AI Tech Lead: Build & Scale Impactful AI Solutions

NCS Group

Helsinki

On-site

EUR 110,000 - 170,000

Full time

2 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

NCS Group in Helsinki seeks a senior technical leader to guide AI engineering teams, translating complex client problems into scalable AI solutions that deliver measurable business value. You will own end-to-end delivery, define architecture and roadmaps, and mentor engineers across regions while partnering with product, delivery, and sales teams.

Role requires strong leadership, strategic thinking, and responsible AI practices; you will drive innovation with a focus on reliability, security,

Qualifications

Education: Degree in Computer Science or related field
Leadership: 2+ years leading teams (3+ engineers) across AI/software
AI/ML delivery: production AI/ML solutions with measurable impact
Modern AI tooling: LangChain, LlamaIndex, MLOps, automation
Engineering discipline: balance experimentation with security, reliability, observability
Stakeholder management: translate business needs to technical execution
Autonomy: work independently in ambiguity and deliver at pace

Responsibilities

Lead multidisciplinary teams from client problems to prototypes, MVPs, and production-ready solutions
Define architecture, technology stack, and delivery approach for complex AI initiatives
Translate ambiguous business challenges into product hypotheses, technical strategies, and execution roadmaps
Oversee AI-enabled solutions using software engineering, model orchestration, automation, and design tools
Make architectural trade-offs across speed, quality, security, scalability, cost, and business value
Ensure enterprise standards for reliability, maintainability, security, and observability
Build, mentor, and grow high-performing AI engineering teams
Conduct technical, code, and architecture reviews
Provide coaching, feedback, and career development
Foster a collaborative, innovative, and psychologically safe culture
Identify skill gaps and drive upskilling
Adise technology and business leaders on AI investments and architecture
Shape AI strategy and roadmaps with leadership
Contribute to whitepapers, case studies and industry presentations
Evaluate emerging AI tools, methods, and frameworks
Drive rapid experiments and iterative delivery to validate desirability, feasibility, and value
Continuously improve engineering practices, delivery methodologies, and quality standards
Develop reusable patterns and playbooks to scale AI delivery across sectors
Champion responsible AI, including fairness, transparency, privacy, and governance
Collaborate with sales, delivery, and product teams to shape winning propositions
Represent NCS's AI capabilities in client engagements and industry forums
Work with cross-functional teams to meet enterprise standards
Enable knowledge transfer and solution adaptation across regional teams
Lead engineering teams delivering complex AI/ML solutions in production
Balance hands-on contribution with strategic leadership and team development
Inspire, mentor, and grow engineering talent
Create clarity through action and leadership
Define scope, shape approaches, and drive multiple workstreams
Make sound decisions with incomplete information and adapt as context evolves
Combine technical depth with business acumen to translate complexity into value
Communicate effectively with stakeholders and translate concepts to non-technical audiences
Be AI-fluent and forward-thinking, stay current with AI innovations
Focus on shipping solutions that solve meaningful client problems
Move quickly while maintaining quality, trust, and maintainability
Measure success by client impact and team growth
Engage senior stakeholders and challenge assumptions constructively
Articulate complex technical concepts to non-technical audiences
Build trust through transparency and delivery
Use AI as a practical multiplier across design, code, research, and delivery
Understand AI system limitations, risks, and capabilities