Partner directly with business stakeholders to identify opportunities for AI-driven transformation and design, build, and deploy AI-powered applications and agentic workflows.
Compensation
The pay range for this position is $80.00 - $85.00/hr.
Responsibilities
Partner directly with business stakeholders to identify opportunities for AI-driven transformation
Translate vague or ambiguous business requirements into scalable technical architectures
Design, build, and deploy AI-powered applications and agentic workflows
Develop production-grade AI solutions leveraging LLMs, agents, MCPs, skills, tools, and modern AI frameworks
Rapidly prototype new AI use cases and validate business value
Design and evolve core APIs and developer experience for Modular’s MAX AI framework, focusing on inference and training systems across Python and Mojo.
Locations (3)
Los Altos, California, United States
United States
Canada
Compensation
The estimated base salary range for this role to be performed in the US, regardless of the state, is $180,000–$324,000 USD.
Responsibilities
Influence the design of the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees and developer experience.
Design inference APIs that support real-world serving needs: model loading, distributed inference, quantization, tokenization/pipelines, configuration surfaces, batching/streaming, and deployment-oriented ergonomics.
Lead the technical vision, strategy, and execution for AI capabilities that power Asurion's next-generation customer experience.
Locations (3)
San Mateo, California, United States
Nashville, Tennessee, United States
Sterling, Virginia, United States
Responsibilities
Define long-term AI technology vision and roadmap
Provide technical leadership and mentorship to a team of ~20 data scientists and ML/GenAI practitioners
Lead AI architecture decisions spanning LLMs, RAG, agentic AI, evaluation frameworks, orchestration, and production deployment
Drive customer-facing virtual agents that gather information, resolve issues, detect sentiment, avoid hallucinations, and seamlessly escape with full conversational context
Deliver real-time AI agent assist capabilities including knowledge retrieval, next-best action, desktop guidance, call summarization, and sales recommendations
Design training APIs that scale from single device to distributed execution, with clear primitives for device placement, parallelism, checkpointing, and observability.
Create a coherent programming model across Python and Mojo-adjacent surfaces: align naming, types, and conventions; avoid leaky abstractions; define the "pit of success".
Drive RFCs and technical specs: write and socialize proposals; gather feedback from internal model engineers and external users; iterate towards consensus.
Requirements
Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field
Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field
PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field
Advanced degree in Computer Science, AI, Machine Learning, Statistics, or related field, or equivalent experience
Nice to have: PhD or Master's in AI, Computer Science, Machine Learning, or related discipline
Nice to have: experience leading AI organizations within product development environments
Nice to have: recognized contributions to the AI community through publications, conference presentations, open-source projects, or industry leadership
Nice to have: AI/ML certifications from major cloud providers or leading AI platforms
Forward Deployment EngineerTEKsystems · New York, US
Senior AI Framework EngineerModular · Los Altos, US+2 more
AI Forward Deployed EngineerMarvik · London
Engineering Team LeadConifers.ai · Tel Aviv, Israel