Role Description The Innovation and AI Solutions Engineer position is part of the firm’s Innovation Department. This position will be responsible for developing, optimizing and growing the firm’s corpus of innovation and AI solutions for both practice and enterprise side use cases, as well as optimizing data collection and flows across these solutions. The role will support our attorneys and staff with software development, low/no-code solutions, and data initiatives. The Innovation and AI Solutions Engineer is a self-directed, people-oriented employee who is comfortable supporting the development and data needs of the organization, including clients, attorneys, practice groups and administrative teams. Essential Duties, Responsibilities - Support innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools. - Build and maintain innovation and AI solutions alongside optimal data API and pipeline architectures. - Design, build and implement machine learning models, including the development of AI Models and prompts for various applications. - Collaborate with business users and technical teams to support and improve how data is collected, analyzed and reported throughout the organization. - Analyze users needs to determine business and data requirements, effectively applying technology to meet the firm’s strategic objectives. - Assemble and manage large, complex data sets that meet business and technical requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and improving infrastructure within assigned projects and data systems. - Build system infrastructure and processes for the efficient extraction, transformation, loading and integration of data to and from a wide variety of data sources using SQL, Power BI and Azure technologies. - Develop and/or apply analytics tools that utilize data pipelines to provide actionable insights into customer acquisition, operational efficiency, billing analytics, case outcomes, and other key business and legal practice performance metrics. - Ensure firm and client data security across multiple office locations, data centers, vendors and applications. - Develop data visualization and reporting tools to effectively convey meaningful insights from complex and diverse data sets. - Leverage statistics and computational techniques in problem solving. - Be familiar with common NLP and machine learning techniques. - Research and use applicable models in creative problem solving. - Work with GitHub and software version control. - Demonstrate the ability to efficiently and smartly document code and end-to-end processes. - Implement models in a production environment via custom API’s and enterprise solutions, such as Azure. Qualifications - Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS. - Experience building and optimizing API’s and data pipelines, architectures and data sets. - Strong analytic skills related to working with structured and unstructured datasets. - Ability to learn new tools and coding languages where required. - Ability to organize tasks and priorities under minimal supervision. - Experience performing root cause analysis on internal and external data, data integrations and processes to solve specific business problems and identify opportunities for improvement. - Experience developing processes that support data transformation, integrations, data structures, metadata, dependency and workflow management. - A successful history of manipulating, processing and extracting value from large, disconnected datasets. - Experience collaborating with cross-functional teams and stakeholders in a dynamic environment. - Ability to handle sensitive and confidential information responsibly. - Experience with AI/ML data preparation including feature engineering, data preprocessing, and dataset versioning for machine learning workflows. - Knowledge of data bias detection and mitigation techniques to ensure AI models are fair and representative across different legal contexts. - Experience with vector databases and embeddings for semantic search and retrieval-augmented generation (RAG) applications. Technological Proficiency - Expertise in applying the following technologies: SQL Server, T-SQL, SSIS & SSRS, Stored Procedures. - DataWarehousing experience - ETL & ELT. - PowerBI, Data Analysis Expressions (DAX). - Excel / PowerQuery. - Programming and scripting languages: Python, R, C++, Julia, Javascript, SQL. - API integration and development tools and scripting. - Extensive experience working with a variety of data file formats, such as JSON, XML, SQL. - Additional skills that would be highly advantageous include: PowerShell, Regular Expression (Regex), VBA, MS Access & Excel, Documentation & Process Mapping, Dynamic visualization tools, such as Microsoft Power BI, Tableau, Domo, etc. - Experience developing and applying machine learning models using Python, R, SQL and Azure Machine Learning. - Experience integrating legal industry, line-of-business applications, such as SharePoint, Aderant Financial System, Salesforce.com/CRM, NetDocs/DMS. - Large Language Model Integration: Experience with OpenAI API, Azure OpenAI, Anthropic Claude, or similar. - Embedding Models: Familiarity with sentence transformers, OpenAI embeddings, or domain-specific legal embeddings. - Law firm experience a plus. Requirements - 4+ years of experience in a Data Engineer/DataOps-DevOps role. - Bachelor's degree and/or graduate degree in Computer Science, Data Science, Data Analytics, Information Systems or equivalent discipline. - Experience with Microsoft SQL Server and related Microsoft data management and integration technologies. - Excellent verbal and written communication and interpersonal skills. Preferred - AI/ML Data Preparation Certification or equivalent coursework in machine learning data engineering. - Experience with legal technology platforms and understanding of legal workflow requirements. - Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) as they apply to AI systems in legal contexts. Benefits - Employee discounts - 401k - Health insurance - Dental insurance - Paid time off - Vision insurance - Flexible schedule - Tuition reimbursement - Life insurance - Retirement plan - Referral program - Flexible spending account - Health savings account - Parental leave - Professional development assistance - Employee assistance program

Role Description The Principal AI Solutions Engineer is a hands-on individual contributor responsible for designing, building, and deploying production-ready AI solutions, with a strong focus on AI agents that reason, use tools, and complete end-to-end business tasks. The Principal AI Solutions Engineer sits within the AI / Digital Center of Excellence (CoE) and partners across the enterprise to convert real workflows, SOPs, and decision logic into secure, scalable AI-driven solutions. The Principal AI Solutions Engineer blends deep engineering execution with a consulting mindset. You will work directly with business leaders to frame problems, identify value, and deliver AI agents that measurably improve speed, cost, quality, or cycle time. Success is defined by solutions shipped, adopted, and delivering impact, not slideware. The Principal AI Solutions Engineer has no people management responsibilities and is strongly build-first. Key Responsibilities - Re-imagine enterprise work with an AI-first mindset: Diagnose end-to-end processes and identify high-value workflows suitable for AI-driven transformation. - Process-to-agent translation: Map workflows, SOPs, controls, and decision logic; facilitate working sessions with business SMEs to decompose them into agent-friendly steps (reasoning, execution, validation, escalation, human-in-the-loop). - Consultative problem framing & value prioritization: Partner with business leaders to structure ambiguous problems, quantify impact, and translate them into clear AI solution hypotheses. - Build AI agents (hands-on): Develop agents using Python and modern agent frameworks to analyze information, follow procedures, call tools/APIs, and complete tasks end-to-end. - Integrate with enterprise systems: Build logic layers and integrations across APIs, workflow tools, data platforms, and approved enterprise data sources. - Deploy securely to production: Use enterprise AI platforms (e.g., Azure AI Foundry) with appropriate security, access controls, monitoring, and reliability practices. - Production quality & Responsible AI: Implement guardrails, observability, evaluation, and fallback mechanisms to ensure safe and reliable operation. - Operate in Agile delivery cycles: Manage work through backlogs, iterative releases, and measurable outcomes in close collaboration with IT, data, security, and platform teams. Qualifications - Bachelor’s degree in business, Engineering, Computer Science, Information Systems, or a related field; advanced degree preferred. - 5+ years of experience in software engineering, automation, process engineering, or related technical roles delivering production solutions. - 1+ year hands-on experience building with LLM APIs and/or agent frameworks (not just experimentation, shipping is preferred). - Experience operating in consulting-style or advisory roles, including problem structuring, executive communication, and influencing without authority. - Proven ability to translate ambiguous workflows into scalable enterprise solutions. - Strong communication skills to translate between business needs and technical implementation. Preferred Experience - Experience deploying solutions using enterprise AI platforms and services (e.g., Azure Foundry AI capabilities and deployment patterns). - Familiarity with a “model garden” approach (using multiple LLM providers/models through a unified platform) and selecting the right model for task quality, latency, and cost. - Experience in regulated, complex, or global enterprise environments; comfort operating with security/compliance constraints. - Background in process transformation, operational excellence, or management consulting style problem solving, including hypothesis-driven analysis and executive-level communication. Requirements - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. - For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000.00 and $190,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. - U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation. Company Description Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world—from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

• Design and build the AI Agent Builder, a low-code tool for creating, testing, and deploying AI agents • Integrate LLM inference and agentic capabilities into gaiia's existing Workflow Engine • Build reusable AI components used by other squads across the platform • Evaluate and integrate new model capabilities, tool-use patterns, and orchestration frameworks • Contribute to architectural decisions around prompt design, evaluation, guardrails, and observability for production AI systems • Design, develop and deploy GraphQL APIs for both internal and external use • Develop intuitive interfaces for non-technical users to build and manage their own AI agents

Role Description Join PwC Slovakia as a Junior AI Engineer, where you'll have the opportunity to grow your skills and contribute to AI and data science solutions for leading global clients. This role is designed for developers and engineers who want to build, integrate, and deploy machine learning systems and data-driven applications. We are looking for candidates who enjoy coding in Python, working with data, and turning ideas into reliable, scalable solutions. - Projects you could be involved in: - Natural Language Data Exploration: Develop dashboards powered by AI for intuitive business data analysis. - Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents. - Knowledge Assistant: Implement ERP transformation with AI-powered tools to resolve employee inquiries efficiently. - Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale. - Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers. - What You’ll Do: - Project Participation: Participate in AI and data science projects from conception to deployment, contributing to solution design and supporting timely delivery of assigned tasks. - Solution Development: Support the development of AI and ML solutions with a strong focus on Python-based implementation, working across areas such as Large Language Models (LLMs), RAG, classical machine learning and data analysis. - Learning & Development: Continuously develop technical skills by following AI and data science trends, learning new approaches, and contributing to improvements of existing solutions and processes. Qualifications - Solid programming skills in Python (e.g. pandas, numpy, scikit-learn, plotly). - Hands-on academic, project, or entry-level experience with machine learning, data science, NLP, Computer Vision, or Generative AI (LLMs, RAG). - Basic experience with SQL databases; familiarity with NoSQL databases is an advantage. - Strong analytical mindset with the ability to approach problems logically and creatively. - Ability to work independently on assigned tasks and deliver results with guidance when needed. - Fluent in English (B2 level or higher). Requirements - Ability to write and understand code is essential. - Experience with other programming languages is a plus. - Strong foundations in statistics and ML fundamentals are valued. Benefits - Work format: Remote or in a comfortable office in Lviv - you choose. - Development: Personal development plan, mentoring, English and Polish language courses. - Stability: Official employment from day one, annual review of salary and career prospects. - Corporate culture: Events that unite the team and a space where everyone can be themselves.