What you'll do
- Build LLM and agentic applications using LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
- Develop multi-agent workflows covering planning, reasoning, tool calling, memory, approvals, and human-in-the-loop controls
- Implement secure agent ecosystems via MCP, A2A, APIs, event-driven patterns, and enterprise integration layers
- Create RAG and GraphRAG pipelines using vector databases, hybrid search, metadata filtering, and document processing
- Design guardrails and evaluation frameworks for safe, accurate, explainable, and production-ready AI outputs
- Develop REST APIs and microservices exposing LLM capabilities to downstream systems and business applications
- Build intelligent document processing, conversational assistants, automated reporting, and workflow automation solutions
Key requirements
- Strong Python skills and familiarity with FastAPI, Django, Java, or Node.js
- Hands-on experience with LLM applications, agentic systems, RAG pipelines, multi-agent workflows, GenAI automation, and AI copilots
- Knowledge of agentic concepts including tool use, planning, reasoning, memory, human-in-the-loop, guardrails, and workflow orchestration
- Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel
- Skills in building APIs, microservices, enterprise integrations, and reusable AI components
- Proficiency with Docker, Kubernetes, CI/CD, and GitHub Actions or GitLab CI
- Computer Science / Engineering / Artificial Intelligence / Data Sciencepreferred
Benefits
- Competitive salary and benefits, including life/health insurance, performance-based bonuses, monthly vouchers, company car (depending on level), flexible work arrangements, share purchase plan, parental leave and various corporate discounts.
- Continuous training & development through global platforms & local academy.
- Career coaching, mentorship, and diverse, inclusive culture.
- Opportunities for corporate citizenship and extra relocation benefits under Brain Regain initiative.
About the job
At Accenture Newra AI Hub, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives.
You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most.
Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation.
You’ll work at the frontier of human-and-machine delivery, designing and shipping production-grade LLM and agentic applications for a leading bank. You’ll build agent workflows, RAG pipelines, tool-calling patterns, secure integrations, and AI-assisted delivery practices that turn frontier model capabilities into measurable business impact. You’ll work across product, engineering, architecture, and business teams to move agentic solutions from prototype to production.
What you'll build
LLM and agentic applications using LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks, wired into banking systems
Multi-agent workflows covering planning, reasoning, tool calling, memory, approvals, and human-in-the-loop controls
Secure agent ecosystems via MCP, A2A, APIs, event-driven patterns, and enterprise integration layers
RAG and GraphRAG pipelines using vector databases, hybrid search, metadata filtering, and document processing
Guardrails and evaluation frameworks for safe, accurate, explainable, and production-ready outputs
REST APIs and microservices exposing LLM capabilities to downstream systems and business applications
Intelligent document processing, conversational assistants, automated reporting, and workflow automation solutions
Qualification
What we need
B.Sc. M.Sc. or equivalent experience in CS, Engineering, AI, Data, or related field
Strong Python skills, with FastAPI / Django, Java or Node.js a plus
Hands-on experience with LLM applications and agentic systems, including RAG, multi-agent workflows, GenAI automation, and AI copilots
Deep understanding of agentic concepts: tool use, planning, reasoning, memory, HITL, guardrails, and workflow orchestration
LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar agent frameworks
Experience building APIs, microservices, integrations, and reusable components for enterprise-grade AI applications
Docker, Kubernetes, CI/CD, GitHub Actions / GitLab CI
Comfortable validating and improving AI-generated code using AI copilots and vibe-coding workflows
Nice to have:
MCP and A2A hands-on experience; Azure AI Foundry deployments
Observability: LangSmith, Langfuse, W&B, MLflow, or similar tooling
GraphRAG, reliability patterns for agentic systems, and regulated environments
Experience with banking, compliance, loan origination, customer insights, or operational automation use cases
What's in it for you
Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts
Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
Career coaching and mentorship to help you manage your career and develop professionally
Ongoing strength and skill-based evaluation process
Various opportunities to develop your career across a spectrum of clients, industries and projects
Diverse and inclusive culture
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
Under our Brain Regain initiative, extra relocation benefits may apply


