Lead the scientific direction for Copilot Chat Orchestration, defining the experimentation roadmap that advances reasoning, grounding, tool use and agentic capabilities.
Compensation
Applied Sciences IC6 - The typical base pay range for this role across United Kingdom is £ 119,100.00 - £ 178,700.00 per year.
Responsibilities
Lead the scientific direction for Copilot Chat Orchestration, defining the experimentation roadmap that advances reasoning, grounding, tool use and agentic capabilities.
Lead high-impact initiatives from problem formulation through production deployment, delivering measurable improvements in quality, reliability, latency, cost efficiency and customer value.
Develop novel approaches to multi-step reasoning, planning, retrieval-augmented generation, tool orchestration and reinforcement-learning-based optimization.
Establish rigorous evaluation methodologies spanning offline benchmarks, online experimentation and large-scale telemetry, shaping success criteria and informing product and model decisions.
Drive deep investigations into model behavior and orchestration failure modes, translating findings into systematic improvements and strategic investments.
Requirements
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or related field
Ph.D. in Computer Science, Math, Physics, Statistics or related areas
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices, focusing on SAP HANA optimized ABAP engineering and AI-native capabilities.
Responsibilities
Design and develop ABAP solutions optimized for SAP HANA using pushdown principles
Build efficient data models and access patterns using CDS views, associations, annotations, and authorization concepts
Implement performance critical logic using AMDP / SQLScript
Develop modular, testable, and maintainable ABAP code aligned to clean architecture practices
Build services and APIs using modern paradigms (OData/service exposure patterns)
Join a client engagement building an AI-powered tool that extracts business and technical requirements from legacy code and documentation, helping a large US financial services client modernize its systems faster and with less risk. You will work with the agentic SDLC as your way of working and AI as your main build lever.
Responsibilities
Own the solution end to end, from architecture to tested code running in production, using the agentic SDLC as the way of working
Architect and build the agentic solution: LLM integration through APIs, RAG, tool orchestration, orchestration and runtime frameworks, system prompts, and guardrails
Build and manage the context data pipelines (internal sources and vector databases) that feed the agents with reliable, high-quality inputs
Develop backend services and APIs in Python and the user-facing application in React
Build, customize, and reuse across the team your own agents, skills, subagents, commands, and harness that speed up development, instead of only consuming assistants
Requirements
Nice to have: Legacy code modernization (COBOL, Java, .NET)
Nice to have: Advanced RAG architectures
Nice to have: Knowledge graphs
Nice to have: LLM observability and evaluation tooling
Lead design, architecture, and delivery of Amazon Ads’ auto‑optimization platform, building agent execution engines, action layers, evaluation pipelines, and safety standards.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the auto‑optimization platform’s architecture and roadmap
Build agent execution engine and action layer for live campaigns
Set safety standards and audit trails
Develop offline and online evaluation pipelines
Prototype new system designs and agent patterns
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Nice to have: coding standards
Nice to have: code reviews
Custom Software Engineer
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
AI Engineer (Senior)CI&T · Remote, Brazil
Senior Software Development EngineerAmazon · New York, US+1 more