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채용Accenture

Conversational AI Engineer

Accenture

Conversational AI Engineer

Accenture

Vilnius

·

On-site

·

Full-time

·

2d ago

We’re looking for an experienced Conversational AI Engineer to help us design and build intelligent, enterprise-grade AI solutions — from chatbots and voicebots to GenAI-powered agents and Retrieval-Augmented Generation (RAG) systems.

If you’re excited about shaping the future of automated customer experience, this role gives you the opportunity to work with cutting-edge AI tools, cloud-native architectures, and large-scale enterprise environments.

What do we offer:

  • Competitive salary 3300 - 5200 EUR gross

  • Flexible vacation + health & travel insurance

  • Hybrid work model: flexible hours with the possibility to combine office and remote work.

  • Work with Fortune 500 companies from different industries all over the world

  • Skills development and training opportunities, company-paid certifications

  • Opportunities to advance career

  • An open-minded and inclusive company culture

Main responsibilities(Conversational AI–Focused)

  • Design, develop, and maintain Conversational AI applications, including chatbots, voicebots, and GenAI-driven virtual agents.
  • Build and optimize conversation flows, intents, prompts, and AI orchestration logic across leading platforms (e.g., Cognigy, Dialogflow CX, Teneo, Watson).
  • Implement Retrieval-Augmented Generation (RAG) architectures, including vector stores, embeddings, and knowledge integrations.
  • Develop clean, well-tested, maintainable code for backend services, integrations, and custom AI logic.
  • Integrate AI solutions into large enterprise ecosystems, ensuring security, performance, and reliability.
  • Collaborate closely with client architecture and engineering teams to define solution patterns, architecture, and best practices.
  • Work in an Agile development team, participating in sprints, planning, code reviews, and continuous delivery.

Requirements:

Technical Expertise

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Strong expertise in JavaScript/TypeScript, HTML, and JSON; experience with Python is a plus.
  • 2+ years of experience with Conversational AI orchestration platforms, e.g., Cognigy.AI, Teneo, IBM Watson, Google Dialogflow CX, MS Bot Framework, etc.
  • Understanding of RAG architectures, including vector databases and embedding models.
  • Proficiency in Prompt Engineering, conversation design, and AI-driven optimization.
  • Strong understanding of AI/ML concepts and digital customer experience patterns.
  • Experience working with REST APIs, microservices, and scalable backend development.
  • Experience with SQL/NoSQL databases.
  • Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.

Cloud & Infrastructure

  • Hands-on experience with Azure cloud services (mandatory), including Azure Functions and Azure Foundry
  • Familiarity with other cloud platforms (AWS, GCP) is a plus.
  • Experience with Docker, packaging, CI/CD pipelines, and version control (Git).
  • Understanding of data engineering principles, data pipelines, and working with large datasets (cleaning, transformation, manipulation).

Soft Skills

  • Strong analytical thinking and creative problem-solving abilities.
  • Good communication skills for collaborating with cross-functional and client teams.
  • Fluent English (written and spoken).

Bonus

  • Cognigy.AI Certification is considered a strong advantage.

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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Accenture 소개

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

직원 수

Dublin

본사 위치

$139B

기업 가치

리뷰

3.6

9개 리뷰

워라밸

2.8

보상

3.5

문화

3.2

커리어

3.8

경영진

3.0

65%

친구에게 추천

장점

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

단점

High levels of politics

Long hours and stress

Slow moving processes

연봉 정보

20개 데이터

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L2 · Data Scientist L2

0개 리포트

$14,221

총 연봉

기본급

$5,688

주식

$7,111

보너스

$1,422

$9,955

$18,487

면접 경험

6개 면접

난이도

2.8

/ 5

소요 기간

14-28주

합격률

17%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit