of next-generation planning architectures integrating data pipelines, ML models, and autonomous agents
  • Ability to partner with Supply Chain, Manufacturing, Product Engineering, IT, and business leaders to build unified digital ecosystems
  • Proficiency in developing intelligent agents for dynamic demand forecasting, scenario simulation, supply allocation, inventory balancing, risk detection, mitigation, and end-to-end visibility
  • Knowledge of integrating AI services into planning tools (e.g., SAP IBP, Kinaxis, Anaplan, custom platforms) using APIs, microservices, and MLOps
  • Experience building scalable AI pipelines for continuous learning, model retraining, and feedback loops
  • Leadership in data science, AI research, governance, explainability, and ethical AI frameworks
  • Skills in leading global teams of architects, developers, data scientists, and AI engineers
  • Capability to oversee data model design, data engineering, and real-time analytics dashboards
  • Experience championing modular, scalable architectures for AI experimentation, simulation, and deployment
  • Ability to collaborate with IT on robust infrastructure (data lakes, APIs, compute resources) for AI workloads
  • Proficiency in defining measurable business outcomes (e.g., forecast accuracy, inventory reduction, risk exposure)
  • Experience partnering with external AI vendors, cloud providers, and EDA/manufacturing software teams
  • Strong presentation skills to senior management, quantifying AI business impact

Responsibilities

  • Define and execute a global roadmap for AI-driven supply chain planning systems, incorporating agentic AI, predictive modeling, and intelligent automation
  • Lead the design and deployment of next-generation planning architectures integrating data pipelines, ML models, and autonomous agents into core systems
  • Partner with Supply Chain, Manufacturing, Product Engineering, and IT to establish a unified digital ecosystem connecting demand, supply, and production networks
  • Drive business transformation through AI-first planning capabilities for proactive, scenario-based, and autonomous decision-making
  • Architect and lead implementation of agentic AI frameworks for monitoring signals (supply, demand, logistics, risk) and taking corrective actions or recommendations
  • Develop intelligent agents for dynamic demand forecasting, scenario simulation, supply allocation, inventory balancing, risk detection, automated mitigation, and end-to-end visibility interacting with ERP, MES, and manufacturing systems
  • Build scalable AI pipelines for continuous learning, model retraining, and feedback loops across planning and manufacturing data
  • Oversee integration of AI services into existing planning tools using APIs, microservices, and MLOps practices
  • Partner with data science and AI research teams to translate advanced models into production-ready autonomous systems
  • Drive governance, explainability, and ethical AI frameworks for decision transparency and compliance
  • Lead a global team of architects, developers, data scientists, and AI engineers focused on supply chain planning and AI systems
  • Oversee data model design, data engineering, and development of real-time analytics dashboards for proactive decision-support
  • Champion modular and scalable architecture for rapid experimentation, simulation, and deployment of AI planning agents
  • Collaborate with IT to ensure robust infrastructure supporting AI workloads and decision automation at scale
  • Collaborate with business process owners to define measurable business outcomes through AI-enabled planning
  • Partner with external AI vendors, cloud service providers, and EDA/manufacturing software teams to enhance interoperability and leverage new AI capabilities
  • Present progress and insights to senior management, quantifying business impact from AI adoption

Skills

AI
Agentic AI
Machine Learning
Predictive Modeling
Data Pipelines
Systems Architecture
Supply Chain Planning
Autonomous Agents
FPGA
Semiconductor Manufacturing

Altera

Develops digital human agents for AI

About Altera

Altera develops digital human agents that mimic human traits like empathy, friendship, and fun. Their primary product allows users to interact with an AI agent while playing Minecraft, creating a friendly and engaging experience. Altera's agents are designed to be interoperable and capable of long-term autonomy, making them suitable for both individual users and businesses. Unlike many competitors, Altera focuses on advancing research and scaling technology to deliver unique, human-like AI products. The company's goal is to redefine AI agents, enhancing their versatility and human-like qualities.

San Francisco, CaliforniaHeadquarters
2023Year Founded
$10.7MTotal Funding
SEEDCompany Stage
Consumer Software, AI & Machine LearningIndustries
11-50Employees

Risks

Priest-led cults in Altera's Minecraft simulation may cause ethical concerns.
Managing 1,000 autonomous AI agents poses safety and ethical challenges.
Creating believable digital humans may lead to misuse in deceptive AI applications.

Differentiation

Altera specializes in digital human agents with traits like empathy and friendship.
Their first product offers a unique Minecraft experience with interactive AI agents.
Altera's focus on human-like AI agents sets them apart in the AI sector.

Upsides

Altera raised $9M in May 2024, showing strong investor confidence.
AI-driven gaming experiences are gaining popularity, benefiting Altera's Minecraft product.
The rise of AI companions in mental health indicates a market for empathetic agents.

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