
Presales AI Engineer/Consultant (AWS)
Algomine, Poland, NY, United States
Supporting presales processes: customer needs analysis, discovery workshops, defining AI use cases.
Designing concepts and architectures for AI/GenAI solutions in the AWS cloud.
Preparing PoCs, demos, and technical materials (presentations, architectures, estimates).
Technology consulting in the areas of LLM, GenAI, RAG, and AI agents.
Collaborating with delivery teams in project handover.
Requirements
Experience in AI/ML projects, including practical work with LLM and GenAI
Knowledge of AI solution architecture on AWS (e.g., Bedrock, SageMaker, OpenSearch, Lambda)
Very good knowledge of Python and the AI/ML ecosystem
Experience in customer conversations, requirements gathering, and business case development
Ability to translate technical concepts into business language
English language at C1 level
Preferred
Presales or consulting experience
Knowledge of RAG, prompt engineering, agent orchestration (e.g., LangChain)
AWS certifications (AI/ML or architectural)
What we offer
Flexible collaboration model
Possibility of long-term collaboration on subsequent initiatives
Working with a mature technical and sales team.
Co-creating AI competencies within the organization
Private healthcare and sports card
#J-18808-Ljbffr
Designing concepts and architectures for AI/GenAI solutions in the AWS cloud.
Preparing PoCs, demos, and technical materials (presentations, architectures, estimates).
Technology consulting in the areas of LLM, GenAI, RAG, and AI agents.
Collaborating with delivery teams in project handover.
Requirements
Experience in AI/ML projects, including practical work with LLM and GenAI
Knowledge of AI solution architecture on AWS (e.g., Bedrock, SageMaker, OpenSearch, Lambda)
Very good knowledge of Python and the AI/ML ecosystem
Experience in customer conversations, requirements gathering, and business case development
Ability to translate technical concepts into business language
English language at C1 level
Preferred
Presales or consulting experience
Knowledge of RAG, prompt engineering, agent orchestration (e.g., LangChain)
AWS certifications (AI/ML or architectural)
What we offer
Flexible collaboration model
Possibility of long-term collaboration on subsequent initiatives
Working with a mature technical and sales team.
Co-creating AI competencies within the organization
Private healthcare and sports card
#J-18808-Ljbffr