Gen AI / ML Engineer (Semantic Kernel) at Accenture

Warsaw, Woj. Mazowieckie, Poland

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Professional Services, Data & AIIndustries

Requirements

  • Strong Python programming background
  • Expertise in Semantic Kernel
  • Knowledge of Azure Data Factory (ADF) for pipelines and document processing
  • Familiarity with Docker, Azure Kubernetes Service (AKS), and Azure Container Apps (ACA)
  • Understanding of vector databases and indexing techniques

Responsibilities

  • Build and optimize AI agents using Semantic Kernel as the primary framework
  • Implement multi-agent orchestration workflows and containerized deployments using Docker
  • Design and manage data ingestion pipelines for document processing, indexing, vectorization, and Retrieval-Augmented Generation (RAG)
  • Collaborate with cross-functional teams to deliver scalable AI solutions
  • Stay enthusiastic about professional growth, proactive in skill enhancement, and motivated to embrace new opportunities while contributing to innovative AI solutions

Skills

Semantic Kernel
AI agents
ML
multi-agent orchestration
Docker
data ingestion pipelines
document processing
indexing
vectorization
RAG
Retrieval-Augmented Generation

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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