AI Growth Engineer

Mimacom; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Mimacom is seeking an AI Growth Engineer (Solutions Architect) to join its US team. You’ll bridge business opportunities and delivery, shaping AI-driven solutions and leading architectural design across AWS/Azure environments.

This role blends customer engagement with hands-on engineering to advance Mimacom's AI and data practices in North America. You will collaborate with leadership, craft MVPs/PoCs, and mentor teams while building enterprise-grade AI, data, and cloud ecosystems.

Qualifications

• 5+ years of hands-on software engineering experience, ideally 8+ years in complex enterprise environments.
• Strong communication and stakeholder management skills.
• Experience supporting customer workshops, solution consulting, proposal creation, and effort estimation.
• 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, and AI-assisted development tools.

Responsibilities

• 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.

Skills

Hands-on software engineering

Communication

Stakeholder management

Solution design

Architectural mindset

Leadership

AI/ML knowledge

Prototyping

Education

Computer Science degree

Tools

AWS

Azure

Apache Kafka

Elasticsearch

Databricks

Snowflake

React

Angular

Liferay

Job description

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 ofAI,data, andcloud technologies.

We are looking for anAI Growth Engineer (Solutions Architect)to join our US team. This is a unique opportunity for ahands-on technologistwho is equally comfortable engaging with customers, shapingsolution strategies, buildingprototypes, and deliveringenterprise-grade software solutions. You will work closely with our US business leadership to help grow Mimacom'sAI, data, and cloud practicewhile remaining actively involved in customer delivery through go-live.

This role is best suited for a seniorhands-on architectorlead engineer who has evolved beyond pure software development and enjoys combiningcustomer engagement,solution design,AI innovation, andtechnical leadership. While expertise across every discipline is not expected, candidates should have a strongarchitectural mindsetand be comfortable operating across business and technical domains.

What You’ll Do

As an AI Growth Engineer (Solutions Architect), you will act as thetechnical bridge between business opportunities and successful project delivery. Combining the customer-facing capabilities of anAI Architectwith the engineering expertise of aSenior Engineer, you will help customers solve complex business challenges through modernAI-poweredanddata-driven solutions.

• Join customer engagements from the earliest stages, uncovering business and technical requirements and helping definesolution strategies.
• Shapeproposals,solution architectures, delivery approaches, effort estimates, and team structures to support successful sales opportunities.
• BuildMVPs,proofs of concept (PoCs), demos, and prototypes that demonstrate business value and accelerate decision-making.
• Design and architectenterprise-grade AI, data, and cloud solutionsfrom concept through production deployment.
• BuildAI-enabled systemsleveragingGenerative AI,Large Language Models (LLMs),Retrieval-Augmented Generation (RAG),agentic workflows, andcontext engineeringtechniques.
• Design and implement moderndata platforms,event-driven architectures,streaming architectures,search solutions, andanalytics capabilities.
• Work hands-on throughout the delivery lifecycle, contributing code, reviewing implementations, and mentoring technical teams.
• LeverageAI-assisted engineering toolsto 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 atrusted technical advisorfor stakeholders ranging from engineering teams to executive leadership.

What You’ll Bring

• Degree inComputer Scienceor equivalent practical experience.
• 5+ years of hands-on software engineering experience, ideally8+ yearswithin complex enterprise environments.
• Strongcommunicationandstakeholder managementskills, with the ability to engage both technical and business audiences.
• Experience supportingcustomer workshops,solution consulting,proposal creation, andeffort estimationactivities.
• Proven ability to rapidly buildprototypesandMVPsand evolve them intoproduction-ready solutions.
• Practical experience integrating and deployingGenerative AI solutions, includingLLMs,prompt engineering,context engineering, andAI-assisted development tools.
• Experience designing and buildingdistributed systemsandmicroservices architecturesonAWSand/orAzure.
• Hands-on experience with Apache Kafka in enterprise environments is required.
• Strong experience withElasticsearchis highly preferred.
• Experience withDatabricksis a plus.
• Experience withSnowflakeis nice to have.
• Experience definingsolution architecturesand supportingenterprise architecturediscussions, includingtechnology roadmaps,integration strategies, andmodernization initiatives.
• Familiarity withReactorAngularand their role within enterprise application architectures.
• Authorization to work in the United States.
• Fluency in English.

Nice to Have

• Deepenterprise architectureexperience, including formal architecture governance frameworks, large-scale IT landscape assessments, and target-state transformation programs.
• Consultingorprofessional servicesexperience working across multiple clients and projects.
• Certifications inAWS,Azure,Databricks,Confluent,Elastic, or related technologies.
• Experience withinfinancial services,insurance,retail,manufacturing, orlife sciences.
• Knowledge ofDataOps,CI/CD practices, andautomated data pipelines.
• Experience withLiferayor other enterprise platforms.
• Public speaking,technical writing, conference presentations, oropen-source contributions.
• German or Spanish language skills for collaboration with European Mimacom teams.

What Awaits You

• A highly entrepreneurial role combiningbusiness growth,technical consulting,solution architecture, andhands-on engineering.
• The opportunity to work with cutting-edgeAI,data, andcloud technologiesacross a variety of industries and customer environments.
• Direct involvement in shaping and growing Mimacom'sAI and data businessin North America.
• Collaboration with talented colleagues across the United States and Europe.
• A role split of approximately40% pre-sales and business growthactivities and60% solution design and delivery.
• Regular travel to customer sites as required.