ML/LLM Architect
WE ARE
Soft
Serve 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 (Co
E) is Soft
Serve’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
- edge tools and technologies.
We also lead Gen AI Lab, our internal innovation engine focused on applied research and
- 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,
- world challenges at scale for our clients and internally.
IF YOU ARE
- scale AI/ML solutions in AWS using Amazon Sage
Maker, AWS Bedrock, Amazon Kendra, AWS Glue, AWS Data Pipelines, Amazon Kinesis, Amazon Athena, and Amazon Redshift
- off analysis of different architecture tactics and patterns
AI and LLM-based solutions
- outs from requirements gathering to
- live and continuous improvement
- oriented Gen
AI solutions
- facing tasks related to discovery, assessment, execution, and operations for complex AI/ML/Gen
AI projects
- outs from requirements gathering to
- live and continuous improvement
- intermediate English speaker
AI (nice to have)
- sales, enterprise consulting, or AI/ML advisory roles (would be a plus)
AND YOU WANT TO
Ops, and MLOps/LLMOps to analyze and recommend
- grade solutions for operationalizing the full spectrum of AI
-
- end MLOps/LLMOps pipelines on AWS, leveraging an
- depth understanding of the platform, the entire AI lifecycle, and business problems to ensure solutions are delivered efficiently, predictably, and sustainably
-
- concepts for diverse AI/ML use cases and specific Gen
AI applications, for clients in customer environments
AI and LLMOps space
AI features
- edge Generative AI applications, by leveraging best practices in Machine Learning, Dev
Ops, LLMOps, and Solution Architecture
Ops teams, and ML Engineers
AI pipelines, and integrate them seamlessly into existing business environments
TOGETHER WE WILL
- edge technologies and continuously enhance our skills in the dynamic field of AI
AI solutions that deliver significant business value for our clients
- leading companies from our logos portfolio
Serve University and have access to over 10, 000 learning options from Udemy
Fii primul, care se va înregistra la oferta de muncă respectivă!