Experienced AI Professional
About the job
- A bachelor's, master's, or PhD in computer science, data science, engineering, or a related field is required.
- A strong background in artificial intelligence, machine learning, deep learning, and statistical modeling, with hands-on experience using tools such as PyTorch and TensorFlow, is required.
- Experience and understanding of core deep learning and generative AI architectures and technologies are required.
- Proficiency in programming languages such as Python, Java, or C++ is required.
- Ability to architect solutions built on technologies underlying large language models and generative AI applications, including open-source models, Azure OpenAI, Amazon, and Anthropic, is required.
- Ability to architect AI solutions in cloud platforms such as Azure, Google Cloud, Amazon Web Services, and Cloudera is required.
- Prompt engineering, interaction with open-source and general-purpose AI systems, and implementation of basic AI or generative AI solutions such as retrieval-augmented generation are required.
- Experience working with RESTful APIs and general microservice-oriented architectures is required.
- A solid understanding of data structures, algorithms, and software development principles is required.
- Strong analytical, problem-solving, and critical-thinking skills are required.
- Strong written and verbal communication, presentation, client service, and technical writing skills in English for technical and business audiences are required.
- The ability to continuously learn AI-related skills and stay current with technology trends through initiatives such as courses, certifications, competitions, or projects is required.
- The ability to work under tight timelines and manage parallel project deliveries is required.
- Willingness and ability to travel and work abroad for international projects is required.
- Design and develop AI algorithms, models, and systems using tools such as PyTorch and TensorFlow for real-world applications.
- Keep up with advancements in AI technologies, including generative AI and new features of popular tools.
- Collaborate with cross-functional teams to understand requirements and develop AI solutions.
- Collect, clean, and preprocess data using appropriate tools and libraries to ensure compatibility with AI algorithms and frameworks.
- Train, test, and evaluate predictive AI models using appropriate evaluation metrics.
- Architect AI- and generative AI-enabled solutions for real-world problems.
- Build and develop AI and generative AI solutions for real-world problems, such as retrieval-augmented generation question-answering systems.
- Architect and build agentic AI systems and Model Context Protocol services for real-world problems.
- Optimize and fine-tune models for performance, scalability, and efficiency.
- Implement and deploy AI solutions in production environments using different frameworks.
- Build applications and use appropriate prompting on generative AI models.
- Stay abreast of emerging AI trends and technologies.
- Work with multidisciplinary teams in the AI and Data team of the Technology Consulting practice to support client AI, generative AI, and multi-agent initiatives and produce useful, actionable insights.
- Take responsibility in challenging client engagements across sectors in Greece and abroad.
- Convey technical advice and guidance to clients.
- Experience with generative AI, transformers, deep learning, large language models such as GPT variants or open-source models such as LLaMA, image-generation systems such as DALL-E, Stable Diffusion, or MidJourney, speech transcription tools such as Whisper or enterprise tools from Microsoft, Google, or Amazon, and video-generation tools such as Sora.
- Finetuning or distilling large language models or other predictive or generative AI models is a plus.
- Programming GPU-based computing infrastructure for training optimization using CUDA or the NVIDIA software stack is a plus.
- A desire to investigate and try new tools and technologies as they are released.
About the company
EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.
Company Size
5,001-10,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Boston, Massachusetts
Founded
1991
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Simplify's Take
What believers are saying
- EY.ai Agentic for Sales launched March 2, 2026 with Snowflake and Canva.
- EY uses client-zero deployments, scaling Copilot across 400,000 people by May 2026.
- EY’s 2026 AI assurance push monetizes client demand for governance, controls, and risk reviews.
What critics are saying
- Sabah filed RM2.4 billion audit-negligence claims against EY on July 30, 2026.
- EY set aside £188 million in March 2026 after NMC, Shell, and Made.com scrutiny.
- Repeated audit failures can destroy trust, trigger client defections, and shrink the franchise permanently.
What makes Ernst & Young unique
- EY Canvas processes 1.4 trillion journal-entry lines across 160,000 global audits.
- EY-Microsoft invested US$1b+ in May 2026 to industrialize enterprise AI delivery.
- EY launched agentic audit AI on April 7, 2026, spanning Assurance and AI assurance.
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Benefits
Professional Development Budget
Flexible Work Hours
Remote Work Options
Company News
EY added nearly 10,000 staff globally in its 2026 financial year as AI-related revenue surged almost 50%. The Big Four firm's workforce reached 415,000, with most growth concentrated in global delivery services and offshoring centres. The Americas division saw headcount decrease by roughly 4,500, or 5%. Overall global revenue rose 4.7% to $57 billion. EY-Parthenon was the fastest-growing service line, with revenue increasing 7.4% to $6.8 billion, marking a turnaround after two years of minimal growth. Tax revenue rose 6% to $13.8 billion, whilst consulting grew 4.4% to $17.4 billion. The results reflect EY's "All-In" strategy under global chair Janet Truncale, with billions invested in transforming operations and AI services.
An Ernst & Young study found US oil and gas producers reached record production in 2025 while becoming more selective with investments. The analysis of 30 major exploration and production companies, representing 43% of US oil and gas output, showed oil production hit a study-period high, yet reserve additions from extensions and discoveries declined 11% year over year and failed to fully replace production volumes for the first time since 2021. Total capital expenditures fell 49% year over year, whilst M&A spending declined 70%. Exploration spending dropped 11% to $4.8 billion, representing only 3% of total capital expenditures. Natural gas showed stronger fundamentals, with production rising 18%, reserves increasing 14%, and discoveries up 21%.
Ernst & Young's US division is allocating $100 million this fiscal year to bonus payments rewarding employees who demonstrate adaptability, innovation, and judgement. Individual spot awards reach $500, whilst employees or teams making significant contributions can receive between $10,000 and $25,000, five times the previous programme's ceiling. The initiative also covers AI experimentation. "What we recognise signals what we value," said Ginnie Carlier, chief talent and culture officer for EY Americas. The bonuses form part of a broader strategy to reshape employee development across all career levels. Other professional services firms are pursuing similar approaches. KPMG restructured its audit internship this summer to emphasise critical thinking, whilst PwC US introduced training combining AI proficiency with human qualities like empathy. EY reported AI-related revenue grew 30% year-over-year in 2025.
EY-Parthenon has acquired SparkOptimus, a Dutch digital strategy consultancy founded in 2010. The Amsterdam-based firm employs around 50 consultants and specialises in AI transformation, digital business model redesign and technology-driven transformation. SparkOptimus founders Alexandra Jankovich and Tom Voskes, both former McKinsey consultants, said joining EY-Parthenon will create significant value for clients and staff whilst providing access to broader capabilities. The acquisition marks EY-Parthenon's first European deal since 2021. EY-Parthenon, established in 2014, is EY's strategy consulting and transactions advisory business with around 25,000 professionals globally. Mark Reich, Partner at EY-Parthenon Netherlands, said SparkOptimus' expertise will complement existing capabilities in the Dutch market. The deal closes on 1 September 2026. Financial terms were not disclosed.
The UK Government has awarded a contract worth up to £456 million to KPMG and EY to train civil servants, the Financial Times reported, citing government procurement tracker Tussell. Under the arrangement, the firms will train officials across various skills areas, including AI, between 2026 and 2028. KPMG's share is capped at £319 million, representing almost a quarter of its total UK advisory net sales from last year. EY's portion is worth £137 million, equivalent to around 13% of its UK consulting revenue. The deal is the largest single contract awarded to Big Four companies since Tussell started tracking records in 2012. The previous record was a £322 million deal between the Foreign Office and PricewaterhouseCoopers in 2012.