15 days ago
Boston, MA, USA +35 moreSenior
Base Salary
$133k - $338k/yr
Responsibilities
- Investigate agentic AI research topics including memory, knowledge persistence, inference routing, autonomy, long-horizon reliability, retrieval, and inference efficiency.
- Design production-relevant benchmarks and evaluation methodologies covering tool use, structured outputs, reasoning, instruction following, and failure recovery.
- Translate research findings into Python services, Node.js/TypeScript SDK modules, platform components, provider interfaces, and pluggable backends.
- Prototype and integrate routing policies, memory layers, agent controls, and other capabilities into observable production systems.
- Instrument prototypes with distributed tracing, cost accounting, and latency metrics, and ensure appropriate error handling, contracts, documentation, and test coverage.
- Collaborate with platform engineers, product managers, and enterprise architects; communicate findings to technical and non-technical stakeholders; and mentor junior engineers and researchers.
- Contribute to technical reports, external publications, conference submissions, engineering proposals, and client-facing sessions.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or an accepted equivalent experience alternative.
- At least 5 years of experience with Python and/or Node.js/TypeScript building and shipping production backend services, research prototypes, or AI/ML systems.
- At least 5 years of hands-on experience with AI or ML systems 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 evidence of shipping research into running systems.
- Preferred: deep experience in applied AI systems research, such as agent memory, inference efficiency, model routing, agentic evaluation, or autonomy research.
- Preferred: 3+ years of applied research and a record of prototypes, open-source contributions, internal frameworks, or peer-reviewed papers translated into integrated or published artifacts.
- Preferred: experience with async Python, FastAPI, asyncio, containerisation, Kubernetes, vector and relational databases, and OpenTelemetry.
- Preferred: familiarity with modern AI agent frameworks and agent communication protocols; a master’s or PhD is strongly preferred.
- Applicants must be local to or willing to relocate to the Mountain View, California area; travel may range from 0% to 100% based on business and client needs.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- The role requires onsite work in Mountain View, California and may require 0% to 100% travel depending on business 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.