Pre‑Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.
Compensation
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Responsibilities
Partner with account executives across South Korea to deeply understand customer requirements and translate them into technical solutions
Serve as the primary technical advisor to enterprise customers across South Korea throughout their Claude adoption journey
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across South Korea
Guide technical architecture decisions and help customers across South Korea integrate Claude effectively into their existing technology stack
Requirements
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Nice to have: 5+ years of relevant experience
Nice to have: experience designing scalable cloud architectures
Nice to have: familiarity with machine learning or data science
Lead GenAI Architect and full‑stack engineer responsible for designing, developing, and deploying GenAI‑powered applications within Visa’s global operations.
Responsibilities
Design and develop GenAI‑enabled applications using LLM frameworks such as LangGraph, LangChain, Haystack, and AWS Bedrock GenAI services
Lead and mentor a team of engineers in full‑stack development with Python, FastAPI, React + TypeScript
Build and maintain data pipelines, CI/CD automation, and infrastructure-as-code for AI systems
Implement RAG architectures, vector databases, and event‑driven messaging systems
Ensure security, governance, and responsible AI compliance across deployments
Requirements
Bachelor’s Degree in Computer Science, Engineering, AI/ML, or related field
Lead the evolution of Visa's Middleware Product Reliability Engineering team in Austin, designing and building AI-driven automation and reliability solutions at global scale.
Compensation
The estimated salary range for this position is $131,600.00 to $ 210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Design and develop middleware reliability solutions
Produce extensible, maintainable code
Lead and participate in design reviews
Identify risks and define metrics
Build intelligent automation systems leveraging AI/ML and LLM frameworks
Requirements
Bachelor's degree in Computer Science, Software Engineering, or related field
Nice to have: Advanced degree (Masters, MBA, JD, MD, PhD)
Nice to have: Experience with GenAI and agentic systems
AI Research Engineer focused on building evaluation frameworks, experiments, and tooling to improve AI agents across research, engineering, and business workflows at Gauntlet.
Locations (4)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
United States
Compensation
The national pay range for this role is $175,000 - $195,000 base plus additional On Target Earnings potential by level and equity in the company.
Responsibilities
Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics that measure performance on real-world tasks.
Lead community growth and engagement for YugabyteDB, AMP, and Meko, building programs, events, and content to empower developers.
Compensation
The cash compensation for this role is market competitive, with a range of $160,000-$215,000, as well as equity (when applicable), and benefits including health plans, retirement plans, and unlimited paid time off (PTO). Some roles also include variable/incentive compensation, or a competitive On Target Earnings (OTE) incentive compensation structure.
Responsibilities
Own community programs end-to-end, including workshops, meetups, hackathons, partner events, and online spaces
Build and run community growth plan across YugabyteDB, AMP, and Meko
Run and grow community Slack and Discord, and build presence in channels like Reddit, GitHub, Stack Overflow, LinkedIn, Bluesky, and X
Launch programs that recognize and reward participation
Turn active community members into speakers, authors, sample app contributors, and meetup hosts
Requirements
Bachelor’s degree in Computer Science or a related field
Pre‑Sales architect focused on becoming a trusted technical advisor helping large enterprises across Australia and the Asia‑Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.
Compensation
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Responsibilities
Partner with account executives to deeply understand customer requirements and translate them into technical solutions
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Requirements
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Lead engineer designing and delivering AI‑powered solutions for Mastercard’s technology modernization initiatives.
Responsibilities
Design, develop, and deliver AI‑powered solutions leveraging modern architectures, including LLM‑based systems and retrieval‑augmented generation (RAG)
Build and maintain enterprise knowledge bases with vector search capabilities
Develop LLM‑driven applications using frameworks such as LangChain
Implement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent
Architect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and Databricks
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline
Lead the design, development, and deployment of AI-powered applications and agentic systems using LLMs and modern frameworks.
Compensation
Estimated annual compensation range for this role will be as follows: In CA / WA / NY / CO, IL, MN, NJ: $ 73000 to $ 102200 In Washington, DC: $66100 to $ 100200
Responsibilities
Contribute to requirements elicitation and documentation
Facilitate software design discussions and document decisions
Participate in coding and integrate new features into existing applications
Conduct code reviews and maintain code repositories
Implement test strategies and coordinate bug fixes
Design experiments to compare models, agent harnesses, tools and execution environments, identifying regressions and understanding trade-offs between performance, reliability and cost.
Work with teams across Gauntlet to turn qualitative feedback about agent behaviour into concrete research questions, experiments and measurable outcomes.
Investigate agent failures, understand whether problems come from the model, harness, tooling or prompting, and develop ways to improve performance.
Build and improve agent harnesses, internal tools and integrations, including contributing to Aria and other agents used across the business.
Requirements
Advanced degree or postgraduate research experience in computer science, mathematics, statistics, machine learning or a related field
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