Lead AI/ML Engineer

About the Position

We are looking for a Lead AI/ML Engineer to join our AI Center of Excellence (AI CoE). This role combines hands-on delivery of AI, GenAI, Agentic AI, and AI-native engineering solutions with practice development, presales support, mentoring, research, and AI SDLC enablement. The successful candidate will act as a technical leader on client projects while helping strengthen the company's internal AI capabilities, delivery standards, reusable assets, engineering practices, and AI delivery methodologies.

Responsibilities

Project Delivery and Technical Leadership:

• Lead the design and delivery of AI, ML, GenAI, and Agentic AI solutions for client projects.
• Act as a technical lead for AI agents, copilots, AI-powered workflows, and AI-enabled engineering initiatives.
• Define solution architecture, technical approach, implementation standards, and delivery plans.
• Guide engineering teams on model integration, retrieval-based solutions, agent workflows, evaluation, monitoring, and deployment.
• Lead projects using modern AI-native engineering methodologies, including Specification-Driven Development (SDD), to improve delivery speed, quality, traceability, governance, and engineering productivity.
• Translate business requirements into structured specifications, acceptance criteria, and implementation plans that can be consumed by both engineering teams and AI agents.
• Review technical designs, architecture decisions, code quality, delivery risks, and AI governance considerations.
• Collaborate with client stakeholders, project managers, business analysts, architects, engineers, and QA teams.

Presales and Client Engagement:

• Support discovery calls, technical workshops, and client consultations.
• Prepare solution concepts, technical proposals, estimates, and delivery approaches.
• Contribute to statements of work, proof-of-concept planning, and architecture documentation.
• Support sales and account teams with technical expertise during presales activities.

AI SDLC and Practice Development:

• Help define and improve company practices for applying AI across the software delivery lifecycle.
• Contribute to defining and evolving company standards for AI-native software delivery and Specification-Driven Development.
• Create practical approaches for using AI in discovery, requirements, design, development, testing, deployment, and support.
• Develop reusable specification templates, evaluation plans, agent instructions, and delivery playbooks.
• Contribute to internal frameworks for coding agents, AI evaluations, quality gates, responsible AI delivery, and AI governance.
• Support the development of repeatable delivery models for AI and GenAI projects.

Mentoring, Enablement, and Community Leadership:

• Mentor engineers, tech leads, and delivery teams in AI, GenAI, Agentic AI, AI SDLC, and SDD practices.
• Conduct internal and client-facing workshops on AI-first engineering and AI-enabled software delivery.
• Support knowledge sharing and capability growth across the organization.
• Participate in technical interviews and hiring activities.

Research and Innovation:

• Lead R&D initiatives in GenAI, AI agents, AI SDLC, and AI-assisted software delivery.
• Explore new tools, frameworks, cloud services, and delivery practices.
• Build prototypes and proof-of-concepts to validate new ideas.
• Develop reusable accelerators, frameworks, demos, and delivery assets.

Requirements

Experience:

• 5+ years of commercial software engineering experience with substantial hands-on coding responsibilities.
• 3+ years of hands-on experience designing, building, and delivering AI, Machine Learning, or Generative AI solutions in production environments.
• Experience leading technical teams or acting as a Technical Lead on client-facing projects.
• Proven experience collaborating with cross-functional teams and communicating effectively with both technical and business stakeholders.

AI & GenAI Expertise:

• Deep practical experience with Large Language Models (LLMs), embeddings, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and model evaluation.
• Proven experience designing and deploying complex AI systems involving agent orchestration, multi-agent architectures, coding agents, and AI-native engineering workflows.
• Hands-on experience with modern AI assistants and coding agents such as Claude, GitHub Copilot, Cursor, Windsurf, or similar platforms.
• Experience building AI-powered development accelerators and automation frameworks, including prompt management, context engineering, tool integration, skills, agents, feedback loops, and AI SDLC workflows.
• Strong understanding of emerging AI engineering practices, model capabilities and limitations, evaluation methodologies, and responsible AI principles.

Software Engineering & Architecture:

• Strong software engineering foundation, including software architecture, clean code principles, automated testing, source control, DevOps, CI/CD, and modern software delivery practices.
• Proven experience designing scalable, secure, reliable, and maintainable AI-powered systems for production environments.
• Ability to incorporate governance, observability, security, and operational considerations into AI solution architectures.

Leadership & Professional Skills:

• Strong leadership, mentoring, presentation, facilitation, and stakeholder management skills.
• Ability to drive technical decisions, establish engineering best practices, and guide teams through AI solution delivery.
• Ability to manage multiple initiatives, adapt quickly to changing priorities, and effectively switch contexts in a fast-paced environment.
• Strong written and verbal English communication skills.

Nice to Have

• Experience in presales, solution consulting, proposal preparation, technical workshops, solution estimation, and client-facing architecture discussions.
• Experience defining and implementing AI engineering standards, AI SDLC practices, or AI transformation initiatives within engineering organizations.
• Anthropic Solution Architect Foundational certification or other recognized AI, cloud, or platform certifications.
• Experience with enterprise AI governance, AI observability, AI evaluation frameworks, and agent operations (AgentOps).

We Offer

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

Kateryna Kyryia

Recruitment Partner

Apply now!

Thanks for applying!

We’ll take a look and get in touch within 7 days if the role feels like a good fit.

Meanwhile, feel free to explore our LinkedIn.