Descripción de la oferta
pWe are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions from concept to production. This role combines deep technical expertise in AI/ML with strong leadership and communication skills to bridge business needs with engineering excellence. The ideal candidate will have 7+ years of experience building production-grade AI Data systems, with particular expertise in LLMs, cloud platforms, and end-to-end project delivery. You'll architect scalable AI solutions, guide technical teams through complex implementations, and balance cutting-edge innovation with practical business outcomes. /ppbr/ppbResponsibilities: /b /pulliLead software development projects from concept to production and beyond, define and design architecture of AI solutions and drive implementation /liliCollects project requirements from the business and technical stakeholders, ensures that requirements are complete, exhaustive and not contradictory /liliIndependently defines solution design and selects appropriate cloud- or platform-agnostic solutions and technology stack for the implementation /liliEnsures design accounts for technical (e.g. availability, performance) and business constraints /liliPlans implementation roadmap of the project, ensures solution design can be delivered in allotted time with available resources /liliInfluences or builds SDLC processes on a project/program level /liliBuilds POCs and prototypes to validate architectural decisions /liliEstablishes best practices for engineering teams, and mentors other senior engineers and tech leads /liliParticipates in hiring process and pre-sales activities within the account /liliCollaborates closely with cross-functional teams and stakeholders to understand strategic needs, align technical efforts /liliActs as the bridge between business/product stakeholders and the engineering team, communicate complex technical concepts to to non-technical stakeholders /liliStay up-to-date with latest AI industry trends and integrate emerging technologies to drive innovation and improve system performance, but at the same time balance innovation with operational pragmatism /li /ulpbr/ppbQualifications: /b /pulliOver 7 years of professional experience developing production-grade systems, particularly in AI/ML and Data Engineering /liliProven experience as Software Architect or Staff / Principal Engineer /liliProficient in Python programming and its ecosystem, particularly for web, AI/ML and data engineering /liliDeep expertise in LLMs: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability monitoring, LLM fine-tuning and evaluation metrics. /liliExperience in delivering complex AI/ML projects or programs from POC to production with continuous improvements and support /liliStrong expertise with at least one major cloud platform (GCP, AWS, or Azure), related ML platforms (e.g. Vertex AI) and MLOps best practices /liliPractical experience in modern end-to-end projects beyond AI/ML - frontend, backend, data engineering, cloud infrastructure, CI/CD, monitoring and observability. /liliHands-on experience in setting up and maintaining project infrastructure (e.g. CI/CD) /liliExperience in defining and setting up project SDLC /liliDeep domain knowledge in at least one of the following industries: Finance, Manufacturing, Healthcare, Life Sciences, Retail. /liliExcellent communication and leadership skills with the ability to lead discussions with clients and other teams /liliWould be a plus: hands-on experience with Deep Learning (NLP, Computer Vision, etc.) and popular frameworks such as PyTorch and Huggingface. /li /ulpbr/ppbWe offer /b /pulliOpportunity to work on bleeding-edge projects /liliWork with a highly motivated and dedicated team /liliCompetitive salary /liliFlexible schedule /liliProfessional development opportunities /li /ulpbr/ppbAbout us /b /ppGrid 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. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. /p
