🎯 Mission Statement

Deliver AI solutions that move beyond experimentation and into production - where they solve real business challenges, create measurable impact, and scale with the client’s organization.

🧩 Core Responsibilities

🔹 Client Discovery & Presales

● Engage early with client stakeholders (business & tech) to uncover AI opportunities.

● Shape use cases and demonstrate how AI (ML, GenAI, LLMs) can unlock value.

● Lead feasibility assessments, build lean business cases, and support proposals.

● Translate high-level client goals into structured problem definitions and delivery strategies.

● Apply strategic, out-of-the-box thinking to identify new applications of AI and challenge client assumptions when needed.

🔹 Solution Design & Delivery Ownership

● Co-create solution architectures with tech leads and engineers.

● Guide the AI solution from concept to production with hands-on involvement in:

o Requirements gathering

o User journey definition

o Prompt and data design (for GenAI)

o Feedback loop planning

● Act as the connective tissue between technical teams and business stakeholders to keep delivery aligned with objectives.

● Proactively account for data security, compliance, and responsible AI principles throughout design and delivery.

🔹 Post-Deployment Consulting

● Ensure adoption, measure impact, and advise on optimization and scale-up after go-live.

● Train users, gather feedback, and steer iteration cycles.

● Serve as the continuity point across presales, delivery, and scaling phases.

● Capture insights to influence internal product roadmaps and reusable components.

● Identify related business opportunities and develop the account.

🧠 Skills & Traits

Business Fluency

● Ability to quickly grasp diverse domains (e.g., retail, supply chain, finserv, telco, energy).

● Comfort with stakeholder negotiation, expectation management, and client alignment.

Technical Literacy (but not deep engineering)

● Understand ML/AI/GenAI solution architectures, APIs, and toolchains.

● Can prototype with low-code or prompt tools, speak with engineers, and evaluate solution viability—but doesn’t need to build end-to-end code.

Communication Mastery

● Can talk LLM latency with devs and KPIs with execs—tailoring message to audience.

● Strong written and visual communicator (slides, diagrams, demo stories).

Outcome Orientation

● Bias toward production value: MVP over POC, impact over perfection.

● Pragmatic decision-making across scope, timeline, and resources.

🎉 What You’ll Get in Return
Joining our team offers benefits beyond just professional growth. You’ll become part of a motivated, friendly, and highly qualified group of experts dedicated to achieving excellence for our clients and ourselves. Here’s what you can look forward to:

● A positive and driven team atmosphere: We approach every challenge with enthusiasm and passion.

● Attractive financial rewards: Competitive compensation that includes career progression opportunities and participation in project profit sharing.

● Diverse project exposure: Work on various initiatives for different industry-leading clients.

● Empowerment and autonomy: Take ownership of your work and make impactful decisions.

● Engaging company culture: Participate in seminars, tech talks, hackathons, office lunches/breakfasts, and team-building events.

✅ Ideal Profile

You might thrive in this role if you:

● 2-5+ years in AI consulting, AI delivery, digital transformation, or AI software project management.

● Have experience in client consulting, AI/ML projects, or product delivery.

● Like both strategy and action - you shape the opportunity and stay to deliver it.

● Excel in hybrid settings: in front of a boardroom, in a Miro board with analysts, or reviewing LLM evaluations with developers.

● Czech or Slovak language is a bonus and nice to have.

🚀 Career Pathways

This blended role opens growth into:

● AI Engagement Leader or Delivery Lead (managing multiple clients and deliveries)

Voľné pracovné pozície Adastra Slovensko

Máme pre vás 2 pozície.

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