AI Technical Lead

WE ARE

SoftServe 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 ARE

• A seasoned AI professional with 6+ years of delivering impactful AI/ML solutions and leading small, high-performing technical teams

• A recognized expert in at least two AI/DS domains — such as Computer Vision, NLP, Speech Recognition/DSP, Social Network Analysis, Predictive Maintenance, or Recommender Systems

• Deeply experienced in Generative AI and agentic workflows, with hands-on implementation skills

• Skilled at translating complex AI concepts into clear, actionable insights for non-technical stakeholders

• An 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 potential

• Versed in accurate project estimation and delivering on schedule in complex AI projects

• Confident in using English at an upper-intermediate level or above

AND YOU WANT TO

• Lead and inspire small, high-caliber teams of Data Scientists and ML Engineers by breaking down complex problems, guiding decisions, and setting a bold technical vision

• Deliver production-ready AI systems that solve high-complexity problems with measurable impact ensuring every solution meets the highest technical standards

• Partner with stakeholders to turn business challenges into robust, scalable AI solutions, improving performance, maintainability, and reliability

• Oversee the full AI development lifecycle — from concept and prototype to deployment, operationalization, and continuous improvement

• Mentor and elevate talent, embedding best practices in AI development, MLOps, and engineering excellence

• Build trusted client relationships, uncover innovation opportunities, and represent the company’s expertise through thought leadership — including technical publications and case studies

TOGETHER WE WILL

• Be 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 value

• Have 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 environments

• Communicate with the world-leading companies from our logos portfolio

• Enjoy the opportunity to work with the latest modern tools and technologies on various projects

• Participate in international events and get certifications in cutting-edge technologies

• Have access to powerful educational and mentorship programs

• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise