Enterprise Artificial Intelligence Architect
Role details
Job location
Tech stack
Job description
The Enterprise Artificial Intelligence Architect will play a key role in enabling AI product development across multiple cloud platforms, including AWS, Google Cloud and Azure. This role focuses on AI security, platforms and solutions, partnering with Business Technology Group teams, R&D, AI governance and regional data offices.
The architect will integrate large language models and agentic AI into business processes, leveraging Python and data manipulation tools to translate business requirements into generative AI solutions that deliver measurable results.
Responsibilities include designing enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms, infrastructure and knowledge management. The role provides architecture designs, patterns, reference frameworks and consulting services to support global AI initiatives.
The architect will contribute to building the organization's core AI landscape, defining and delivering AI products aligned with the AI platform while adhering to FAIR AI principles and applying proven methodologies for sustainable project and operational outcomes.
Responsibilities
- Design enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms and infrastructure
- Integrate large language models and agentic AI into business processes to deliver measurable outcomes
- Translate business requirements into generative AI solutions using Python and data manipulation tools
- Provide architecture designs, patterns, reference frameworks and consulting services for AI initiatives
- Partner with Business Technology Group teams, R&D, AI governance and regional data offices to align AI strategies
- Define and deliver AI products aligned with enterprise AI platforms and FAIR AI principles
- Support the development of global AI infrastructure to enable pharmaceutical innovation and drug discovery
- Ensure AI solutions adhere to security, compliance and sustainability standards
- Contribute to knowledge management and best practices for enterprise AI adoption
- Drive continuous improvement and innovation in AI architecture and delivery models
Requirements
- Extensive experience in enterprise architecture with a focus on AI/ML solutions and platforms
- Strong knowledge of cloud platforms including AWS, Google Cloud and Azure
- Proficiency in Python and data manipulation tools for AI solution development
- Experience with large language models, NLP and agentic AI integration
- Familiarity with AI security, governance and compliance frameworks
- Ability to design and implement AI architectures, patterns and reference frameworks
- Strong consulting and stakeholder management skills across global teams
- Understanding of FAIR AI principles and sustainable AI delivery methodologies
- Background in pharmaceutical or life sciences industry is an advantage
- Relevant certifications in AI, cloud architecture or enterprise architecture are desirable
Benefits & conditions
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses, * WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.
