Site Reliability | DevOps Engineer

ARE YOU READY to step into the
New Era (NewRA)
of
AI-driven banking
?

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.

What You 'll Build
You'll help shape how the bank evaluates, adapts, and optimizes LLM and SLM capabilities for enterprise use cases. You'll work on model selection, benchmarking, fine-tuning patterns, prompt and retrieval optimization, and cost-performance improvements across AI solutions, building the evaluation rigor and optimization patterns that improve reliability, safety, latency, and measurable business impact.

Responsibilities:

• Model evaluation and benchmarking frameworks for LLM, SLM, and agentic AI use cases

• Model selection recommendations based on accuracy, latency, cost, safety, explainability, and operational constraints

• Fine-tuning, LoRA / PEFT, prompt optimization, and retrieval optimization experiments for priority business use cases

• Distillation and model compression proof points where smaller or more efficient models can deliver sufficient performance

• Evaluation datasets, test harnesses, golden-answer sets, and regression testing routines for AI applications

• Observability dashboards and quality feedback loops covering model performance, hallucination risk, drift, cost, and user feedback

• Target-state patterns for open-weight or self-hosted LLM adoption, including architecture, governance, and operational readiness consideration

What We Need

• B.Sc. M.Sc. or equivalent experience in CS, Engineering, AI, Data Science, Machine Learning, or related field

• Strong Python skills, hands-on experience in ML/LLM engineering & production-grade AI experimentation

• Good understanding of LLMs, SLMs, open-weight models, model families, context windows, token economics, latency, accuracy, and cost trade-offs

• Experience with model evaluation, benchmarking, test sets, quality metrics, regression testing, and human evaluation workflows

• Hands-on exposure to fine-tuning, LoRA / PEFT, prompt optimization, retrieval optimization, or model adaptation techniques

• Familiarity with RAG, GraphRAG, embeddings, vector search, retrieval quality improvement

• Experience with MLflow, W&B, LangSmith, Langfuse, or similar experiment tracking and observability tools

• Comfortable working with engineering teams to translate model insights into production-ready AI patterns

Nice to have:

• Experience with Hugging Face, PyTorch, transformers, quantization, model compression, or distillation

• Awareness of self-hosted / open-weight LLM architecture, deployment, monitoring, and governance considerations

• Experience with Azure AI Foundry, Azure ML, Databricks, or enterprise AI platforms

• Understanding of regulated environments, model risk, Responsible AI, data privacy, and banking compliance requirements

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

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

Are you ready to be a part of the digital reinvention of industry and revolutionize your career?
In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.

That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.

Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations.

WORK YOU’LL DO
As part of Accenture
Data & AI
practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.

As an
AI Foundational Model Specialist
, you will:

• Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows.

• Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, drive prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning and interact with both open-source & general-purpose AI systems.

• Collaborate with other AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).

• Work with Data & AI Architects to create solid architecture of AI products.

• Optimize AI application for performance and accuracy.

• Coach and mentor Junior AI engineers to develop multiple components of the AI applications.

WHO WE´RE LOOKING FOR?

• B. Sc. and MSc. or PhD in Computer Science, Engineering, or related fields

• Minimum 2 years of hands-on programming experience in the field of AI, NLP, Machine Learning, Deep Learning, and related disciplines

• Demonstrated proficiency in multiple programming languages such as Python, Java, or C++

• Experience working with Generative AI, Transformers, Deep Learning, Large Language Models (LLMs) as GPT, Bard or LLaMA, Image generative AI systems as DALL-E, Stable Diffusion or MidJourney

• Experience with core Deep Learning & Generative AI principles, including fine-tuning, prompt-engineering, interacting with both open-source & general-purpose AI systems. Familiarization with computing infrastructure (i.e. GPU systems for training optimization) will be considered a plus

• Knowledge of architecting/operating solutions built on the core technologies underlying LLMs and Generative AI applications (open-source, Azure Open AI, Amazon BedRock…)

• Experience working with RESTful API and general microservice-oriented architectures.

• Demonstrated commitment to learn about AI and continuously stay up-to-date on technology trends, through your own initiatives, online courses, competitions, or side projects

Preferred Qualifications

• Ability to think creatively to solve real world business problems

• Ability to work in a global collaborative team environment

• Familiarity with relational and NoSQL databases

• Familiarity with cloud services related to AI/ML

• Experience leading a team of Data/AI engineers in real-world environments and integrating AI/ML and other services into large-scale production applications

WHAT´S IN IT FOR YOU?

• Competitive benefits, including a fair and balanced parental leave policy.

• 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.

• Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.

• Fantastic opportunities to develop your career across a variety of clients.

• Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

We’re a team that transforms vision into tech-enabled reality. We look for those who see technology not just as tools or platforms, but as the invisible infrastructure behind strategy, performance, and growth. We transform bold ideas into scalable, secure, and human-centered solutions. Our AI Strategy practice is PwC Greece’s dedicated centre of excellence for AI advisory, with a dual mandate: serving as the cross-functional AI hub that helps every PwC department deliver AI-powered solutions to clients and operating as an independent service line providing end-to-end AI strategy, governance, and compliance services.

SHAPING TOMORROW
Make a real impact, today, and tomorrow, through work that matters. Here, you will tackle today’s toughest challenges with a future-focused mindset; so our clients turn to us first when it matters most.

Make a real impact
In this dynamic environment, we are looking for a Senior Manager to serve as the AI Solution Architect and Presales Lead within our AI Strategy practice. This is a high-impact, client-facing role at the intersection of AI expertise, solution design, and commercial development. You will be the primary point of contact for PwC Greece departments seeking to bring AI-powered solutions to their clients - translating ambiguous business needs into compelling, technically sound, and commercially viable AI propositions.

This role is the commercial engine of the AI Strategy practice, the person who turns opportunity into revenue by connecting AI capabilities to real client problems, fast.

• Act as the cross-functional AI advisory hub: receive, qualify, and respond to AI-related client needs from all PwC Greece service lines (Tax, Assurance, Advisory, Deals, Consulting, Legal).
• Co-design AI solutions at an architectural level- approach, technology stack, delivery model, and resource requirements for diverse client contexts.
• Lead client-ready proposals, solution decks, and pricing models.
• Present AI solutions to clients alongside originating department partners, demonstrating PwC’s full AI capability.
• Build and manage the AI opportunity pipeline in collaboration with the Director, AI Strategy.
• Develop solution templates, use case playbooks, and qualification frameworks that accelerate response time, informed by ongoing evaluation of AI vendor and cloud platforms (Azure AI, Google Cloud AI, AWS).
• Coordinate with the AI Delivery team on smooth handover of implementation projects, and contribute to thought leadership that positions PwC Greece as a leading AI advisory firm.
• Mentor managers and senior associates within the practice, supporting their commercial development.

What You Bring Matters

• MBA or advanced degree in Computer Science, Engineering, Business, or Data Science.
• 10-14 years of professional experience, with at least 5 in AI/digital/data strategy consulting, technology advisory, or AI solution architecture.
• Proven presales, solution design, or “solutioning” experience in a consulting firm, technology company, or systems integrator.
• Architectural-level command of AI/ML: GenAI/LLMs, predictive analytics, NLP, computer vision, intelligent automation, MLOps. You don’t need to code, but you need to know what’s feasible and how solutions are structured.
• Existing network within the Greek or Southeast European enterprise market.
• Familiarity with the EU AI Act and emerging AI regulations.
• Track record of shaping and selling engagements in the €100K–€1M+ range.
• Excellent executive presence- able to engage C-suite executives, department partners, and technical teams with equal effectiveness.
• Working knowledge of major AI and cloud platforms and their respective capabilities.
• Fluent in English; Greek strongly preferred.

BRING YOUR BEST, EVERYDAY
Your skills, integrity, and curiosity make the difference. At PwC Greece, we match that with an environment that brings out your best every day – supported by people who inspire, challenge, and grow with you.

About
What we offer goes beyond a competitive package. It’s about creating the conditions for you to learn, belong, and deliver impact. That means:

• Your work life-balance supported by a hybrid working model
• Your creativity sparked in collaborative office spaces
• Your career growing through local and global opportunities
• Your development advanced with continuous learning and professional certifications
• Your well-being cared for with extra leave days and wellness initiatives
• Your perspective valued in an inclusive team where your impact matters

Want to unlock new value by applying your unique perspective and talents? At PwC Greece, you lead by example. Our standards for quality and care are high – and together we surpass them. We redefine possibilities for our clients and communities.

Challenge accepted?
Our circle of connection matters - it’s at the heart of what we do. Click here (PwC life)

All applicants will be acknowledged and treated in the strictest confidentiality.

ARE YOU READY to step into the
New Era (NewRA)
of
AI-driven banking
?

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.

What You 'll Build
You'll help shape how the bank evaluates, adapts, and optimizes LLM and SLM capabilities for enterprise use cases. You'll work on model selection, benchmarking, fine-tuning patterns, prompt and retrieval optimization, and cost-performance improvements across AI solutions, building the evaluation rigor and optimization patterns that improve reliability, safety, latency, and measurable business impact.

Responsibilities:

• Model evaluation and benchmarking frameworks for LLM, SLM, and agentic AI use cases

• Model selection recommendations based on accuracy, latency, cost, safety, explainability, and operational constraints

• Fine-tuning, LoRA / PEFT, prompt optimization, and retrieval optimization experiments for priority business use cases

• Distillation and model compression proof points where smaller or more efficient models can deliver sufficient performance

• Evaluation datasets, test harnesses, golden-answer sets, and regression testing routines for AI applications

• Observability dashboards and quality feedback loops covering model performance, hallucination risk, drift, cost, and user feedback

• Target-state patterns for open-weight or self-hosted LLM adoption, including architecture, governance, and operational readiness consideration

What We Need

• B.Sc. M.Sc. or equivalent experience in CS, Engineering, AI, Data Science, Machine Learning, or related field

• Strong Python skills, hands-on experience in ML/LLM engineering & production-grade AI experimentation

• Good understanding of LLMs, SLMs, open-weight models, model families, context windows, token economics, latency, accuracy, and cost trade-offs

• Experience with model evaluation, benchmarking, test sets, quality metrics, regression testing, and human evaluation workflows

• Hands-on exposure to fine-tuning, LoRA / PEFT, prompt optimization, retrieval optimization, or model adaptation techniques

• Familiarity with RAG, GraphRAG, embeddings, vector search, retrieval quality improvement

• Experience with MLflow, W&B, LangSmith, Langfuse, or similar experiment tracking and observability tools

• Comfortable working with engineering teams to translate model insights into production-ready AI patterns

Nice to have:

• Experience with Hugging Face, PyTorch, transformers, quantization, model compression, or distillation

• Awareness of self-hosted / open-weight LLM architecture, deployment, monitoring, and governance considerations

• Experience with Azure AI Foundry, Azure ML, Databricks, or enterprise AI platforms

• Understanding of regulated environments, model risk, Responsible AI, data privacy, and banking compliance requirements

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

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.