Lead Solutions Architect

4 weeks ago

London, United Kingdom Searce Inc Full time

Job Description

About Searce

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI, and analytics.

  • We are a category-defining niche’ cloud-native technology consulting company, specializing in modernizing (improving, automating & transforming) the full scope of infra, app, process & work.
  • We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries.
  • Our Service Offerings: Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services.
  • As one of the top 5 niches’ full-scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.

Job Location: London, United Kingdom

Job Description

Roles and Responsibilities

  1. Collaborate with cloud consultants and OEM partners to design and implement modern, scalable AI solutions using a range of new and emerging technologies from the Cloud (Google Cloud and AWS). Continuously work towards identifying new business opportunities and prioritize pursuits for Applied AI.
  2. Analyze, document and optimize the overall proposed solution architecture; Create SoWs, build on market case studies and use cases; guide clients and teams through their AI transformation journeys on Cloud.
  3. Showcase your Cloud and AI/ML architecture experience when communicating with clients on their requirements, turning these into technical futuristic AI solutions.
  4. Proactively liaise and be part of our extensive Cloud community, contributing in the knowledge exchange.
  5. Demonstrate expertise & and experience in computer vision, NLP, conversational AI and MLOps along with a deep understanding of ML Architecture and Model lifecycle including non-functional requirements and operations management.
  6. Work closely with internal specialists and delivery teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
  7. Must have the right Solution and architecture experience working with Google AI and Data Products BigQuery, Document AI, CCAI, Dialogflow, Vertex AI, Data-prep, etc. or similar products on any other public cloud platforms.
  8. Establish processes, operations, measurements, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems).

Qualification:

Bachelor’s degree in Engineering or other highly technical equivalent experience, along with:

  1. Relevant years of experience in delivering complex AI or Data Analytics projects on Cloud Platforms (Google and/or AWS).
  2. Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e. computer vision, deep learning, conversational AI, and natural language processing frameworks).
  3. Experience in systems design with the ability to architect and explain Machine Learning Operations platforms.
  4. Ability to translate business problems into futuristic AI solutions.
  5. Excellent collaboration skills, and experience working in client collaborative environments on Data-driven projects.
  6. Proven success in contributing to a multi-geographical team Demonstrate excellent communication, written, presentation, and problem-solving skills.
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