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채용Accenture

AI Software Native Senior Engineer

Accenture

AI Software Native Senior Engineer

Accenture

Madrid; Barcelona

·

On-site

·

Full-time

·

2d ago

Accenture Technology**:**

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com.

We are**:**

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are**:**

An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work**:**

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities**:**

  • Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
  • AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
  • Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
  • Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
  • Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
  • Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What You Need**:**

  • 14+ years of overall professional experience, with a strong engineering background.
  • Minimum 10 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
  • Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production.
  • Minimum 7 years of experience with AI platforms (OpenAI, Claude, Vertex AI, open-source models), including multi-provider abstraction layers.
  • Minimum 10 years of programming experience in Python, Java, or equivalent.
  • Strong experience with CI/CD, infrastructure as code (Terraform, Helm), monitoring, logging, and debugging in production environments.
  • Proven experience leading client discussions, technical workshops, and delivery in ambiguous environments.

Bonus Points If**:**

  • AI certifications or experience with advanced agentic tooling.
  • Prior experience as an Agentic AI Engineer in an enterprise setting.
  • Experience designing compound AI systems, orchestration frameworks, or agent registries.
  • Strong understanding of AI-native architecture principles, combining cloud-native and generative AI design patterns.
  • Experience delivering AI solutions across multiple industries.

Why Join Us**?**

  • We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
  • You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
  • Flexible work arrangements and a range of benefits including competitive rewards
  • You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
  • You will also have opportunities to make a difference to the communities in which we work and live

Next Steps**:**

If this sounds like the ideal role, career and company for you, click to apply.

To learn more about life @Accenture Middle East, follow us on social media and keep up with our latest news.

Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube

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

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

L2 · Business Analyst L2

0개 리포트

$63,830

총 연봉

기본급

$25,532

주식

$31,915

보너스

$6,383

$44,681

$82,979

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