AI Solution Engineer

TekWisen Software Pvt. Ltd
23 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 96K

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Cloud Computing Security
Information Engineering
Machine Learning
Azure
Google Cloud Platform
Large Language Models
Build Management
Information Technology

Job description

We're looking for an experienced AI Solution Engineer to join our growing team. This is a client-facing, hands-on technical role that bridges the gap between business challenges and advanced AI capabilities. You'll collaborate closely with clients, sales, and development teams to design, prototype, and demonstrate AI-driven solutions that deliver measurable business value.

As a trusted advisor, you'll help shape cloud-based AI solutions, build proof-of-concepts, and showcase the power of technologies such as AWS Bedrock, Azure ML, Google Vertex AI, and OpenAI., * Collaborate with clients, sales, and technical teams to identify and shape feasible AI solutions.

  • Design and build proof-of-concept AI prototypes that demonstrate value and technical viability.
  • Translate business requirements into scalable AI/ML architectures using cloud AI services.
  • Support the sales process through technical presentations, demonstrations, and proposals.
  • Advise on model performance, architecture design, and deployment strategies.
  • Ensure alignment with security, compliance, and cost optimisation (FinOps) standards.
  • Communicate technical solutions clearly to both technical and non-technical audiences.

Requirements

Do you have experience in Machine learning?, Do you have a Bachelor's degree?, * Proven experience as an AI Solution Engineer, Pre-Sales Engineer, or AI Architect in an enterprise environment.

  • Strong knowledge of LLMs/SLMs, fine-tuning, inference optimisation, and retrieval-augmented generation (RAG).
  • Hands-on experience with at least two major cloud platforms (AWS, Azure, Google Cloud, OpenAI).
  • Understanding of machine learning, data engineering, and big data principles.
  • Familiarity with cloud security, AI landing zones, and AI cost optimisation.
  • Excellent communication skills with the ability to translate technical detail into business value., * Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Cloud certifications (AWS, Azure, or Google Cloud AI/ML) are a strong plus.

Benefits & conditions

We recognise and reward your contributions through a flexible, people-first culture:

  • Remote-first working environment with flexible hours.
  • Private medical cover and 24/7 virtual GP access.
  • Six volunteering days per year.
  • Ongoing career development and certification support.
  • Opportunity to work on leading-edge AI and cloud transformation projects.

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