AIML Architect: Autonomous Agents for EDA Tools

Siemens EDA (Siemens Digital Industries Software); Austin (TX); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Siemens EDA is seeking an experienced AIML Architect to lead the design and evolution of AI-powered solutions across our design and verification tools. In this strategic role, you will define technical architecture for AI/ML and Agentic AI systems, establish governance models, and drive AI platform standardization across our product portfolio.

You will collaborate with engineering leaders, product management, UX teams, and domain experts to transform AI concepts into production-grade solutions

Qualifications

• 2-4 years of proven industry experience with focused AI/ML work
• Strong expertise in large language model-based systems, Agentic AI frameworks, retrieval-augmented generation architectures, vector databases, and AI orchestration platforms
• Proficiency in Python with proven understanding of software design patterns and clean code principles
• Hands‑on experience developing AI agents or copilots that collaborate with tools or external APIs
• Understanding of agentic design patterns such as ReAct, plan‑execute, and multi‑step reasoning
• Practical experience with (OpenAI, LLaMA, Claude, etc.) and prompt engineering standard processes
• Hands‑on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit‑learn
• Practical experience in data preprocessing, feature engineering, and model evaluation
• Strong understanding of deep learning models including artificial neural networks and transformers
• Familiarity with developer tooling, VS Code extensions, and copilot‑style integrations
• Ability to identify AI use cases, conceptualize solutions, and drive from prototype to production
• Good foundations in algorithms, data structures, CLI design, and API design

Responsibilities

• Define and drive the technical architecture for AI/ML and Agentic AI solutions across multiple products and teams
• Design scalable AI platforms demonstrating large language models, Agentic Frameworks, Model Context Protocol, LangGraph, vector databases, retrieval-augmented generation, and emerging AI technologies
• Establish architecture patterns, protocols, governance models, and technology roadmaps for AI-enabled products
• Lead the design of intelligent agents capable of tool usage, workflow automation, reasoning, planning, and autonomous task execution
• Evaluate and select AI technologies, models, frameworks, and infrastructure to meet product and business objectives
• Architect end-to-end AI systems including data pipelines, model serving, observability, memory management, evaluation frameworks, and deployment strategies
• Collaborate closely with engineering leaders, product management, UX teams, AI researchers, and domain guides to deliver production-grade solutions
• Mentor engineering teams on Genetic AI, large language model architecture, prompt engineering, retrieval-augmented generation systems, and AI standards
• Define technical strategy for AI adoption and identify high-impact opportunities across EDA workflows
• Ensure responsible AI practices including model evaluation, governance, security, privacy, and compliance requirements

Skills

AI/ML experience

LLM-based systems

Agentic AI frameworks

Retrieval-augmented generation

Vector databases

Python

AI agents

Agentic design patterns

Prompt engineering

ML frameworks

Data preprocessing

Deep learning

Developer tooling

AI use cases

Algorithms & data structures

Code understanding

C/C++

Graph databases

SystemVerilog/EDA

Docker & CI/CD

Profiling tools

Tools

Python

PyTorch

TensorFlow

Scikit-learn

OpenAI

LLaMA

Claude

vector databases

Neo4j

FalkorDB

VS Code extensions

copilot integrations

Job description

Siemens EDA is seeking an experienced AIML Architect to lead the design and evolution of AI-powered solutions across our design and verification tools. In this strategic role, you will define technical architecture for AI/ML and Agentic AI systems, establish governance models, and drive AI platform standardization across our product portfolio.

You will collaborate with engineering leaders, product management, UX teams, and domain experts to transform AI concepts into production-grade solutions