Lead Python AI Engineer at Accenture

Cluj-Napoca, Cluj County, Romania

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Expert-level backend development in Python
Hands-on experience with LLMs, vector databases, and AI orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack)
Modern front-end skills (e.g., React, Next.js, Vue)
Strong knowledge of cloud platforms (AWS, Azure, GCP)
Experience with DevOps/AIOps, containers, orchestrators, and infrastructure-as-code (e.g., Terraform, CDK, Pulumi)
Ability to guide technical direction, mentor teammates, and uphold engineering excellence
Track record of designing scalable, reliable, production-ready AI systems
Senior full-stack engineering expertise, particularly in building scalable REST APIs (FastAPI, Flask, Django)

Responsibilities

Provide technical leadership and mentorship to an AI engineering team, shaping architecture, best practices, and delivery standards
Own the end-to-end development of AI-powered applications, including backend APIs, front-end integrations, and advanced GenAI workflows
Design and build scalable, production-grade REST APIs in Python (FastAPI, Flask, Django) and integrate them with modern web interfaces (React, Next.js, Vue)
Architect LLM- and agent-based systems using frameworks such as LangChain, LlamaIndex, and Haystack, focusing on reliability, safety, and performance
Develop and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus) to support retrieval-augmented intelligence at scale
Apply advanced prompt engineering, fine-tuning, and adaptation techniques (LoRA, PEFT, instruction tuning) to elevate model reasoning, accuracy, and controllability
Deploy, scale, and monitor AI workloads on cloud platforms (AWS, Azure, GCP) using containers, orchestrators, and infrastructure-as-code (Terraform, CDK, Pulumi)
Implement DevOps and AIOps best practices, ensuring strong observability, CI/CD automation, and production reliability for AI systems
Write clean, maintainable, and well-tested code across the stack, championing code quality and engineering excellence

Skills

Key technologies and capabilities for this role

PythonFastAPIFlaskDjangoReactNext.jsVueLangChainLlamaIndexHaystackPineconeWeaviateFAISSMilvusRAGprompt engineeringLoRAPEFTREST APIs

Questions & Answers

Common questions about this position

What skills are required for the Lead Python AI Engineer role?

The role requires expert-level backend development in Python, hands-on experience with LLMs, vector databases, and AI orchestration, along with modern front-end skills, cloud deployment, DevOps/AIOps practices, and technical leadership.

What does the team environment look like at Accenture Industry X?

The team is a fast-moving, cross-functional group where engineering, design, and strategy continuously intertwine, focusing on innovative AI projects with cutting-edge technology and collaboration with exceptional people.

Is this a remote position or does it require office work?

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 Lead Python AI Engineer position?

A strong candidate is a senior AI Full-Stack Engineer and technical leader with deep Python expertise, experience in LLMs, vector databases, AI orchestration, front-end skills, cloud, DevOps, and the ability to provide technical leadership and mentorship.

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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