AI Technical Lead

AI overview

Lead AI initiatives for key international clients, tackle complex R&D challenges, and architect scalable AI solutions using Cloud-native services while mentoring teams.

Project – the aim you’ll have 

Join our Cloud & AI practice to act as a primary technical consultant and architect for key international clients. You will lead AI initiatives from the initial workshop phase up to technical implementation. You will tackle complex R&D challenges where solutions must be discovered iteratively, ensuring scalable, high-impact AI solutions are delivered.

Position – how you’ll contribute

  • Lead technical workshops with clients to define AI success criteria, design system architectures, and determine the "how" of implementation. 
  • Act as the hands-on technical lead for Cloud and AI projects, overseeing the lifecycle from concept to deployment. 
  • Collaborate with sales and product teams to ensure AI proposals are technologically sound and deliver genuine business value. 
  • Solve tricky R&D challenges, acting as the main consultant for defining custom AI/ML solutions in ambiguous environments. 
  • Architect scalable AI solutions using Cloud-native services (e.g., Vertex AI, SageMaker) and open-source frameworks 
  • Lead engineers and interns, fostering their growth in AI and Cloud technologies. 

Expectations – the experience you need 

• Extensive experience in AI/ML Engineering and Cloud Architecture roles. 
• Proven ability to run client-facing workshops and translate business goals into technical AI roadmaps. 
• Strong communication skills 
• Experience in leading presales – defining technical aspects and scope of an AI project 
• Deep hands-on experience with Cloud platforms (AWS, GCP, or Azure) and their specific AI/ML suites. 
• Strong background in R&D, GenAI/LLMs, and figuring out solutions in "greenfield" projects. 
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, LangChain). 
• Experience mentoring technical teams and driving best practices in code and architecture. 

Additional skills – the edge you have

• Cloud Certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer). 
• Experience with MLOps practices, CI/CD for ML, and containerization (Docker/Kubernetes). 
• Knowledge of AI governance, ethics, and security best practices. 
• Background in pre-sales engineering or technical consulting. 

Our offer – professional development, personal growth  

  • Flexible employment and remote work  
  • International projects with leading global clients 
  • Non-corporate atmosphere 
  • Language classes 
  • Internal & external training 
  • Private healthcare and insurance  
  • Multisport card 
  • Well-being initiatives 

Position at: Software Mind Poland

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible employment and remote work
  • Health Insurance: Private healthcare and insurance
  • Other Benefit: Well-being initiatives

Careers at Software Mind. Find Great Talent with Career Pages. | powered by SmartRecruiters | Find Great Talent with a Career Page.

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Technical Lead Q&A's
Report this job
Apply for this job