채용
Required Skills
React
Node.js
AWS
Angular
GCP
Azure
Role Overview:We are seeking an experienced and forward-thinking Principal AI Program Manager to lead the design, development, and deployment of cutting-edge AI solutions for our clients. In this senior consulting role, you will combine deep technical expertise with client-facing leadership, driving innovation through GenAI while maintaining a strong foundation across broader AI/ML and full-stack engineering. You will architect scalable, secure, production-grade AI systems, support pre-sales engagements, and play a pivotal role in shaping our growing AI engineering practice.
This is a strategic role for someone who thrives at the intersection of technology, delivery, and client advisory—and who is excited to build the next generation of intelligent applications using GenAI and beyond.
Key Responsibilities:
Client Delivery – Generative AI & Full-Stack AI Solutions
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Lead the delivery of advanced AI applications, with a strong focus on Generative AI (LLMs, embeddings, RAG, prompt engineering, agents, etc.).
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Architect and implement scalable GenAI systems—combining LLM orchestration, model integration, data pipelines, and secure APIs.
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Work across the full stack, developing intuitive front-end experiences and robust back-end services to support AI capabilities.
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Collaborate with client data scientists, product managers, and engineering teams to align solutions with business outcomes.
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Ensure production-readiness, including performance optimization, observability, security, and maintainability of AI applications.
Key Skills & Experience:
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10+ years in software engineering, with extensive experience in AI/ML application development and recent hands-on delivery of GenAI-based solutions.
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Deep knowledge of Generative AI technologies—LLMs, vector databases, RAG pipelines, prompt design, fine-tuning, orchestration tools (e.g., Lang Chain, Haystack, Flowise), and cloud GenAI services (e.g., AWS Bedrock, Azure OpenAI, Vertex AI).
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Full-stack proficiency including front-end frameworks (React, Angular) and back-end (Node.js, Django, Flask) development.
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Strong cloud architecture skills (AWS, GCP, Azure), including MLOps/DevOps experience for deploying and scaling AI solutions in production.
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Proven ability to work with both technical and non-technical stakeholders, translating business requirements into AI solution architecture.
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Domain experience in Insurance is highly desirable
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Experience in consulting or professional services, with strong pre-sales, proposal writing, and client advisory skills.
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Demonstrated leadership in building teams, scaling delivery, and contributing to IP/assets that grow a consulting practice.
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
Equal Employment Opportunity Statement for New Zealand:
At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.
As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
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About Accenture

Accenture
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10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
M3
M4
M5
M6
M3 · Program Manager M3
0 reports
$152,370
total / year
Base
$60,948
Stock
$76,185
Bonus
$15,237
$106,659
$198,081
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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