AI Solution Architect

TN United Kingdom; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a seasoned Solutions Architect to lead technical initiatives and partner with high-impact clients. This role involves guiding customers through the ideation and development of innovative applications, leveraging cutting-edge AI technologies. You will work alongside a talented team, driving the success of strategic projects while optimizing solutions for maximum business impact. If you're passionate about AI and eager to make a significant difference in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 15+ years of experience in technical roles, with a focus on AI solutions.
• Strong background in cloud technologies and data integration.

Responsibilities

• Lead technical delivery and provide hands-on leadership for proofs-of-concept.
• Collaborate with engineers and product managers to deliver impactful solutions.

Skills

AI Solution Architect

Python

Cloud-based AI/ML technologies

Data governance

NLP

Deep Learning architectures

Agile methodologies

Education

Graduate in Engineering

Master’s in Computer Applications

Tools

AWS

Azure

Google Cloud Platform

Jupyter Notebooks

TensorFlow

PyTorch

Databricks

Job description

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Location: London, United Kingdom (Hybrid- 1 day/week)

Job Type: Contract Inside IR35

Client: Mphasis

Job Summary:

We are looking for a technically savvy and business-minded solutions architect to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scaling to accelerate and maximize the value of their applications on our platform. You will collaborate with a dynamic team of professionals, contribute to cutting-edge technologies, and make a significant impact on our company's success.

Years of experience needed: 15+ yrs

Responsibilities:

1. Lead development of and provide hands-on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers.
2. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems.
3. Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
4. Proactively guide our customers on how to maximize business impact from their applications, accelerating their time to value.
5. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful deployment and scaling of their applications.
6. Contribute to open-source developer and enterprise resources.
7. Scale the Solutions Architect function by sharing knowledge, codifying best practices, and publishing notebooks to internal and external repositories.
8. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

Technical Skills – Must have:

1. At least 5 years of experience as an AI Solution Architect, with knowledge of Transformer and other Deep Learning architectures, data lake architectures, data integration, and data governance.
2. At least 2 years of experience with cloud-based AI/ML technologies (AWS, Azure, Google, HuggingFace, OpenAI, Databricks) building ML or applied AI solutions.
3. A passion for Generative AI and understanding of the strengths and weaknesses of Generative LLMs.
4. Fundamental knowledge of ML, and basic understanding of AI, NLP, and Large Language Models (LLMs).
5. Proficiency in Python and Jupyter Notebooks.
6. In-depth knowledge of cloud platforms like AWS, GCP, and Azure.

Technical Skills – Good to have:

1. Expertise in frameworks such as TensorFlow, PyTorch, or Keras.
2. Experience with statistical programming languages (e.g., R or Python) and applied machine learning techniques.
3. Experience in Transform Architecture Design, especially LLM (Zero/Few Shot Training) or POC for SML.
4. Expertise in optimizing AI solutions for runtime cost.
5. Knowledge of conversational system architecture.
6. Extensive knowledge of APIs, integrations, and patterns.
7. Knowledge of big data technologies.
8. Understanding of statistical methods.

Other skills we'd appreciate:

• Understanding of NLP engines, AI, ML frameworks, etc.

Education qualification:

• Graduate in Engineering OR master’s in computer applications.

Process Skills:

• Understanding of Agile and Scrum methodologies.
• Skill in gathering and documenting user requirements and technical specifications.

Behavioral Skills:

• Good attitude and quick learner.
• Strong analytical, design, and problem-solving skills.
• Excellent communication skills, both oral and written.
• Team player, able to work with virtual teams.
• Self-motivated and independent worker.

Certification:

• Machine Learning or AI certifications are an advantage.