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AI Architect LLM
1 miesiąc temu
Grid Dynamics is looking for a Senior AI Architect to lead major engagements with Fortune 1000 clients and develop the Generative AI practice across the USA, Europe, and Asia business units. We are looking for a result-oriented thought leader to drive disruptive innovation and capability building in Generative AI, Agentic solutions, and LLMOps; a trusted advisor to our customers across verticals to design and deliver enterprise AI solutions.
Responsibilities:
- Pre-Sales and Consulting: Lead Generative AI consulting engagements, pre-sales activities and assessments, and discovery workshops. Plan AI programs of Fortune 1000 enterprises and lead teams of AI/ML engineers who work on client accounts and drive consulting engagements to success.
- Technology Strategy and R&D: Create and bring to the market solutions in enterprise AI and generative AI. Drive innovation through research and development activities on industry trends, leading RnD teams, and developing assets and solutions strategies across multiple industries.
- Engineering: Work with Grid Dynamics’s delivery organization to ensure that the right tools, technologies, and processes are in place across the firm to transform and continuously improve the quality and efficiency of AI/ML solutions for our clients.
- Partnership Development: Develop relationships with key technology partners such as GCP, AWS, Azure, or NVIDIA.
Requirements:
- Strong experience in generative AI solutions for at least one of the following domains: customer facing such as products search; employee productivity such as knowledge management systems; supply chain and manufacturing such as equipment operations.
- Extensive knowledge and practical experience with deep learning, natural language processing, computer vision. Good understanding of LLM strengths and limitations, usage techniques.
- Extensive practical experience in AI/ML platforms, MLOps, LLMOps, and corresponding tooling including open-source, cloud native, and proprietary.
- Experience in managing and delivering sophisticated analytical programs and AI/ML solutions at the enterprise scale.
- Deep domain knowledge in at least one of the following industries: Finance, Manufacturing, Healthcare, Life Sciences, Retail.
- Experience with leading teams of senior technologists, willingness and ability to drive the practice development, pre-sales collaboration, and delivery in a consulting environment.
- Experience managing key client relations worldwide and advised global technology and business leaders on innovation and data strategy.
Technology skills:
- Strong expertise with at least one cloud platform and familiarity with other two: GCP, AWS, or Azure
- Hands-on experience with PyTorch, LangGraph, CrewAI, traditional ML (sklearn, etc.)
- Hands-on expertise in creating GenAI applications: Closed and open source LLMs, RAG, Agentic, Observability, Fine-tuning
- MLOps and LLMOps: Vertex AI, Sagemaker, Databricks, vector databases
We offer:
- Amazing colleagues to work with, share and learn from
- The high-energy atmosphere of a growing and successful company
- Competitive salary
- Work on bleeding-edge projects with a team of experienced and motivated engineers
- Flexible working hours
- Well-equipped office located in the centre of the city
- Possibility to switch to another project within an account
- Private medical insurance for employees and their family members
- Corporate benefit program
About us:
Grid Dynamics is a leading provider of technology consulting, agile co-creation and scalable engineering and data science services for Fortune 1000 corporations undergoing digital transformation. We help organizations become more agile and create innovative digital products and experiences using deep expertise in emerging technology, top global engineering talent, lean software development practices, and a high-performance product culture. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, Mexico, UK, Netherlands, Switzerland, India, and Central and Eastern Europe.
