Full-Time
Senior AI Engineer
Reply
10,001+ employees
Consulting and system integration across sectors
Compensation Overview
$140k - $180k/yr
Chicago, IL, USA
Hybrid
Bachelor's
 AI & Machine Learning (2) |
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- Bachelor’s degree in computer science, artificial intelligence, data science, or a related field
- Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives
- 5 years of professional software engineering experience in Azure and Python
- 3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.
- 2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.
- Production experience with Azure AI platform, and the implementation of enterprise solutions
- Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models
- Implementing AI solutions through people, processes, and technology
- Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.
- Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives
- Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities
- Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential
- Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes
- Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation
- Professional software engineering experience in C#.net
- Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Developing cloud software services and an understanding of design for scalability, performance, and reliability in Azure
- Ability to support go-to-market content with technical support and present AI related research to customers and at events.
- Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes
Reply designs and implements solutions using new communication channels and digital media, operating as a network of specialized firms that together create business models enabled by big data, cloud computing, digital media, and IoT. It provides consulting, system integration, and digital services to clients in telecom and media, industry and services, banking and insurance, and the public sector. The company helps organizations adopt digital business models by combining advisory, technology services, and implementation to design architectures, deploy IoT and digital media solutions, and integrate them with existing systems. By being a network of specialists rather than a single vendor, it offers tailored, cross-domain solutions across multiple industries to help clients create value and transform operations.
Company Size
10,001+
Company Stage
IPO
Headquarters
Turin, Italy
Founded
1996
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Simplify's Take
What believers are saying
- H1 2026 turnover reached €1.312 billion, with EBITDA €233.2 million and positive cash.
- Microsoft named Reply an Agent 365 launch partner in April 2026.
- Reply's AI launches now span banking, manufacturing, procurement, HR, and content production.
What critics are saying
- Consulting commoditization hit Accenture and Cognizant; Reply faces the same AI pricing pressure.
- FedTec deepens exposure to U.S. federal procurement, security reviews, and budget-cycle delays.
- Microsoft, Mistral, and AWS can disintermediate Reply if clients buy platforms directly.
What makes Reply unique
- Reply's specialized network model drove €667.0 million Q2 2026 revenue, up 8.7%.
- FedTec adds U.S. federal clearances, defense customers, and a new growth wedge.
- Mistral Forge, Agent 365, and Model Factory position Reply as enterprise AI integrator.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%CEO Ramanjit Singh and the existing leadership team will continue to run FedTec.
Reply S.p.A. reported consolidated turnover of €1,311.9 million for the first half of 2026, marking a 7.4% increase compared to the same period in 2025. The Italian technology consulting firm's EBITDA reached €233.2 million, whilst EBIT stood at €189.7 million for the six-month period. The company's second quarter performance showed consolidated turnover of €667.0 million, up 8.7% year-on-year. Reply's net financial position was positive at €402.0 million as of 30 June 2026. Chairman Mario Rizzante attributed the results to growing corporate investments in AI initiatives. He noted that artificial intelligence has become integral to growth strategies, driving convergence of software, data, and domain expertise. Reply specialises in solutions based on digital media and emerging technologies, serving clients across telecommunications, industry, banking, insurance, and public sectors.
Comsysto Reply has partnered with Audi to develop an AI-based multi-agent system for the carmaker's Used Car Platform, a digital marketplace for B2B used car trading. Since 2025, the platform has accounted for nearly 100% of Audi's B2B business in this sector. The solution uses three specialised AI agents built on GitHub Copilot to handle requirements analysis, code generation, and quality assurance. The agents work with a dedicated knowledge base containing the platform's architectural decisions and specifications, enabling them to produce outputs consistent with existing systems. The system follows a human-in-the-loop model, with AI handling repetitive tasks whilst developers focus on review and validation. Comsysto Reply has supported the platform since 2021, beginning with migration from legacy systems to AWS-based architecture.
Reply has released a new set of Prebuilt AI Apps, production-ready agentic applications designed to accelerate enterprise AI adoption. The ready-to-use solutions combine process knowledge, curated datasets, domain ontologies and agentic workflows to deliver immediate operational value. The applications address key enterprise areas including credit evaluation, compliance assessment, manufacturing intelligence, HR processes, procurement and content production. They can be customised and integrated with existing enterprise systems whilst maintaining governance controls. Reply's Prebuilt AI Apps aim to help organisations transition from AI experimentation to scalable deployment by providing structured starting points that reduce initial complexity. The solutions automate recurring activities, improve decision-making through structured context and enhance user experience via conversational interfaces. The applications support industries including banking, critical infrastructure and manufacturing.
Reply has launched Model Factory, an industrial production line for building generative AI models grounded in corporate knowledge. The platform enables organisations to train AI models using their internal documentation, software repositories, business data and domain expertise within secure vaults. The factory industrialises data preparation, training, evaluation and deployment through a controlled lifecycle. Its training layer includes pre-training for domain awareness, supervised fine-tuning for specific tasks, reinforcement learning for policy alignment, and distillation for efficient deployment. Each model is released as a versioned enterprise asset with quality controls and EU AI Act compliance. Reply CEO Tatiana Rizzante said proprietary models will become key strategic differentiators, allowing companies to transform distinctive assets into governed AI models that remain under their control whilst enabling continuous improvement and specialisation.