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What makes us a great place to work:
We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
Who you'll work with:
You will join our Architecture team within Enterprise Technology practice, delivering technology innovation for our clients across a diverse range of industries and domains. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today's biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity.
What you'll do:
Lead on creating core parts of the architecture, defining target and transition states, documenting key architecture decisions, working with stakeholders to gain agreement for decisions and presenting them at internal governance forums for approval.
About you:
Job ID: 146107497
Skills:
solution architecture, cloud, Apis, Technology Leadership, Data Architecture, AI-enabled architectures, architecture, Ai, event-driven design, operational resilience
Skills:
Noc, Verilog, power analysis, Synthesis, processor design, Design Verification, SoC designs, memory hierarchies, ASIC development, design IPs, systemverilog, integration flows, VHDL, accelerators, micro-architecture, low-power design techniques, bus architectures
Skills:
SAS, Python, R, retrieval-based systems, large language models, AI technologies
Skills:
LangChain, embeddings, Generative AI, Knowledge bases, Multimodal embeddings, Azure Form Recognizer, vector databases, document intelligence platforms, document lifecycle management, AI Gateway model access layer design, workflow orchestration frameworks, prompt engineering, LangGraph, Google Document AI, Agentic AI workflows, AWS Textract, end-to-end AI pipelines, Data Validation, semantic search
Skills:
snowflake , security practices, ELT, Data Quality, Data Governance, Databricks, Etl, lakehouse, lineage, Warehouse, KPIs, MS Fabric, cloud data platforms, metadata, streaming architectures, performance improvements
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