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Salary
$76k – $108k per year (gross)
Location
Remote (Lithuania)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Oct 17, 2026. EPAM Systems scores D on the Alion truth index.

Overview
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Profile match
EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.

Job Description

We are seeking an experienced AI Solution Architect to be responsible for designing and implementing robust, scalable, and reliable AI solutions for TOP 500 Fortune clients. This includes generative AI systems, autonomous AI agents, and operator-based solutions that leverage cutting-edge techniques and frameworks (e.g., LangChain, Flowise, RAGflow). The role requires expertise in data architecture, machine learning, cloud services, and software engineering—alongside deep knowledge of how to ensure accurate, trustworthy, and high-quality AI outputs.

Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.

  • Plan, architect, and deploy AI systems, including Generative AI models and AI agents
  • Integrate AI solutions into existing business and data infrastructures
  • Evaluate and adopt suitable RAG (Retrieval-Augmented Generation) frameworks such as LangChain, Flowise, and RAGflow
  • Ensure that frameworks and technologies align with enterprise goals and compliance requirements
  • Design robust data pipelines for ingestion, transformation, and indexing
  • Implement best practices for vector databases, semantic search, and knowledge-base indexing
  • Devise prompt-engineering and response-validation mechanisms for reliable AI outputs
  • Incorporate thorough testing, quality control, and RLHF (Reinforcement Learning from Human Feedback) techniques where applicable
  • Architect agent-based solutions that can autonomously interact with systems and make informed decisions
  • Integrate operator-based flows that augment human workflows
  • Ensure solutions are scalable, secure, and manageable (MLOps/DevOps best practices)
  • Uphold responsible AI principles — transparency, fairness, privacy, and ethical data usage
  • Effectively communicate AI strategies and solution designs to both technical and non-technical stakeholders
  • Collaborate across multidisciplinary teams to ensure AI initiatives are aligned with organizational objectives

Requirements

  • 8+ years of experience in software development and solution architecture, with a proven record of delivering enterprise solutions
  • Deep understanding of Generative AI and large language models (LLMs)
  • Practical experience in prompt engineering and fine-tuning techniques
  • Hands-on experience with RAG frameworks: LangChain, Flowise, RAGflow
  • Expertise in deploying agentic and operator-based solutions using autonomous AI agents
  • Familiarity with indexing and semantic search technologies (e.g., Pinecone)
  • Expertise in building robust knowledge-base indexes for accurate information retrieval
  • Skills in creating and managing AI agents for automation, cognitive architectures, and autonomous operations
  • Understanding reinforcement learning and cognitive agent architectures
  • Knowledge of AI ethics, fairness, transparency, accountability, and responsible AI practices
  • Implementation of governance frameworks and ethical guidelines
  • Integrating AI seamlessly into existing operational workflows
  • Familiarity with FastAPI, Kubernetes, and DevSecOps/MLOps practices
  • Knowledge of semantic search, cognitive architectures, and reinforcement learning
  • Continuous learning mindset and proactive exploration of emerging AI technologies
  • Excellent stakeholder management and effective communication skills
  • Capability to translate complex AI concepts into actionable insights for technical and non-technical audiences
  • Excellent written and verbal communication skills in English (B2+ level)

Company offers

  • Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
  • Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
  • World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
  • Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
  • GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
  • Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
  • Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
  • Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
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