ML/LLM Technical Architect

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 AREEducated with a degree in Computer Science or a related fieldExperienced in a similar position, including 2+ years of design and implementation of enterprise-scale AI/ML solutions in the AWS cloud using services such as Amazon SageMaker, AWS Bedrock, Amazon Kendra, AWS Glue, AWS Data Pipelines, Amazon Kinesis, Amazon Athena, and Amazon RedshiftDesigning sustainable, scalable, and secure architectures, performing trade-off analysis of different architecture tactics and patterns, and applying proven architecture design approaches and methodologies, with a focus on GenAI and LLM-based solutionsDriving project roll-outs from requirements gathering to go-live and continuous improvementSkilled in designing, building, or operationalizing Agentic AI systems, with hands-on experience leveraging frameworks like Amazon Bedrock Agents to create autonomous and goal-oriented GenAI solutionsConfident in customer-facing tasks related to discovery, assessment, execution, and operations for complex AI/ML/GenAI projectsDriving project roll-outs from requirements gathering to go-live and continuous improvementKnowledgeable of EKS/ECS platforms and their design patterns for ML workloadsConfident upper-intermediate English speakerResponsible for AI principles and practices, including model explainability, fairness, and security for GenAI (nice to have)Experienced in pre-sales, enterprise consulting, or AI/ML advisory roles (would be a plus)AND YOU WANT TOEngage in a wide scope of AI and ML-related work, from foundational machine learning projects to advanced Generative AI applicationsBring your deep expertise in cloud architecture, DevOps, and MLOps/LLMOps to analyze and recommend enterprise-grade solutions for operationalizing the full spectrum of AIDevelop end-to-end MLOps/LLMOps pipelines on AWS, leveraging an in-depth understanding of the platform, the entire AI lifecycle, and business problems to ensure solutions are delivered efficiently, predictably, and sustainablyPrototype and demonstrate innovative solutions, including proof-of-concepts for diverse AI/ML use cases and specific GenAI applications, for clients in customer environmentsDevelop assets, accelerators, and reusable components for your practice, covering both established AI/ML methodologies and emerging GenAI and LLMOps spaceCommunicate use cases, technical requirements, architectural decisions, and expectations clearly with stakeholders at all levelsGuide Engineering and Data Science teams on the production lifecycle of ML systems, including best practices for building, deploying, and monitoring traditional ML models and LLM-powered applicationsEducate product teams on best practices for reliably and responsibly putting ML systems into production, including innovative GenAI featuresOperationalize our clients’ AI solutions, from traditional ML to cutting-edge Generative AI applications, by leveraging best practices in Machine Learning, DevOps, LLMOps, and Solution ArchitectureMaintain synergy among Data Scientists, DevOps teams, and ML EngineersBuild robust infrastructure, set up efficient processes, productize machine learning and GenAI pipelines, and integrate them seamlessly into existing business environmentsTOGETHER WE WILLParticipate in international events, conferences, and workshops to share our expertise and learn from the global AI communityGet certifications in cutting-edge technologies and continuously enhance our skills in the dynamic field of AIDrive innovation by exploring and implementing novel AI and GenAI solutions that deliver significant business value for our clientsHave the possibility to work with the latest technologies on different projects and internal initiativesCommunicate with the world-leading companies from our logos portfolioWork as a consultant on different projects with a flexible scheduleEnjoy 25 paid days off during the yearHave a consistent monthly Edenred Benefit budgetUse our access to expert communities, paid certifications, and professional eventsBenefit from SoftServe University and have access to over 10,000 learning options from UdemySoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.