1 day ago
Boston, MA, USA +35 moreSenior
Base Salary
$113k - $338k/yr
Responsibilities
- Investigate applied research problems in agent memory, knowledge persistence, inference routing, autonomy, evaluation, reliability, context management, and retrieval architectures.
- Design and execute production-relevant benchmarks covering tool use, structured output, reasoning, instruction following, and failure recovery.
- Translate research findings into production-grade Python services, Node.js/TypeScript SDK modules, and platform-integrated components.
- Build pluggable interfaces and backends for memory stores, retrieval layers, and routing modules.
- Prototype, validate, instrument, and integrate platform capabilities with tracing, cost accounting, latency metrics, error handling, documentation, and test coverage.
- Contribute to technical reports, publications, conference submissions, engineering proposals, and client-facing discussions.
- Collaborate with platform engineers, product managers, enterprise architects, and clients, and mentor junior engineers and researchers.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the stated equivalent work-experience alternatives.
- At least 5 years of experience with Python and/or Node.js/TypeScript building production backend services, research prototypes, or AI/ML systems.
- At least 5 years of hands-on experience with AI or ML systems, including areas such as large language models, agent frameworks, inference serving, or retrieval and memory architectures.
- Preferred: 6+ years of engineering experience spanning research and production, with demonstrated ability to ship research into running systems.
- Preferred: deep applied AI systems research experience and 3+ years of applied research translating findings into platform-integrated or published artifacts.
- Preferred: experience with async Python, FastAPI, asyncio, containerization, Kubernetes, vector and relational databases, and distributed tracing instrumentation such as OpenTelemetry.
- Preferred: familiarity with modern AI agent frameworks and agent communication protocols.
- Master's or PhD in Computer Science, Computer Engineering, or a related field is strongly preferred.
- Applicants must be local to or willing to relocate to the Mountain View, California area.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- The role requires working onsite in Mountain View, California.
- Travel may range from 0% to 100% depending on business needs and client requirements.
Tech Stack
Categories
AI ResearchBackend
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.