The Role
Build and deliver production-quality AI agents and LLM-powered applications for business clients. Own solutions end to end, including workflow redesign, architecture, development, testing, deployment, adoption, and presentation. Apply prompt engineering, data modeling, automation frameworks, and enterprise data expertise. Evaluate emerging AI tools, create reusable delivery patterns, document standards, and guide team members while translating technical decisions for executive stakeholders.
Summary Generated by Built In
This is a remote position.
SoftSnow is an AI Strategy & Execution Partner that helps mid-market companies build AI-first businesses through Human + AI collaboration. We work alongside client teams to identify valuable opportunities, build practical AI solutions, and support the changes in how people work that make adoption last.
Our approach (Discover, Design & Deliver) combines business discovery and AI readiness assessment with solution design, implementation, and Guided Transformation. We help clients strengthen their data and processes, establish responsible AI practices, and equip employees with the skills and confidence to use AI effectively. Success means measurable business outcomes and sustained adoption, guiding clients from business priorities through execution and ongoing improvement.
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.
Benefits
What We Offer:
- Hands-On AI Learning - No AI consulting background needed. You’ll learn from a team of experts and gain fluency in the fastest-growing industry in the world.
- Outsized Career Growth - We’re scaling fast. Early team members have a real path to leadership as the company grows.
- High-Caliber Team - Work alongside smart, driven colleagues in a positive, low-ego environment where everyone pulls their weight.
- Executive Exposure - Regularly interface with C-suite leaders and department heads at major companies - visibility you wouldn’t get at a larger firm for years.
- Flexible Work Environment - Remote-first with a results-driven approach.
Skills Required
- Bachelor's degree
- 3+ years of experience in software engineering, AI or automation development, data, or a related field
- Hands-on experience building and shipping AI agents or LLM-powered applications
- Hands-on experience with LLM platforms and AI agent tools
- Applied knowledge of prompt engineering
- Experience working with structured and unstructured data
- Ability to own technical projects end to end
- Ability to demonstrate or discuss an AI solution personally built, including architecture, testing, failure handling, and measurable outcomes
- Strong analytical and critical thinking skills
- Ability to adapt quickly to new technologies and evolving AI landscapes
- Proficiency with data models, automation frameworks, and AI-driven decision-making
- Proficiency in Python, SQL, or other programming languages
- Excellent verbal and written communication skills
- Client-facing or consulting experience
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The Company
What We Do
SoftSnow helps organizations turn AI potential from AI Exploration to AI Advocacy Most companies know AI is important but struggle with where to start, how to scale, and how to make it stick. Our three-part approach—Discover, Design, Deliver—solves this. We assess people, data, and technology to find the right entry points, design AI agents and data strategies that deliver quick wins, and guide change management to embed AI across the culture. Unlike “sandbox” approaches, we drive transformation at the individual level by mapping job roles into AI opportunities that scale across departments and the enterprise. With deep expertise in emerging industries, our team blends strategy and hands-on execution to help clients build an AI-first mindset and thrive in an AI-powered future.
Why Work With Us
At SoftSnow, we value balance, growth, and collaboration. We support our team’s personal lives, embrace learning and innovation, celebrate wins together, and foster inclusivity. Our culture empowers people to thrive, take risks, and make a real impact.
