AI Engineer

Position: Growth AI Engineer
At Mimacom, we turn complex business challenges into digital solutions that create measurable value. As part of our growing North American business, you'll work alongside experienced engineers, architects, consultants, and business leaders to help organizations unlock the value of AI, data, and cloud technologies.

We are looking for an AI Growth Engineer (Solutions Architect) to join our US team. This is a unique opportunity for a hands-on technologistwho is equally comfortable engaging with customers, shaping solution strategies, building prototypes, and delivering enterprise-grade software solutions. You will work closely with our US business leadership to help grow Mimacom's AI, data, and cloud practice while remaining actively involved in customer delivery through go-live.

As an AI Growth Engineer (Solutions Architect), you will act as the technical bridge between business opportunities and successful project delivery. Combining the customer-facing capabilities of an AI Architect with the engineering expertise of a Senior Engineer, you will help customers solve complex business challenges through modern AI-poweredand data-driven solutions.

This role is best suited for a senior hands-on architect or lead engineer who has evolved beyond pure software development and enjoys combining customer engagement, solution design, AI innovation, and technical leadership. While expertise across every discipline is not expected, candidates should have a strong architectural mindset and be comfortable operating across business and technical domains.

What You'll DoJoin customer engagements from the earliest stages, uncovering business and technical requirements and helping define solution strategies.

Shape proposals, solution architectures, delivery approaches, effort estimates, and team structures to support successful sales opportunities.

Build MVPs, proofs of concept (PoCs), demos, and prototypes that demonstrate business value and accelerate decision-making.

Design and architect enterprise-grade AI, data, and cloud solutions from concept through production deployment.

Build AI-enabled systems leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and context engineering techniques.

Design and implement modern data platforms, event-driven architectures, streaming architectures, search solutions, and analytics capabilities.

Work hands-on throughout the delivery lifecycle, contributing code, reviewing implementations, and mentoring technical teams.

Leverage AI-assisted engineering tools to accelerate development and help customers adopt modern engineering practices.

Collaborate closely with customers and cross-functional teams to ensure successful project delivery and go-live.

Act as a trusted technical advisor for stakeholders ranging from engineering teams to executive leadership.

What You'll Need Degree in Computer Science or equivalent practical experience.
5+ years of hands-on software engineering experience, ideally 8+ years within complex enterprise environments.

Strong communication and stakeholder management skills, with the ability to engage both technical and business audiences.

Experience supporting customer workshops, solution consulting, proposal creation, and effort estimationactivities.

Proven ability to rapidly build prototypes and MVPs and evolve them into production-ready solutions.

Practical experience integrating and deploying Generative AI solutions, including LLMs, prompt engineering, context engineering, and AI-assisted development tools.

Experience designing and building distributed systems and microservices architectures on AWS and/or Azure.

Hands-on experience with Apache Kafka in enterprise environments is required.

Strong experience with Elasticsearch is highly preferred.

Experience with Databricks is a plus.

Experience with Snowflake is nice to have.

Experience defining solution architectures and supporting enterprise architecture discussions, including technology roadmaps, integration strategies, and modernization initiatives.

Strong expertise in Java and Spring Boot.

Familiarity with React or Angular and their role within enterprise application architectures.

Authorization to work in the United States.

Fluency in English.

Nice to Have Deep enterprise architecture experience, including formal architecture governance frameworks, large-scale IT landscape assessments, and target-state transformation programs.

Consulting or professional services experience working across…