TL;DR

Data & AI Principal (AI Engineering): Leading client projects and business development in data and AI consultancy with an accent on modern digital services leveraging AI for personalized user experiences. Focus on advising clients on data strategy, solution architecture, and driving cross-competence collaboration in strategic accounts.

Location: Hybrid in Helsinki or Tampere, Finland

Company

%hirify_global% is an outcome-focused digital transformation company with a unique culture emphasizing trust, transparency, care, and continuous improvement.

What you will do

Dedicate 80% of time to client work delivering expert guidance and hands-on leadership in AI and data projects.
Spend 20% of time on sales activities and business development to expand client relationships.
Lead and steer the development of the business portfolio and cross-competence offerings.
Act as a source of insights and expertise for key account leads and bridge competencies like tech, design, and advisory.
Lead by example including writing code when necessary and providing solution architecture.
Drive thought leadership and advisory on data strategy, governance, and digital transformation.

Requirements

Location: Must be based in or able to work hybrid in Helsinki or Tampere, Finland.
10+ years of experience in digital service development and/or AI & Machine Learning.
Strong knowledge of cloud ecosystems and modern digital services development.
Fluent in Finnish and English.
Experience in sales, business development, and client communication.
Industry expertise in Retail, Banking, Insurance, or Healthcare is a plus.

Nice to have

Passion for business and team development, innovation, and customer experience.
Advisory capabilities related to governance and digital strategy.

Culture & Benefits

Hybrid work model with flexibility.
Free choice of work gear including laptop, phone, tablet, and headphones.
Sports and lunch benefits.
Access to learning events and certification programs.
Inclusive and supportive work environment fostering growth and continuous improvement.

Hiring process

Initial discussion to get to know the candidate and provide info about the company.
In-depth technical interview with potential colleagues.
General chat about potential projects and reference calls as part of the process.