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Generative AI / Agentic AI Senior Engineer

Accenture

Generative AI / Agentic AI Senior Engineer

Accenture

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Flexible Hours

Learning Budget

Remote Work

Mental Health

Healthcare

Flexible Hours

Learning

Remote Work

Mental Health

Required Skills

Python

APIs

REST

GraphQL

SQL

NoSQL

Git

CI/CD

LLMs

Prompt Engineering

RAG

Vector Databases

Docker

Kubernetes

Cloud Platforms

Agent Frameworks

About us

Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide.

We’re looking for a senior engineer with a strong foundation in software development and applied AI systems who can design, implement, and deploy Generative AI and Agentic AI solutions in modern cloud environments.
The ideal candidate will bridge the gap between AI model capabilities and real-world integration — orchestrating LLMs, agents, data systems, and scalable infrastructure into intelligent, production-ready applications.

What you need to succeed:

Core Engineering Fundamentals (Must-Have)

  • Proficiency in Python as the primary language for AI development.

  • Solid understanding of APIs, REST/GraphQL, and integration patterns.

  • Experience working with databases — both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, CosmosDB).

  • Familiarity with version control (Git), testing, and CI/CD pipelines for automated deployments.

Generative AI Foundations

  • Hands-on experience using Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama.

  • Practical skill in prompt engineering (zero-shot, few-shot, chain-of-thought, and dynamic prompting).

  • Understanding of tokenization, context windows, and model inference constraints — i.e., how model size, context limits, latency, and cost impact runtime behavior and system design.

  • Ability to design and implement retrieval-augmented generation (RAG) pipelines for enterprise or domain-specific contexts.

Data & Knowledge Systems

  • Familiarity with embedding models and vectorization techniques for semantic search, context retrieval, and personalization.

  • Experience using vector databases such as FAISS, Pinecone, Weaviate, Chroma or similar

  • Competence in data preprocessing, indexing, and pipeline optimization for large-scale text or multi-modal data.

Cloud Infrastructure & MLOps

  • Experience deploying AI workloads on cloud platforms (e.g., Azure, GCP, AWS, or private cloud).

  • Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI services.

  • Understanding of infrastructure-as-code tools (e.g Terraform, Pulumi or CloudFormation) and monitoring/observability frameworks (Prometheus, Grafana, Open Telemetry).

  • Exposure to CI/CD, model deployment pipelines, and cloud-based inference endpoints.

Agentic AI & Orchestration

  • Knowledge of agent frameworks (e.g., Lang Chain, Auto Gen, CrewAI, Llama Index) and agent-based reasoning architectures — systems where LLMs can plan, act, and collaborate through structured reasoning loops (e.g., Re Act, planner–executor, or multi-agent designs).

  • Experience integrating LLMs with tools, APIs, and knowledge bases to enable autonomous or semi-autonomous workflows.

  • Ability to design multi-agent systems that coordinate task planning, execution, and evaluation.

Advanced nice to have skills

  • Familiarity with fine-tuning, LoRA, or adapter-based customization for domain-specific model behavior.

  • Understanding of embedding optimization, context compression, and persistent memory architectures for long-running agents.

  • Experience with distributed inference, GPU optimization, or scalable API serving for LLM-backed systems.

  • Awareness of evaluation metrics for LLM performance, hallucination control, and reasoning consistency.

  • Experience designing multi-modal systems combining text, image, or structured data reasoning.

Your life at Accenture

At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.

Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.

The position is available exclusively for collaboration under an individual working contract (CIM).

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, sexual orientation, gender identity or expression, 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

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

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