{"id":2169739,"url":"https://alion.io/job/grid-dynamics-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":1625,"name":"Grid Dynamics","domain":"griddynamics.com","url":"https://alion.io/company/grid-dynamics-poland","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Wrocław, Poland","Kraków, Poland","Gdańsk, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Hugging Face","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-10-09T09:09:34Z","employer_posted_date":null,"last_verified_at":"2026-10-09T09:09:34Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking a Lead AI Engineer to drive the development and implementation of cutting-edge AI solutions, with a strong focus on Generative AI and Agentic AI. In this role, you will combine hands-on technical leadership with strategic vision—architecting scalable AI systems, mentoring engineering teams, and collaborating closely with stakeholders to deliver innovative solutions from concept to production.\nEssential functions\nArchitecture & Technical Leadership: Lead software development projects end-to-end, defining AI system architecture while staying hands-on with implementation alongside the team.\n\nEngineering Excellence & Mentorship: Set technical direction, establish engineering best practices, and mentor engineers across the team.\n\nCross-Functional Collaboration: Partner closely with business and product stakeholders to align technical strategy with strategic goals, acting as a translator between technical and non-technical teams.\n\nProduction Delivery: Deliver enterprise AI/ML solutions from proof-of-concept (POC) to production, ensuring continuous improvements, system reliability, and long-term support.\n\nInnovation with Pragmatism: Stay ahead of AI industry trends, integrating emerging technologies like Agentic AI, custom guardrails, and fine-tuning while maintaining operational pragmatism.\n\nQualifications\nProduction AI Experience: 5+ years of professional experience developing and scaling production-grade AI/ML systems.\n\nLeadership Background: 2+ years of proven team lead experience working within Agile engineering environments.\n\nPython Expertise: Advanced proficiency in Python and its ecosystem across AI/ML, web services, and data engineering.\n\nDeep LLM & GenAI Mastery: Expertise in open/closed-source LLMs, advanced prompt engineering, RAG, Agentic AI, vector/hybrid search, document processing, guardrails, LLM evaluation, and monitoring/observability.\n\nCloud & ML Platforms: Solid experience with at least one major cloud platform (GCP, AWS, or Azure) and associated ML managed services (e.g., Vertex AI, SageMaker).\n\nCommunication & Stakeholder Management: Outstanding verbal and written English communication skills, with a track record of leading client and stakeholder discussions.\n\nWould be a plus\nFull-Stack & End-to-End Systems: Practical experience extending beyond AI/ML into frontend, backend, data engineering, cloud infrastructure, and CI/CD automation.\n\nDeep Learning Frameworks: Hands-on experience with PyTorch, Hugging Face, NLP, or Computer Vision.\n\nWe offer\nOpportunity to work on bleeding-edge projects\n\nWork with a highly motivated and dedicated team\n\nCompetitive salary\n\nFlexible schedule\n\nBenefits package - medical insurance, sports\n\nCorporate social events\n\nProfessional development opportunities\n\nWell-equipped office\n\nAbout us\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. 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