We are HatchWorks AI

Are you passionate about building AI-native solutions and using AI to create better, faster, and smarter software? At HatchWorks AI, we're looking for innovators, technologists, and builders like you to join our team.

You'll have the opportunity to develop intelligent, purpose-built AI-native software products that transform how people work and live. You will play a key role in our product-centric approach, putting the end-user first to ensure each solution is feasible, viable, and valuable.

By collaborating closely with our clients, you will act as their trusted AI partner, understanding their unique challenges and goals while focusing on outcomes over output. Your top priority will be to deliver tangible results that drive revenue, market share, and operational efficiencies for our clients.

Join us at HatchWorks AI and be part of a team driven to unlock new levels of innovation through AI.

About the Role

As a Solution Architect & Pre-Sales Engineer, you will serve as the technical counterpart to the CTO—bridging the gap between innovative client ideas and scalable, delivery-ready architectures. You’ll play a dual role across pre-sales and solution delivery, working on problems spanning Full-Stack Engineering, Data Engineering, and ML Engineering—particularly those that leverage foundation models and agentic workflows.

You’ll guide clients through rapid ideation and architecture design, create high-level technical documentation, and support implementation as needed. Your work will drive confidence in feasibility, reduce risk, and ensure our AI-native products deliver maximum business impact.

Key Responsibilities

Pre-Sales Architecture & Technical Discovery

Collaborate with prospective clients to understand business goals and translate them into scoped, resourced technical architectures.
Lead technical discovery and ideation sessions that produce proposals, diagrams, and documentation.
Identify and mitigate risks early through lean technical planning.

Project Solutioning & Delivery Support

Architect scalable, cloud-native, full-stack, and event-driven applications.
Support delivery teams during prototyping, handoff, or early implementation phases.
Navigate AI-native workflows including those involving LLM orchestration and foundation models.

Thought Leadership & Strategy

Stay ahead of GenAI, automation, and platform engineering trends.
Contribute to internal playbooks, reusable templates, and accelerator frameworks.
Provide technical evaluations and tool assessments that inform strategic direction.

Team Enablement & Mentorship

Mentor developers on architectural practices, Agile delivery, and scoping strategies.
Help raise internal engineering standards through documentation, tools, and practices.

Qualifications

4–8 years of experience in software engineering or technical architecture.
1+ years supporting pre-sales, consulting, or discovery engagements.
Demonstrated expertise in designing distributed, scalable systems.
Comfortable working across client-facing and technical domains.
Strong verbal and written communication skills.
Proven ability to operate independently with an ownership mindset.

Technical Skills

Required

Programming: Proficiency in Python and JavaScript/TypeScript; RESTful API design.
Cloud Platforms: Deep experience with GCP (preferred), or AWS/Azure.
Architecture: Solution and system architecture including diagramming and documentation.
DevOps: Familiarity with Docker, CI/CD pipelines.
AI: Practical experience integrating with foundation models (e.g., OpenAI, Gemini).
Agile: Hands-on experience in Agile teams, sprint cycles, and iterative delivery.

Preferred

Frameworks & Libraries: React, Node.js, FastAPI, LangChain.
Platforms: Databricks, BigQuery, Vertex AI.
Tools: GitHub Copilot, Cursor, Replit, Claude.
Infrastructure-as-Code: Terraform.
Consulting Environments: Experience in agency, consulting, or product-led environments.