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AI LLM Technology Architecture Manager

Accenture

AI LLM Technology Architecture Manager

Accenture

·

On-site

·

Contract

·

3d ago

Compensation

$120,640 - $141,440

Benefits & Perks

401k

Healthcare

Required Skills

React

TypeScript

Python

Skill required: Tech for Operations

  • Artificial Intelligence (AI)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?**As a Seniority Level 7 Agentic Architect at Accenture—equivalent to Manager—you’ll be responsible for leading the design and rollout of autonomous AI solutions built on agentic architectures to solve complex business problems. Your duties involve building scalable and intelligent agents powered by generative AI, integrating these systems with enterprise platforms, and working closely with teams across different disciplines. You’ll ensure that your solutions support client objectives, manage deployments in dynamic environments, mentor junior colleagues, help shape strategic direction, and oversee projects to guarantee AI implementations are ethical, secure, and efficient.**What are we looking for? Your duties involve building scalable and intelligent agents powered by generative AI, integrating these systems with enterprise platforms, and working closely with teams across different disciplines. You’ll ensure that your solutions support client objectives, manage deployments in dynamic environments, mentor junior colleagues, help shape strategic direction, and oversee projects to guarantee AI implementations are ethical, secure, and efficient.
Strong analytical and problem-solving abilities.

Excellent communication and leadership skills, with a proven track record of project ownership.

Passion for innovation and staying current with evolving AI technologies.
Bachelor s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is required.

Master s degree in Machine Learning, AI, or a quantitative discipline is preferred.

  • Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are considered advantageous.
  • Roles and Responsibilities: •Work with generative AI technologies, including large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents. Design and implement multi-agent systems to address complex, multi-step problems using collaborative approaches. Deploy scalable AI solutions leveraging leading cloud platforms such as AWS, Azure, and Google Cloud, integrating with APIs and external tools. Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes. Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems. Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization. Core Technical Skills 1.????????? Software Architecture & System Design ????????????? Microservices and modular architecture ????????????? Event-driven and message-passing systems ????????????? Scalability, reliability, and fault tolerance design 2.????????? AI & LLM Foundations ????????????? Understanding large language models (LLMs) and multimodal models ????????????? Prompt engineering and structured prompting Knowledge of fine-tuning, embeddings, and retrieval-augmented generation (RAG) 3.?Agentic Orchestration ????????????? Frameworks like Lang Chain, Crew AI, Semantic Kernel,Langgraph ??????????? Multi-agent coordination strategies (collaboration, delegation, planning, negotiation) ???????????? Workflow orchestration (DAGs, state machines, planners) 4.Tool Integration ??????? API design and integration for agent tooling ????????????? Connecting agents with databases, APIs, and enterprise systems ????????????? Knowledge of vector databases ( cloud or on prem) 5?????? Infrastructure & MLOps ??????? Deployment & Scaling ????????????? Cloud platforms (AWS, Azure, GCP) ????????????? Containerization & orchestration (Docker, Kubernetes) ????????????? Serverless and edge AI architectures 6.????????? Monitoring & Observability ????????????? Logging, tracing, and monitoring agent behavior ????????????? Feedback loops for continuous improvement ????????????? Guardrails, evaluation frameworks, and human-in-the-loop systems

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

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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