Quick Summary
Design enterprise AI prompts and conversational experiences. Develop and maintain Atlassian Rovo Agents. Build AI-powered knowledge assistants and workflow automations.
Requirements
~2 min readDesign, optimize, and govern enterprise AI experiences using Atlassian Rovo and LLMs. This role combines prompt engineering, knowledge orchestration, AI agent development, and workflow automation to deliver secure, accurate, and scalable AI capabilities that improve productivity and decision-making.
- Minimum of 5 years of experience in a technical role involving AI/ML systems, NLP, conversational AI, or knowledge management — with at least 2 years working directly with LLMs
- Minimum of 2 years of hands-on prompt engineering experience, including designing, testing, and iterating prompts for enterprise use cases across one or more LLM platforms (e.g., OpenAI, Anthropic, or similar)
- Minimum of 2 years' experience helping enterprise clients design, adopt, or govern AI-powered tools, knowledge systems, or automation workflows
- Minimum of 2 years' experience of demonstrating building or configuring AI agents, virtual assistants, or chatbot experiences — including tool-use, knowledge grounding, and persona design
- Minimum of 2 years of experience with knowledge management systems (e.g., Confluence, SharePoint, or similar) and ability to curate and structure enterprise content to improve AI output quality
- Minimum of 2 years of experience and proven ability to evaluate AI system performance, identify failure modes, and drive iterative improvement through structured testing and stakeholder feedback
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience
Responsibilities
~1 min read- →
Design enterprise AI prompts and conversational experiences.
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Develop and maintain Atlassian Rovo Agents.
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Build AI-powered knowledge assistants and workflow automations.
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Curate enterprise knowledge to improve AI-generated responses.
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Establish prompt libraries, standards, and governance processes.
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Evaluate and optimize AI performance using quantitative and qualitative metrics.
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Collaborate with product owners, solution architects, AI engineers, and business stakeholders.
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Promote AI adoption and prompt engineering best practices across the organization
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Nice to Have
~2 min read- Hands-on experience with Atlassian Rovo — including agent configuration, knowledge connector setup, action/tool integration, and conversation design
- Familiarity with Atlassian Intelligence features across the product suite (Jira, Confluence, JSM) and how they interact with Rovo agents and enterprise knowledge
- Experience designing Rovo agent personas, scoping knowledge access, and establishing behavioral guardrails appropriate for enterprise deployment
- Ability to integrate Rovo agents with enterprise workflows via Atlassian automation, APIs, or third-party connectors
- Advanced proficiency in prompt engineering techniques including chain-of-thought reasoning, few-shot and zero-shot prompting, role prompting, structured output formatting, and retrieval-augmented generation (RAG) patterns
- Ability to design prompts that are robust to input variation, resistant to prompt injection, and aligned to enterprise governance requirements
- Experience with systematic prompt evaluation — including A/B testing, rubric-based scoring, and automated regression testing for prompt quality
- Familiarity with token economics, context window management, and latency/cost tradeoffs in production LLM deployments
- Working knowledge of model differences across leading LLM providers and ability to select or recommend appropriate models for specific enterprise use cases
- Experience auditing, structuring, and curating enterprise knowledge bases (e.g., Confluence) to improve AI retrieval accuracy and reduce hallucination risk
- Ability to establish and maintain prompt governance frameworks — including versioning, change control, approval workflows, and usage monitoring
- Familiarity with AI safety, responsible AI principles, and enterprise compliance requirements as they apply to LLM-powered applications
- Experience defining and tracking AI performance KPIs including response quality scores, deflection rates, task completion rates, and user satisfaction
- Ability to facilitate AI discovery workshops with business stakeholders to surface use cases, prioritize opportunities, and define measurable success criteria
- Experience developing prompt engineering playbooks, usage guidelines, and training materials to scale AI literacy across non-technical teams
What We Offer
~4 min readVisit 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.
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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.
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Location & Eligibility
Listing Details
- Posted
- September 25, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 30, 2026
Signal breakdown
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