AI/ML Solution Architect

This is a fully remote position, open to applicants in United States, +3 more locations.

📋 Description

• Take ownership of the complete AI/ML solution architecture for client projects and lead delivery teams.

• Serve as a trusted advisor to clients by comprehending business challenges and offering technology consulting.

• Assist with presales efforts, including technical discovery, solution design, and estimation, for approximately 20% of the time.

• Provide technical leadership to teams of 2–3 AI and cloud engineers while mentoring junior and mid-level staff.

• Design and create agentic systems that plan, utilize tools, and automate business processes.

• Develop applications powered by LLMs and RAG pipelines, focusing on chunking, embedding, retrieval strategies, evaluation, and iteration.

• Work with vector databases and search technologies, including indexing strategies, hybrid and semantic search, and relevance tuning.

• Conduct prompt engineering, model selection, and systematic evaluation of LLM outputs.

• Create highly scalable services that implement AI/ML functionalities.

• Construct scalable Python services and data flows for ingestion, transformation, document preparation, and AI-driven data access like Text2SQL.

• Integrate AI services with external systems via REST APIs, authentication, webhooks, and SaaS platforms.

• Implement AI solutions on AWS, utilizing Bedrock, SageMaker, Lambda, and Textract.

• Define infrastructure as code using Terraform/Terragrunt or AWS CloudFormation.

• Design, develop, and maintain CI/CD pipelines across various environments.

• Stay updated with AWS innovations and contribute to AWS Competency and Service Delivery Programs.

• Collaborate with Application Development, Cloud Migration, PMO, Sales, and Presales teams on international client projects.

• Primarily work during US time zones with several hours of overlap with the Hungarian delivery team.

• Travel occasionally to Hungary or client locations.

⛳️ Requirements

• Over 5 years of experience, including recent hands-on involvement in AI projects, ideally from an AI/ML, data, or backend engineering background.

• Previous experience in an architect role; this should not be your initial architect position.

• Practical experience with both GenAI and traditional ML solutions.

• Strong familiarity with AWS, including Amazon Bedrock, and experience with some combination of SageMaker, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, or ElasticSearch.

• Proficient in Python with hands-on experience in the GenAI ecosystem, such as LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, and Pydantic.

• Good understanding of LLM application concepts: RAG, embeddings, vector databases, tool calling, agent patterns, prompt engineering, and evaluation.

• Strong command of SQL and a working knowledge of key data engineering principles, including ETL, pipelines, and data modeling.

• Demonstrated experience in designing, consuming, and integrating APIs, and connecting AI services to existing systems.

• A bachelor’s degree in Computer Science, Information Technology, or a related field.

• Excellent communication and problem-solving skills, a consulting mindset, business acumen, and comfort in client-facing situations.

• Ability to work independently and collaboratively with global, cross-functional teams in a fast-paced setting.

• Availability to work within US time zones, with several hours of overlap with the Hungarian team.

• Professional working proficiency in English.

• AWS Solutions Architect Professional or another AWS Professional/Specialty certification is preferred.

• Hands-on experience with Amazon Bedrock AgentCore is a plus.

• Background at an AWS partner or similar professional services firm is advantageous.

• Experience with various cloud providers is a plus.

• Pre-sales engineering experience is a bonus.

🏝️ Benefits

• A company culture founded on autonomy and accountability.

• Fully remote position available anywhere in the United States OR LATAM (Brazil or Argentina).

• Flexible working hours, facilitating collaboration between US and European teams.

• High visibility with executive leadership and real influence on the evolution of the US delivery organization.

• Engage in innovative AWS Cloud Migration projects for fast-growing startups and enterprise clients.

• Occasional business travel for strategic customer engagements.