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JobsAccenture

AI LLM Technology Architecture Manager

Accenture

AI LLM Technology Architecture Manager

Accenture

·

On-site

·

Full-time

·

4d ago

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

Accenture

Public

Let 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