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Lead Analyst - AI Engineer (Full Stack)

ABBTECH

London

On-site

GBP 80,000 - 100,000

Full time

2 days ago
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Job summary

A leading technology company is looking for an experienced AI Solutions Engineer in London. The ideal candidate will have over 10 years of experience and a strong background in building AI applications with expertise in Azure and various front-end technologies. You will work closely with business leaders to develop solutions that address their challenges and drive significant business benefits. Strong analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders are essential.

Qualifications

  • Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI.
  • Proficiency in various AI technologies including natural language processing and computer vision.

Responsibilities

  • Build front-end and back-end components for AI applications.
  • Deploy AI solutions using Azure and Kubernetes.
  • Document solution architecture in collaboration with architects.

Skills

Proficiency in front-end technologies (React or Angular)
Strong understanding of AI and machine learning frameworks
Experience with cloud and hybrid infrastructures
Proficiency in scripting and automation tools
Expertise in cloud native development in Microsoft Azure
Experience in AI use cases involving Salesforce AI

Education

Bachelors in engineering or equivalent

Tools

.NET
JavaScript
Angular
React
SQL Server
Azure deployment services
Kubernetes
GitHub
Azure Cognitive Services
GPT models

Job description

What you’ll do:

• Must have proven experience in Building front-end and back-end components for AI applications, building/consuming APIs, building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL

• Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control.

• Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies, natural language processing (NLP), computer vision and GPT models

• Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects.

• Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit.

• Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.

• Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders

Qualifications:

Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA.

2.Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI

3.Technical skills : Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot

Skills:

  • Proficiency in front-end technologies (React or Angular) and back-end technologies (e.g., Node.js, Python, .NET).

  • Strong understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

  • Experience with cloud and hybrid infrastructures.

  • Proficiency in scripting and automation tools (e.g., PowerShell, Azure CLI)

  • Expertise in cloud native development specialized in Microsoft Azure tech stack

  • Experience of working on AI use cases involving in Salesforce AI (Einstein and Agentforce), ServiceNow AI (NowAssist and AI Agents), SAP AI (Joule) , Oracle Cloud AI, AI applications in Industry 4.0

  • Experience with AI platforms like Palantir, Snowflake, and DataIku is advantageous

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