Role Description Data annotation for egocentric data. - You'll do this by: Qualifications - Core Skills: - Desired Skills: Requirements - How we’d like you to lead: Benefits - Advantage Zensar Company Description We are a technology consulting and services company with 11,800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity. - Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. - Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans’ status. - Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. - We put our people and customers at the center of everything that we do. - Our core values include: - Putting people first - Client-centricity - Collaboration - Grow. Own. Achieve. Learn. with Zensar

• Diseño e implementación de prompts para modelos de lenguaje (LLMs), incluyendo técnicas de prompt chaining, evaluación y mejora iterativa. • Colaboración interdisciplinaria con ingenieros y stakeholders para garantizar outputs de IA interpretables y alineados al negocio. • Integración de IA en arquitecturas de software, aplicando principios de diseño y buenas prácticas de ingeniería.

• Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed. • Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. • Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality. • Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities. • Work primarily with the “Revenue” organisation, Sales, BDR, Customer Success, Solutions Engineering, Professional Services, Sales Operations and Marketing (approximately 75% of the role), and apply proven solutions and approaches more broadly across the organisation (approximately 25%). • Engage stakeholders to gather business requirements, then go further: identify the underlying user pain those requirements represent, and design solutions that address both the stated need and the deeper problem. • Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover. • Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions. • Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems. • Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed. • Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production. • Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production. • Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions. • Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards. • Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption. • Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js. • Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive. • Provide product feedback to the development team to improve the platform. • Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.

Role Description The Conversational AI Engineer (CAI) is responsible for developing and deploying Conversational AI solutions: chatbots and voicebots, using LLMs, Agentic AI, and NLU models. This role manages technical implementations and integrations across environments, ensuring compliance with standards and best practices. It combines expertise in prompt engineering, knowledge base structuring, and system integration to enable end-to-end automation and continuous improvement. The CAI Engineer also ensures safe and reliable model behavior, performs fine-tuning, proactive monitoring, and performance optimization, and oversees STT/TTS configuration and maintenance to guarantee high-quality voice and seamless telephony integration. Job Responsibilities - Implement system integrations for seamless automation across platforms - Engineer prompts and structure knowledge bases to ensure accurate and context-aware responses - Ensure safe and reliable AI model by implementing safeguards and governance measures - Configure and maintain STT/TTS systems, ensuring high-quality voice performance and seamless telephony integration - Document architectures, configurations, and deployment processes to maintain transparency and reproducibility - Collaborate with cross-functional teams and work with developers, data analysts, product teams, and business stakeholders to align AI solutions with organizational goals - Apply Agentic AI knowledge to design frameworks and provide implementation-focused recommendations - Create best practices for hybrid bots with NLU and LLM Qualifications - Fluent in written and spoken English AND German (C1 level minimum) - 5+ years experience with LLM voicebots - Experience with machine learning and deep learning frameworks - Knowledge of data preprocessing, feature engineering, and data pipelines - Experience with AI models for chatbots or voicebots - Experience with model evaluation, tuning, and deployment - Knowledge of conversational AI platforms for chatbot and voicebot development (Cognigy a plus) - Experience with speech technologies: STT (speech-to-text) and TTS (text-to-speech) systems - Model deployment and integration skills, including APIs and system integrations - Ability to monitor, evaluate, and optimize AI models for performance, scalability, and reliability - Understanding of AI safety, bias mitigation, and ethical practices in conversational AI - Ability to document architectures, configurations, and deployment procedures clearly - Collaboration skills to work with product, engineering, and UX teams Benefits - Be at the forefront of CX transformation, working with leading BOT/ AI technologies, specially Genesys delivery - Work with global clients across the U.S. and EMEA, delivering cutting-edge solutions in a fast-paced, dynamic environment - Collaborate with a talented team of experts in AI, automation, performance, and agent tools to deliver exceptional results - Drive business success by managing multiple projects and clients simultaneously, with opportunities to showcase your leadership and problem-solving skills - Grow professionally by working on complex, high-visibility projects while honing your technical, project management, and client relationship skills Company Description Foundever® is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we’re the team behind the best experiences for +800 of the world’s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.