Generative AI / Agentic AI Senior Engineer at Accenture

Cluj-Napoca, Cluj County, Romania

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

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
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 (e.g., model size, context limits, latency, and cost impact)
Ability to design and implement retrieval-augmented generation (RAG) pipelines for enterprise or domain-specific contexts
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
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, OpenTelemetry)
Exposure to CI/CD, model deployment pipelines, and cloud-based inference endpoints
Knowledge of agent frameworks (e.g., LangChain, AutoGen, CrewAI, LlamaIndex) and agent-based reasoning architectures (e.g., ReAct, 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

Responsibilities

Design, implement, and deploy Generative AI and Agentic AI solutions in modern cloud environments
Bridge the gap between AI model capabilities and real-world integration
Orchestrate LLMs, agents, data systems, and scalable infrastructure into intelligent, production-ready applications

Skills

Key technologies and capabilities for this role

PythonAPIsRESTGraphQLSQLPostgreSQLMySQLNoSQLMongoDBDynamoDBCosmosDBGitCI/CDLLMsGPTClaudeGeminiLlamaPrompt EngineeringRAGEmbedding ModelsVector DatabasesFAISSPineconeWeaviateChroma

Questions & Answers

Common questions about this position

What are the must-have core engineering skills for this role?

Proficiency in Python as the primary language for AI development, solid understanding of APIs, REST/GraphQL, and integration patterns, experience with SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, and familiarity with Git, testing, and CI/CD pipelines.

What Generative AI experience is required?

Hands-on experience using Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama, practical skill in prompt engineering including zero-shot, few-shot, chain-of-thought, and dynamic prompting, and understanding of tokenization, context windows, and model inference constraints.

Is remote work an option for this position?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Engineer position?

A strong candidate has a strong foundation in software development and applied AI systems, can bridge AI model capabilities with real-world integration, and excels in designing, implementing, and deploying Generative AI and Agentic AI solutions in cloud environments.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free