Senior Engineering Manager, MCP and Agentic AI
Autodesk
Senior Engineering Manager, MCP and Agentic AI
Job Description
Senior Engineering Manager, MCP and Agentic AI
đ Job Overview
The Senior Engineering Manager for MCP and Agentic AI at Autodesk leads a team developing multi-agent systems and AI technologies to enhance design and engineering workflows. This role involves overseeing the architecture, development, and deployment of agentic AI solutions that integrate with Autodesk's product ecosystem. The position is available in two locations and focuses on innovation in AI-driven automation for the AEC industry.
đ Location: 2 Locations, 2 Locations
đ Posted: Posted 29 Days Ago
đŻ Key Responsibilities
- Lead and mentor a team of engineers building MCP and agentic AI frameworks
- Define technical roadmap and architecture for AI integrations
- Collaborate with product managers and cross-functional teams to deliver scalable solutions
- Drive innovation in AI technologies to solve complex design challenges
- Ensure code quality, performance, and adherence to best practices
â Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in software engineering, with at least 3 years in management roles
- Proven track record leading engineering teams in AI or machine learning projects
- Experience with large-scale software development in cloud environments
â Preferred Qualifications
- Master's degree or PhD in AI, Computer Science, or related field
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products and APIs
- Background in multi-agent systems or reinforcement learning
đ ïž Required Skills
- Proficiency in Python, Java, or C++
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch)
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with AI agent frameworks and multi-agent coordination
- Strong leadership and communication skills
- Agile methodologies and DevOps practices
đ Benefits & Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Generous paid time off and parental leave
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
280,000 - 420,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, Java, or C++intermediate
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch)intermediate
- Knowledge of cloud platforms (AWS, Azure, or GCP)intermediate
- Experience with AI agent frameworks and multi-agent coordinationintermediate
- Strong leadership and communication skillsintermediate
- Agile methodologies and DevOps practicesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in software engineering, with at least 3 years in management roles (experience)
- Proven track record leading engineering teams in AI or machine learning projects (experience)
- Experience with large-scale software development in cloud environments (experience)
Preferred Qualifications
- Master's degree or PhD in AI, Computer Science, or related field (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with Autodesk products and APIs (experience)
- Background in multi-agent systems or reinforcement learning (experience)
Responsibilities
- Lead and mentor a team of engineers building MCP and agentic AI frameworks
- Define technical roadmap and architecture for AI integrations
- Collaborate with product managers and cross-functional teams to deliver scalable solutions
- Drive innovation in AI technologies to solve complex design challenges
- Ensure code quality, performance, and adherence to best practices
Benefits
- general: Competitive salary and equity package
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous paid time off and parental leave
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Senior Engineering Manager, MCP and Agentic AI
Autodesk
Senior Engineering Manager, MCP and Agentic AI
Job Description
Senior Engineering Manager, MCP and Agentic AI
đ Job Overview
The Senior Engineering Manager for MCP and Agentic AI at Autodesk leads a team developing multi-agent systems and AI technologies to enhance design and engineering workflows. This role involves overseeing the architecture, development, and deployment of agentic AI solutions that integrate with Autodesk's product ecosystem. The position is available in two locations and focuses on innovation in AI-driven automation for the AEC industry.
đ Location: 2 Locations, 2 Locations
đ Posted: Posted 29 Days Ago
đŻ Key Responsibilities
- Lead and mentor a team of engineers building MCP and agentic AI frameworks
- Define technical roadmap and architecture for AI integrations
- Collaborate with product managers and cross-functional teams to deliver scalable solutions
- Drive innovation in AI technologies to solve complex design challenges
- Ensure code quality, performance, and adherence to best practices
â Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in software engineering, with at least 3 years in management roles
- Proven track record leading engineering teams in AI or machine learning projects
- Experience with large-scale software development in cloud environments
â Preferred Qualifications
- Master's degree or PhD in AI, Computer Science, or related field
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products and APIs
- Background in multi-agent systems or reinforcement learning
đ ïž Required Skills
- Proficiency in Python, Java, or C++
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch)
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with AI agent frameworks and multi-agent coordination
- Strong leadership and communication skills
- Agile methodologies and DevOps practices
đ Benefits & Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Generous paid time off and parental leave
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
280,000 - 420,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, Java, or C++intermediate
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch)intermediate
- Knowledge of cloud platforms (AWS, Azure, or GCP)intermediate
- Experience with AI agent frameworks and multi-agent coordinationintermediate
- Strong leadership and communication skillsintermediate
- Agile methodologies and DevOps practicesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in software engineering, with at least 3 years in management roles (experience)
- Proven track record leading engineering teams in AI or machine learning projects (experience)
- Experience with large-scale software development in cloud environments (experience)
Preferred Qualifications
- Master's degree or PhD in AI, Computer Science, or related field (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with Autodesk products and APIs (experience)
- Background in multi-agent systems or reinforcement learning (experience)
Responsibilities
- Lead and mentor a team of engineers building MCP and agentic AI frameworks
- Define technical roadmap and architecture for AI integrations
- Collaborate with product managers and cross-functional teams to deliver scalable solutions
- Drive innovation in AI technologies to solve complex design challenges
- Ensure code quality, performance, and adherence to best practices
Benefits
- general: Competitive salary and equity package
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous paid time off and parental leave
Tags & Categories
Answer 10 quick questions to check your fit for Senior Engineering Manager, MCP and Agentic AI @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs