AI Architect Senior
AI Architect Senior
Posted on :
20-12-2024
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1 Vacancy
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Job Description
Job Title: AI Architect (Senior)
Location: Indiabased Noida preferred Chennai or Bangalore optional
Job Type: Fulltime
Band: E3/4
Job Description:
We are seeking an experienced Platform Architect with a strong background in AI/ML LLM SLM GenAI and Data Engineering to support the design development and cocreation of cuttingedge AI solutions with a strong focus on handson execution and rapid prototyping. This role will require expertise in building realworld solutions that can be quickly demonstrated to clients leveraging opensource tools and partner solutions to showcase impactful use cases across the industry verticals. The ideal candidate will be agile handson and capable of creating demos on the fly. They should be able to solution build demos play with customer data to build usecases and work with opensource elements and partner solutions (ISVs/SaaS/Technology majors) to show valuebased proofofconcepts. The candidate should have strong conceptualization skills and the ability to process data and build quick reallife demos and have excellent presentation skills to explain the solution to clients. The Architect should also be competent to work with internal stakeholders partners and clients proactively as well as support responses to RFIs and RFPs clearly exhibiting the ability to think outofthebox and build solution framework and architectural approach that stands well and uniquely differentiated.
Key Responsibilities:
Design prototype and architect scalable AI and ML Platform solutions using LLMs ML models and data engineering pipelines to solve business challenges in the products and services operations.
Support proactive client conversations and responses to RFx and work as a team to evolve highly differentiated and innovative approach to meet and excel customer needs
Work directly with customer data to build use cases and deliver quick functional demos demonstrating tangible outcomes with minimal turnaround time.
Create and deliver demos on the fly to showcase capabilities and solutions.
Develop and implement usecases by working with customer data.
Collaborate with opensource and partner solutions (ISVs SaaS Technology Partners) to create proofofconcept (POC) projects that illustrate value in reallife scenarios.
Lead bootcampstyle innovation workshops and competitions (e.g. innovation days) showcasing conceptualized solutions through rapid prototyping and demos.
Architect seamless integrations for AI outputs with business systems and dashboards focusing on formats like JSON arrays HTML and UI/UX design for demos.
Develop and optimize AI pipelines ensuring quick iteration from concept to demo including data preprocessing model training and evaluation for impactful results.
Stay informed on the latest tools frameworks and products in Platform AI/ GenAI LLM/ SLM and data engineering ensuring solutions leverage the most appropriate technologies.
Present AI solutions clearly and effectively to both technical and nontechnical stakeholders demonstrating strong communication and presentation skills.
Participate in innovationday competitions and similar events to showcase tangible solutions.
Provide technical leadership and guidance to development teams.
Ensure the scalability performance and security of platform solutions.
Stay updated with the latest industry trends and technologies.
Qualifications:
Bachelor s or master s degree in computer science engineering or a related field.
10 years of handson experience in fullstack engineering including AI and data engineering with proficiency in Python C# and architecture design.
5 years in technical leadership setting project direction and delivering AI solutions in realworld scenarios.
Proven experience as a Platform Architect or similar role deploying AI systems in production across vertical use cases including customer service and operational improvements.
Strong knowledge of natural language generation AI/ML LLMs machine learning algorithms GenAI and data engineering pipelines.
Familiarity with opensource platforms and partner solutions (SymphonyAI Nvidia Intel OpenVino) to quickly deliver results preferred.
Experience with AI frameworks (PyTorch TensorFlow Hugging Face) and platforms (AWS GCP Azure) including containerization.
Experience building rapid POCs and demos with the ability to conceptualize and deliver tangible outcomes in short timeframes.
Handson experience with opensource elements and partner solutions.
Excellent problemsolving and analytical skills presentation skills capable of explaining technical concepts and demoing AI solutions to a diverse audience.
Strong conceptualization and demobuilding skills.
Experience in participating in innovationday competitions or similar events.
Ability to work in a fastpaced and agile environment.
Preferred Skills:
Experience with cloud platforms (e.g. AWS Azure Google Cloud) OpenAI/GenAI stack preferably knowledge of Intel s OpenVino GetiTM SceneScape and/or Nvidia s omniverse CUDA toolkit TenserFlow framework or other similar technologies.
Good AI/ML and GenAI capabilities in terms of developing and deploying AI/ML models and algorithms implementing GenAI solutions for various usecases working with frameworks like TensorFlow PyTorch and other AI/ML tools integrating AI/ML solutions with existing systems and platforms.
Experience in selfsupervised learning transfer learning and reinforcement learning applied to service industry use cases.
Knowledge of AI ethics and responsible AI practices with a focus on delivering fair and secure AI solutions.
Familiarity with vector databases like Pinecone and other cuttingedge data engineering tools.
Knowledge of designing and implementing Digital Twins / Asset performance capabilities realtime simulation models to mirror physical assets Integrating digital twin solutions with IoT and other data sources optimizing asset performance and predictive maintenance using digital twin technology is preferred..
Good Data Engineering experiences in design and implementation of data pipelines and ETL processes working with large datasets to extract transform and load data for analysis ensuring data quality integrity and security optimizing data storage and retrieval for performance and scalability.
Knowledge of data privacy and security regulations.
Familiarity with DevOps practices and tools.
c#,llms,intel,docker,gcp,gen-ai,containerization,natural language generation,devops,artificial intelligence,slm,aws,tensorflow,presentation skills,data engineering,python,pytorch,azure,analytical skills,ml,ai/ml,ai frameworks,architecture development,nvidia,etl,demo-building skills,open-source platforms,problem-solving,machine learning algorithms,architects,architecture design
Employment Type
Full Time
Key Skills
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