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AI/LLM Architecture (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles

AI/LLM Architecture (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles
·
On-site
·
Full-time
·
4d ago
Benefits & Perks
•Healthcare
•401k
Required Skills
Python
Machine Learning
Data Architecture
- Architect and implement scalable AI and machine learning models and systems that align with business goals.
- Oversee the integration of AI models into existing systems, ensuring seamless deployment and functionality.
- Evaluate and select appropriate AI tools, technologies, and frameworks to meet project requirements.
- Design data pipelines and workflows for efficient data collection, preprocessing, and storage.
- Work closely with data scientists, engineers, and other stakeholders to define AI architecture strategies.
- Optimize AI models and systems for performance, scalability, and reliability.
- Ensure AI systems comply with security standards and regulatory requirements.
- Create and maintain comprehensive documentation of AI architecture, design decisions, and workflows.
- Stay up-to-date with the latest AI trends and technologies, and apply innovative solutions to business problems.
- Provide guidance and mentorship to junior team members on AI architecture best practices.
- Engage with clients to understand their business needs and provide expert guidance on AI strategy and implementation.
- Build and maintain strong relationships with clients, acting as a trusted advisor for their AI initiatives.
- Tailor AI solutions to meet specific client requirements and industry standards.
- Support business development activities by identifying opportunities for AI projects and contributing to proposal development.
For All Levels:
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
- Strong understanding of AI and machine learning principles.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with AI frameworks and libraries (e.g., Tensor Flow, Py Torch, Scikit-learn).
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
- Experience in a consulting role, engaging with clients to deliver AI solutions.
- Candidates with exceptional experience will be considered irrespective of years of experience.
Consultant Level
- Min. 4 years of experience in AI architecture or related roles.
- Demonstrated ability to design and implement AI models and systems.
- Experience with data integration and model deployment.
- Proficiency in creating and managing data pipelines.
- Experience in client-facing roles, understanding client needs, and delivering tailored solutions.
Manager/Associate Manager Level
- Min. 6/8 years of experience in AI architecture or related roles.
- Proven experience in leading and managing AI projects and teams.
- Strong project management skills, with the ability to manage multiple projects simultaneously.
- Demonstrated experience in evaluating and selecting AI technologies and frameworks.
- Ability to work with cross-functional teams and drive project alignment.
- Experience in developing client relationships and providing strategic AI consulting.
Senior Manager Level:
- Min. 10 years of experience in AI architecture or related roles.
- Extensive experience in designing and implementing large-scale AI systems.
- Proven leadership skills with experience in managing large AI teams and complex projects.
- Strong strategic thinking and the ability to align AI architecture with business goals.
- Experience in mentoring and developing junior team members.
- Demonstrated ability to drive innovation and apply cutting-edge AI technologies to solve business problems.
- Significant experience in consulting, with a track record of delivering successful AI projects and building long-term client relationships.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com
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.
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About Accenture

Accenture
PublicLet there be change.
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
4.0
75%
Recommend to a Friend
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
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
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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