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 technologist
who 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.

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.

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-powered
and
data-driven solutions
.

• Join 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.

• Degree in
  Computer Science
  or equivalent practical experience.
• 5+ years of hands-on software engineering experience
  , ideally8+ 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 estimation
  activities.
• 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
  .
• Familiarity with
  React
  or
  Angular
  and their role within enterprise application architectures.
• Authorization to work in the United States.
• Fluency in English.

• 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 multiple clients and projects.
• Certifications in
  AWS
  ,
  Azure
  ,
  Databricks
  ,
  Confluent
  ,
  Elastic
  , or related technologies.
• Experience with in
  financial…