Jobs
Benefits & Perks
•Healthcare
•Learning
Required Skills
Python
TensorFlow
PyTorch
Skill required: Tech for Operations
- Technology Architecture
Designation: AI LLM Technology Architecture Manager
Qualifications: Any Graduation **Years of Experience:**13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.
Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.
Visit us at www.accenture.com
What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Process of development of methodical information technology specifications, models and guidelines,
using a variety of Information Technology notations. Estimating, architecting, implementing, testing, assessing and selling Technology Architectures, including but not limited to all the ADM Technology Architecture work-stream activities and deliverables, covering the required blueprint & roadmap, analysis, design, build, test and deploy phases.What are we looking for? We are seeking a highly experienced and visionary AI/ML Computational Science Manager to lead the design and implementation of cutting-edge technology architectures for advanced AI/ML solutions, with a strong focus on Agentic AI use case development. This role will bridge the gap between computational science, AI/ML engineering, and technology architecture, driving the development of scalable, robust, and innovative AI-powered systems.
Strong programming proficiency in Python or C# with relevant AI/ML libraries (Num Py, Pandas, Scikit-learn, Tensor Flow, Py Torch, ML.NET).
Deep understanding of machine learning algorithms (regression, classification, clustering, deep learning).
Experience with data preprocessing, feature engineering, model selection, and hyperparameter tuning.
Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
Strong knowledge of software architecture principles, including microservices and distributed systems.
Knowledge of Big Data processing frameworks like Spark or Hadoop.
Soft Skills:
Excellent communication, collaboration, and leadership skills.
Ability to translate complex technical concepts into clear and concise language. ?
Desired Qualifications:
Experience with MLOps practices (CI/CD for ML models, model monitoring, and deployment).
Experience with natural language processing (NLP) or computer vision applications.
Experience with Agentic AI concepts. Roles and Responsibilities: •Architecture Design & Strategy:
Define and implement the overarching AI/ML technology architecture, ensuring alignment with business goals and Agentic AI initiatives.
Select and evaluate appropriate AI/ML frameworks (Tensor Flow, Py Torch, Scikit-learn, ML.NET) and cloud platforms (AWS, Azure, GCP) based on project requirements and computational efficiency.
Design scalable data pipelines for efficient data ingestion, processing, feature engineering, and model training.
Develop and implement model deployment strategies, including cloud-based deployment and edge computing solutions.
Establish architectural standards and best practices for AI/ML development.
Computational Science & Model Optimization:
Apply computational science principles to optimize AI/ML models for performance, accuracy, and efficiency.
Collaborate with data scientists to translate complex algorithms into efficient software implementations.
Develop and implement model monitoring and evaluation strategies to ensure continuous improvement.
System Integration & Deployment:
Oversee the integration of AI/ML models into existing applications and APIs, ensuring seamless data flow and user experience.
Design and implement robust monitoring and logging systems to track model performance and identify potential issues.
Lead the deployment of AI/ML solutions to production environments, ensuring scalability and reliability.
Technical Leadership & Mentorship:
Provide technical leadership and guidance to the AI/ML development team.
Stay abreast of the latest advancements in AI/ML technologies and computational science, and identify opportunities for innovation.
Mentor junior developers on AI/ML concepts, implementation techniques, and architectural best practices.
Promote MLOps best practices within the team.
Any Graduation
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
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
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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
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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