AI Engineering Strategist

SoftSnow AI; Poland; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive Training

Growth Opportunities

Collaborative Environment

Innovative Projects

Competitive Benefits

Flexible Remote Work

Job summary

SoftSnow AI is hiring an AI Engineering Strategist to own the full lifecycle of client AI solutions, from problem framing to deployment and adoption. You will design, build, test, and present AI-enabled workflows, with strong emphasis on production quality and user impact.

You’ll work in a fast-paced, client-facing environment, crafting reusable patterns and documentation that elevate team capabilities. Remote work is offered with results-driven expectations.

Qualifications

• Bachelor's degree in a related field.
• 3+ years of software engineering or AI/automation development experience.
• Hands-on experience building AI agents or LLM-powered apps.

Responsibilities

• Redesign work processes by uncovering real pain points and building AI solutions.
• Build production-ready AI agents using Claude, OpenAI, and other platforms.
• Architect scalable AI solutions including LLM integrations and automation workflows.
• Work with enterprise data and apply prompt engineering and data models.
• Present AI solutions to clients, translating tech decisions into business terms.

Skills

Python

SQL

Analytical thinking

Communication

Adaptability

Education

Bachelor's degree

Tools

Claude

OpenAI

Job description

Driving Business Growth with an AI-First Approach.

SoftSnow helps companies create AI-first cultures through data readiness assessments, strategic roadmaps, and guided transformations that deliver the growth and efficiency

to gain a competitive advantage in the AI-powered world.

Job Description

This is a remote position.

SoftSnow is an AI consulting company. Our mission is to empower businesses to navigate the complexities of AI adoption and accelerate their journey toward realizing its full potential. SoftSnow is the leading partner for mid-market companies, helping to strategically leverage AI to transform business operations, achieve unparalleled efficiency, and foster sustainable growth.

Position Overview

The AI Engineering Strategist is a hands-on AI systems builder with broad transformation expertise and deep ownership of workflow design and technical delivery. This person owns the full lifecycle of complex client solutions—from uncovering the underlying business problem and redesigning how work gets done through architecture, development, testing, deployment, adoption, and final presentation. Combining strong engineering capabilities with sound business judgment, this person turns ambiguous challenges into production-quality AI solutions that users adopt and that deliver meaningful impact. The role also strengthens the broader team through reusable patterns, components, and documentation. If you are a hands-on builder who wants end-to-end ownership in a fast-paced, client-facing environment, this opportunity is for you.

Key Responsibilities

• Redesign how work gets done by uncovering the real pain point and building customer-centric AI solutions that fit naturally into users’ workflows, drive adoption, and deliver meaningful impact.
  
• Build production-quality AI agents using tools such as Claude, OpenAI, and other leading platforms.
  
• Architect scalable solutions, including LLM integrations, natural language interfaces, and automation platforms.
  
• Work with enterprise data and apply knowledge of prompt engineering and data models to deliver reliable, high-performing solutions.
  
• Evaluate new orchestration platforms and AI tooling as they emerge, producing clear assessments and adoption recommendations for the team.
  
• Present AI solutions confidently to client stakeholders, including translating technical decisions into plain business language for executive audiences.
  
• Contribute reusable patterns, components, and documentation that elevate the team's collective capability and make delivery more consistent.
  
• Provide constructive guidance to the delivery team, and model strong documentation, SOP, and delivery standards across the team.
  

Requirements

Education:

• Bachelor's degree required.
  

Experience:

• 3+ years of experience in software engineering, AI or automation development, data, or a related field, including hands-on experience building and shipping AI agents or LLM-powered applications.
  
• Hands-on experience with LLM platforms and AI agent tools including applied knowledge of prompt engineering
  
• Experience working with structured and unstructured data.
  
• Demonstrated ability to own technical projects end to end, ideally in a client-facing or consulting environment.
  
• Candidates should be prepared to demonstrate or discuss an AI solution they personally built, including the business problem, their individual contribution, the architecture, testing and failure handling, and the measurable outcome or user impact.
  

Knowledge, Skills & Abilities:

• Strong analytical and critical thinking skills.
  
• Ability to quickly adapt to new technologies and evolving AI landscapes.
  
• Proficient working with data models, automation frameworks, and AI-driven decision-making.
  
• Proficiency in Python, SQL, or other programming languages.
  
• Excellent verbal and written communication skills.
  

What We Offer:

• Comprehensive Training – Learn AI development through hands-on experience and mentorship.
  
• Exciting Growth Opportunities – Join a fast-growing industry with endless possibilities.
  
• Collaborative Environment – Work alongside top AI professionals in a supportive team.
  
• Innovative Work – Be part of cutting-edge AI projects that shape the future of business.
  
• Competitive Benefits - Designed to focus on our team's personal, professional and financial goals.
  
• Flexible Work Environment – Remote work opportunities with a results-driven approach.