AI Technical Lead

WE ARESoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993. With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts — including data scientists, research analysts, MLOps engineers, ML and LLM architects — we cover the full AI lifecycle, from problem framing to deployment.In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.We also lead Gen AI Lab — our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI. In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.IF YOU AREA seasoned AI professional with 6+ years of delivering impactful AI/ML solutions and leading small, high-performing technical teamsA recognized expert in at least two AI/DS domains — such as Computer Vision, NLP, Speech Recognition/DSP, Social Network Analysis, Predictive Maintenance, or Recommender SystemsDeeply experienced in Generative AI and agentic workflows, with hands-on implementation skillsSkilled at translating complex AI concepts into clear, actionable insights for non-technical stakeholdersAn expert in ML tools, libraries, and platforms with a proven record of deploying production-grade AI systems, and advanced in cloud AI/ML services (AWS, GCP, Azure, NVIDIA) beyond provisioning, leveraging managed ML services and model pipeline components to their full potentialVersed in accurate project estimation and delivering on schedule in complex AI projectsConfident in using English at an upper-intermediate level or aboveAND YOU WANT TOLead and inspire small, high-caliber teams of Data Scientists and ML Engineers by breaking down complex problems, guiding decisions, and setting a bold technical visionDeliver production-ready AI systems that solve high-complexity problems with measurable impact ensuring every solution meets the highest technical standardsPartner with stakeholders to turn business challenges into robust, scalable AI solutions, improving performance, maintainability, and reliabilityOversee the full AI development lifecycle — from concept and prototype to deployment, operationalization, and continuous improvementMentor and elevate talent, embedding best practices in AI development, MLOps, and engineering excellenceBuild trusted client relationships, uncover innovation opportunities, and represent the company’s expertise through thought leadership — including technical publications and case studiesTOGETHER WE WILLBe part of a team that's shaping the future of AI and data science through innovation and shared growth.Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business valueHave access to world-class training, cutting-edge research, and collaborate with top industry partners.Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise