Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption
Requirements
Bachelor's degree in Engineering, Computer Science, or related field
Master’s degree or PhD in AI, Computer Science, or related technical field
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies; design, research, and implement new AI techniques; adapt ML methods to modern parallel environments; gather data for training; train ranking models; conduct experiments; improve Meta's platforms; present economic and game-theoretic analyses; develop scalable classifiers and tools.
Locations (4)
Redmond, Washington, United States
Burlingame, California, United States
New York, New York, United States
Seattle, Washington, United States
Responsibilities
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Lead the evolution of AI-enabled products for accounting firms and SMEs, defining strategy, prioritizing use cases, and coordinating cross-functional teams to deliver AI-driven solutions.
Responsibilities
Define product strategy with GPM
Analyse AI opportunities and competitive landscape
Prioritise use cases by business value and feasibility
Define success metrics and evaluation frameworks
Work with technical teams on data requirements, build-or-buy decisions, prompt and RAG design, evaluation, monitoring and iteration
Enterprise Architect - AI Presales role, having an experience between 3-8 years. The focus is a combination of technical knowledge, business understanding, solution design, and customer engagement.
Enterprise Architect - AI Presales role, having an experience between 3-8 years. The focus is a combination of technical knowledge, business understanding, solution design, and customer engagement.
Hands-on technical leader responsible for designing and evolving Linklaters' enterprise AI architecture (spanning generative AI, agentic systems, machine learning, and knowledge-driven platforms) to support the firm's ambition to be a world-leading, AI-powered law firm.
Responsibilities
Define and execute the firm's AI architecture vision, strategy, and roadmap
Design and maintain the firm's enterprise AI reference architecture
Architect agentic AI systems
Set standards for LLM selection, routing, and orchestration
Technical practitioner responsible for building, fine-tuning, and integrating advanced Artificial Intelligence and Machine Learning solutions in Microsoft Azure for the Digital Fraud Fabrication (DFF) Project at the Public Sector Fraud Authority (PSFA).
Compensation
In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
Responsibilities
Build and deploy production-grade AI pipelines
Develop generative AI applications
Implement anomaly detection models to analyse documents for AI generation, manipulation and fraud
Own how AI & Automation solutions are technically built and advanced across GE Vernova Power Business Operations, turning portfolio needs into architecture and solution choices, and guiding complex solutions from prototype toward scale.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $112,400.00 and $187,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
Responsibilities
Lead the shared pool of DT architects (contractors), directing prototype development across the global portfolio
Turn qualified portfolio needs into scoped work packages with clear architecture and solution choices, technical requirements, deliverables, acceptance criteria and milestones
Plan contractor capacity and allocate resources across the global portfolio
Set and uphold engineering expectations for code quality, version control, documentation and handoff
Develop architecture and solution options for portfolio opportunities, using Python, modern frameworks, vector databases and cloud AI APIs
Requirements
Bachelor's degree in computer science, engineering or related discipline
Nice to have: AI solutions scaling beyond prototype
Nice to have: GenAI solutions scaling beyond prototype
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