Corteva Agriscience

AI Architect

Corteva Agriscience

full-time

Posted on:

Location Type: Office

Location: Des Moines • Iowa • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow

About the role

  • Act as a unifier across data science, platform, and software teams while owning the architecture and best practices for AI systems and solutions
  • Define and communicate the AI architecture vision, strategy, and roadmap in partnership with key stakeholders across FS&D and enterprise counterparts
  • Establish and implement AI architecture principles, technical decision-making processes, and best practices
  • Provide technical guidance and mentorship to architects and engineering teams on designing, building, and operating AI services and platforms
  • Identify, assess, and recommend emerging AI technologies (e.g., protocols, vector databases, RAG patterns, agent frameworks, feature stores, model gateways) to enhance capabilities and outcomes
  • Design reference architectures for data ingestion, feature engineering, training, fine-tuning, inference/serving, monitoring, and feedback loops across cloud environments
  • Partner with security, privacy, and legal to embed Responsible AI, governance, and compliance controls (e.g., safety guardrails, model risk management, data protection)
  • Build and maintain relationships with internal/external stakeholders, vendors, and partners to align investments and accelerate delivery of AI use cases

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
  • 10+ years in software/system architecture with 5+ years focused on AI/ML systems at enterprise scale
  • Proven track record delivering complex AI solutions from discovery to production with measurable business impact
  • Expert knowledge of AI/ML frameworks and tooling (e.g., PyTorch, TensorFlow, scikit-learn), data/feature platforms, and model serving/observability stacks
  • Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization, APIs, orchestration, and CI/CD for ML (MLOps)
  • Familiarity with GenAI patterns (prompt engineering, fine-tuning, RAG), vector stores, model gateways, and evaluation methodologies
  • Strong grounding in data governance, security, privacy, and Responsible AI practices; ability to operationalize guardrails and controls
  • Excellent communication and stakeholder management skills; able to align diverse teams on architectural strategy and decisions
  • Strategic thinking, problem-solving, and decision-making skills; passion for innovation and continuous learning.
Benefits
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI architectureAI/ML frameworksPyTorchTensorFlowscikit-learncloud platformsMLOpsdata governancecontainerizationAPIs
Soft skills
communicationstakeholder managementstrategic thinkingproblem-solvingdecision-makingmentorshipcollaborationinnovationcontinuous learningtechnical guidance