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AI Solutions Architect

brainhackathon • Ethiopia
Remote
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AI Summary

Design and oversee scalable AI architectures for MVPs, bridging business strategy with cutting-edge technology. Lead technical discovery, tool selection, and end-to-end solution development from prototype to production. Requires proven AI/ML system design experience, cloud platform expertise, and strong communication skills.

Key Highlights
Translate business challenges into scalable AI architectures
Lead technical discovery and co-creation workshops with clients
Oversee end-to-end solution development from PoC to production
Expertise in MLOps, security, and data governance practices
Key Responsibilities
Translate business challenges into scalable AI architectures and solution designs
Lead technical discovery sessions and co-creation workshops with clients
Evaluate and select the right tools, frameworks, and cloud platforms for each use case
Oversee end-to-end solution development from proof of concept to production-ready MVPs
Collaborate closely with AI/ML engineers, product strategists, and UX designers
Define best practices for MLOps, security, data governance, and architecture scalability
Provide technical guidance and mentorship across project teams
Act as a trusted technical advisor for clients and stakeholders
Technical Skills Required
Python Cloud platforms (GCP, Azure, AWS) MLOps practices
Benefits & Perks
Remote work
Flexible schedules
Self-management

Job Description


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AI Solutions Architect

Remote (Work from anywhere)

About BrainHackathon

‍

BrainHackathon is an AI Transformation Partner helping organizations move from AI curiosity to AI capability — fast. We partner with ambitious teams to go from understanding to action in weeks, co-creating AI-powered solutions that transform how businesses grow. We are a Teal-inspired, purpose-driven organization — self-managed, collaborative, and built on trust, teamwork, and continuous innovation.

‍

Your Mission

‍

As our AI Solutions Architect, you will design and oversee the technical architecture of our AI MVPs — ensuring they are scalable, secure, and production-ready. You will bridge business strategy with cutting-edge technology, guiding projects from early prototypes to live production deployments. You’ll play a key role in shaping our technical direction and helping clients unlock the full power of AI.

What You’ll Do

‍

  • Translate business challenges into scalable AI architectures and solution designs.
  • Lead technical discovery sessions and co-creation workshops with clients.
  • Evaluate and select the right tools, frameworks, and cloud platforms (GCP, Azure, AWS) for each use case.
  • Oversee end-to-end solution development from proof of concept to production-ready MVPs.
  • Collaborate closely with AI/ML engineers, product strategists, and UX designers.
  • Define best practices for MLOps, security, data governance, and architecture scalability.
  • Provide technical guidance and mentorship across project teams
  • Act as a trusted technical advisor for clients and stakeholders.

What You’ll Bring

‍

  • Proven experience in AI/ML solution design and system architecture.
  • Strong background in data science and software engineering.
  • Hands-on expertise with cloud platforms (GCP, Azure, AWS) and modern AI/ML stacks.
  • Familiarity with LLMs, generative AI frameworks, and MLOps practices.
  • Excellent communication and client-facing skills — able to simplify the complex.
  • Strategic thinking combined with a bias for action and delivery.
  • Curiosity, adaptability, and a collaborative spirit.

Minimum Qualifications

‍

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 3+ years of experience in software engineering, data engineering, or machine learning system design.
  • Proven experience architecting and deploying AI/ML solutions on at least one major cloud platform (GCP, AWS, or Azure).
  • Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, JAX, or equivalent).
  • Hands-on experience designing data pipelines, APIs, and integrations that support AI workloads.
  • Understanding of MLOps practices, including model versioning, CI/CD, monitoring, and lifecycle management.
  • Strong communication and stakeholder management skills with the ability to translate technical concepts into business outcomes.
  • Excellent written and verbal communication skills in English.

‍

Preferred Qualifications

‍

  • Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 5+ years of experience building and deploying large-scale or production-grade AI systems.
  • Hands-on expertise with large language models (LLMs), generative AI frameworks, and vector databases.
  • Experience designing end-to-end architectures integrating data ingestion, model training, inference, and APIs.
  • Deep familiarity with cloud-native tools (Vertex AI, Azure ML, SageMaker) and scalable infrastructure design.
  • Knowledge of data governance, privacy, and responsible AI practices.
  • Proven ability to lead cross-functional technical teams and mentor engineers.
  • Strategic mindset with a passion for experimentation and rapid prototyping.
  • Commitment to continuous learning and emerging AI technologies.

‍

Why Join Us

‍

  • Purpose-driven culture: A Teal organization built on trust, values, teamwork, and shared ownership.
  • Collaborative team: Work side by side with strategists, architects, and designers on impactful projects.
  • Innovation at the core: Build cutting-edge AI solutions that transform businesses.
  • Flexibility: Full self-management, flexible schedules, and remote-first.
  • Growth without limits: Learn fast, take ownership, and shape the future of AI.

‍

‍

‍

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Let's explore how BrainHackathon can support your AI journey — from strategy to MVP and beyond.

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Munich

  • Amsterdam
  • Limassol

[email protected]

Book your call here

Munich

  • Amsterdam
  • Limassol

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