Job description

We Are: We are at the forefront of a new era in enterprise AI — one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale. Our Data & AI practice brings together more than 45,000 professionals helping clients design, deploy, and govern AI systems across regulated industries. Our applied research function sits at the intersection of frontier AI research and production engineering — investigating the foundational challenges that will determine whether enterprise agentic AI succeeds or stalls. You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems research and production platform engineering. You investigate hard, open problems in agentic AI — and you close the loop: turning research findings into engineered prototypes, then into platform-ready capabilities that real workloads depend on. You are a strong Python engineer who can move fluently between an experiment and a well-structured service or SDK module. You write research artefacts and production code in the same week, and you understand why both matter. The Work: Applied Research & Innovation: Investigate active innovation frontiers in agentic AI systems — for example, agent memory and knowledge persistence architectures, model selection and inference routing strategies, autonomy and goal-anchoring control planes, and long-horizon task reliability. The specific focus areas evolve with client demand and research opportunity. Design and execute rigorous benchmarking and evaluation methodologies scoped to production-relevant agentic task profiles — covering dimensions such as tool use, structured output generation, multi-step reasoning, instruction following, and failure recovery. Investigate efficiency and scalability frontiers — such as inference cost reduction, context management at scale, and retrieval architecture design — that determine whether agent workloads can be served commercially on attainable hardware. Contribute to external publications, technical reports, and conference submissions that establish thought leadership and build the evidence base for client and platform decisions. Translational Engineering: Translate research findings into production-grade implementations: engineered Python services, Node.js/TypeScript SDK modules, or platform-integrated components that other engineers and agent workloads depend on. Build well-defined provider interfaces and pluggable backends for research components — memory stores, retrieval layers, routing modules — so that experimental implementations can be iterated on and swapped independently of the platform code that depends on them. Prototype and validate platform-level capabilities — such as inference routing policies, memory management layers, or agent control mechanisms — and carry them through from experiment to integrated, observable system component. Instrument research prototypes with observability from the start — distributed tracing, cost accounting, and latency metrics — so findings are reproducible and platform integration is low-friction. Platform Contribution & Integration: Work alongside platform engineers to integrate validated research capabilities into production systems — contributing well-tested, documented Python and Node.js/TypeScript code through standard engineering workflows including code review, CI, and schema validation. Identify platform gaps surfaced by research experiments — missing APIs, insufficient observability, constrained interfaces — and raise them as concrete, scoped engineering proposals. Ensure that research-derived capabilities meet production standards: correct error handling, sensible defaults, documented contracts, and test coverage appropriate to their risk profile. Collaboration & Communication: Work closely with platform engineers, product managers, and enterprise architects to align research priorities with real client deployment blockers and platform roadmap needs. Communicate research findings, architectural trade-offs, and prototype results clearly to both technical peers and non-technical stakeholders — in written artefacts, design reviews, and client-facing sessions. Mentor junior engineers and researchers on experimental methodology, translational engineering practices, and production-quality code standards. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite in Mountain View, CA. Applicants must be local or willing to relocate to Mountain View area prior to joining. Here s what you need Bachelor s degree (or equivalent minimum 12 years work experience, or minimum 6 years work experience with Associate s degree) in Computer Science, Computer Engineering, or a related field. Minimum of 5 years of experience with Python and/or Node.js/TypeScript, building and shipping production backend services, research prototypes, or AI/ML systems. Minimum of 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. Bonus points if you have 6 years of engineering experience across both research and production contexts, with a demonstrated ability to ship research into running systems. Deep experience in at least one area of applied AI systems research — such as agent memory and knowledge management, inference efficiency and model routing, agentic evaluation methodology, or long-horizon task and autonomy research. 3 years of applied research with a track record of translating findings into platform-integrated or published artefacts — prototypes, open-source contributions, internal frameworks, or peer-reviewed papers. Hands-on experience with async Python (e.g. FastAPI, asyncio), containerisation and Kubernetes, vector and relational databases, and distributed tracing instrumentation (e.g. OpenTelemetry). Familiarity with modern AI agent framework ecosystems and agent communication protocols — the specific tools matter less than the ability to work across multiple frameworks and evaluate them critically. Master s or PhD in Computer Science, Computer Engineering, or a related field is strongly preferred. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $132,500 to $338,300 Colorado $132,500 to $292,200 Connecticut $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maine $112,900 to $249,000 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Ohio $122,700 to $270,600 Virginia $122,700 to $311,200 Washington $141,100 to $311,200 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the  Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company s legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Requirements

Must-haves

Contribute to external publications, technical reports, and conference submissions that establish thought leadership and build the evidence base for client and platform decisions.
Translate research findings into production-grade implementations: engineered Python services, Node.js/TypeScript SDK modules, or platform-integrated components that other engineers and agent workloads depend on.
Instrument research prototypes with observability from the start — distributed tracing, cost accounting, and latency metrics — so findings are reproducible and platform integration is low-friction.
Identify platform gaps surfaced by research experiments — missing APIs, insufficient observability, constrained interfaces — and raise them as concrete, scoped engineering proposals.
Ensure that research-derived capabilities meet production standards: correct error handling, sensible defaults, documented contracts, and test coverage appropriate to their risk profile.
Work closely with platform engineers, product managers, and enterprise architects to align research priorities with real client deployment blockers and platform roadmap needs.
Communicate research findings, architectural trade-offs, and prototype results clearly to both technical peers and non-technical stakeholders — in written artefacts, design reviews, and client-facing sessions.
Mentor junior engineers and researchers on experimental methodology, translational engineering practices, and production-quality code standards.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
This role requires working onsite in Mountain View, CA. Applicants must be local or willing to relocate to Mountain View area prior to joining.
Here s what you need
Bachelor s degree (or equivalent minimum 12 years work experience, or minimum 6 years work experience with Associate s degree) in Computer Science, Computer Engineering, or a related field.
Minimum of 5 years of experience with Python and/or Node.js/TypeScript, building and shipping production backend services, research prototypes, or AI/ML systems.
Minimum of 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.
6 years of engineering experience across both research and production contexts, with a demonstrated ability to ship research into running systems.
3 years of applied research with a track record of translating findings into platform-integrated or published artefacts — prototypes, open-source contributions, internal frameworks, or peer-reviewed papers.
Hands-on experience with async Python (e.g. FastAPI, asyncio), containerisation and Kubernetes, vector and relational databases, and distributed tracing instrumentation (e.g. OpenTelemetry).
Familiarity with modern AI agent framework ecosystems and agent communication protocols — the specific tools matter less than the ability to work across multiple frameworks and evaluate them critically.
California $132,500 to $338,300
Colorado $132,500 to $292,200
Connecticut $132,500 to $292,200
District of Columbia $141,100 to $311,200

Nice-to-haves

Bonus points if you have
Master s or PhD in Computer Science, Computer Engineering, or a related field is strongly preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonnode.jstypescriptmlkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off